LTA
National Tennis Centre, 100 Priory Lane, Roehampton, London, SW15 5JQ
DATA ANALYST Responsible to Head of Customer Engagement Location National Tennis Centre, 100 Priory Lane, Roehampton, London SW15 5JQ Salary c. £45,000 - £50,000
About the role The LTA’s vision is “Tennis Opened Up” and its mission is to make tennis Relevant, Accessible, Welcoming and Enjoyable. One of the key strategies to deliver against this, is to develop, deliver and manage a robust engagement programme for the range of LTA audiences – LTA members/subscribers, coaches, volunteers, local clubs etc.
The Customer Engagement Team’s role is:
to grow a satisfied, active and engaged membership and fan base and engage them through a personalised, omnichannel approach
to engage a range of audiences, including clubs, coaches, volunteers, counties.
to define the membership proposition and manage membership
to drive attendance at our National and Major Events
to grow awareness of LTA activity through consumer channels
The Data Analyst will be part of the Customer Engagement team, reporting into the Head of Customer Engagement. This is a standalone analyst, so the analytical abilities of Data Analyst need to be strong as they will play a crucial role in enabling the Customer Engagement team to build customer insights from scratch from a newly implemented SCV.
Key Responsibilities
Delivering ad hoc and on-going business analysis to support insight generation for customer strategy development using LTA and, where relevant, external data. This in turn will be used to design and create personalised communications to selected target audiences
Support the identification of key target groups and personalisation opportunities
Building and running regular reports
Aggregating/ deriving variables for targeting and personalising through Salesforce, and reporting
Designing and executing analytical projects (data gathering, manipulation, synthesis, modelling) - building predictive models, developing bespoke scores (e.g. range of engagement metrics into one score) and indicators, building or supporting the build of a bespoke segmentation, deep dive opportunity analysis
Evaluating product performance / strategy
Designing and delivering exploratory, deep dive insight aimed at answering broad business questions about different customer behaviours
Advise and help define KPIs for marketing activity
This role will be a key member of the Customer Engagement team that will be using Salesforce marketing cloud to deliver against the personalised, omnichannel vision. Experience using the Salesforce Marketing module is therefore desired.
Person Specification Previous Experience:
Significant data analysis experience, ideally with exposure to the Salesforce Marketing module - Essential
Extensive experience in an omnichannel marketing environment working with complex data - Essential
Demonstrable experience of steering data analytics and strategy - Essential
Gathering and scoping requirements for a variety of analytical projects - Essential
A background in modelling, segmentation and statistical analysis, including the delivery of actionable insights, in a marketing environment - Essential
Building strong relationships with key stakeholders - Essential
Machine learning techniques and experience of utilising modern approaches to omnichannel marketing analysis techniques - Desirable
Knowledge, Training & Qualifications:
Strong grounding in statistics and programming with Python or R is essential, as well as skills using SQL - Essential
Educated to degree level in a numerate subject; Mathematics, Statistics, Engineering, Physics, Chemistry, Economics, Machine Learning, Computer Science etc. - Essential
Knowledge of one of PowerBI or QlikView - Essential
Personal Attributes: Teamwork - Adept at building and maintaining effective relationships internally and externally - Proactive in sharing information about their work and seeking information from others - Experience of working in a multi team environment and across teams
Integrity - Demonstrates the LTA’s values to external audiences - Accuracy and attention to detail, meets deadlines - Self-motivated with the ability to work with minimal supervision - Solution-focused and able to work calmly under pressure
Passion - Passionate about the vision and mission of the LTA - Adaptable and flexible, with a focus on excellent delivery - Sets goals and thinks strategically and creatively to achieve them
Excellence - Excellent communication skills (both written and verbal) and personal presentation skills enabling you to quickly gain credibility. - Ability to produce work to a high standard, work to tight deadlines and perform under pressure in a demanding environment. - Creativity in identifying solutions and solving problems
To apply
To find out more and to apply please review the full JD at the following link: https://jobs.lta.org.uk/templates/LTA/jobdetail_2763.aspx – we look forward to reviewing your application.
Closing date for applications is Sunday, 2nd June.
14/05/2019
Full time
DATA ANALYST Responsible to Head of Customer Engagement Location National Tennis Centre, 100 Priory Lane, Roehampton, London SW15 5JQ Salary c. £45,000 - £50,000
About the role The LTA’s vision is “Tennis Opened Up” and its mission is to make tennis Relevant, Accessible, Welcoming and Enjoyable. One of the key strategies to deliver against this, is to develop, deliver and manage a robust engagement programme for the range of LTA audiences – LTA members/subscribers, coaches, volunteers, local clubs etc.
The Customer Engagement Team’s role is:
to grow a satisfied, active and engaged membership and fan base and engage them through a personalised, omnichannel approach
to engage a range of audiences, including clubs, coaches, volunteers, counties.
to define the membership proposition and manage membership
to drive attendance at our National and Major Events
to grow awareness of LTA activity through consumer channels
The Data Analyst will be part of the Customer Engagement team, reporting into the Head of Customer Engagement. This is a standalone analyst, so the analytical abilities of Data Analyst need to be strong as they will play a crucial role in enabling the Customer Engagement team to build customer insights from scratch from a newly implemented SCV.
Key Responsibilities
Delivering ad hoc and on-going business analysis to support insight generation for customer strategy development using LTA and, where relevant, external data. This in turn will be used to design and create personalised communications to selected target audiences
Support the identification of key target groups and personalisation opportunities
Building and running regular reports
Aggregating/ deriving variables for targeting and personalising through Salesforce, and reporting
Designing and executing analytical projects (data gathering, manipulation, synthesis, modelling) - building predictive models, developing bespoke scores (e.g. range of engagement metrics into one score) and indicators, building or supporting the build of a bespoke segmentation, deep dive opportunity analysis
Evaluating product performance / strategy
Designing and delivering exploratory, deep dive insight aimed at answering broad business questions about different customer behaviours
Advise and help define KPIs for marketing activity
This role will be a key member of the Customer Engagement team that will be using Salesforce marketing cloud to deliver against the personalised, omnichannel vision. Experience using the Salesforce Marketing module is therefore desired.
Person Specification Previous Experience:
Significant data analysis experience, ideally with exposure to the Salesforce Marketing module - Essential
Extensive experience in an omnichannel marketing environment working with complex data - Essential
Demonstrable experience of steering data analytics and strategy - Essential
Gathering and scoping requirements for a variety of analytical projects - Essential
A background in modelling, segmentation and statistical analysis, including the delivery of actionable insights, in a marketing environment - Essential
Building strong relationships with key stakeholders - Essential
Machine learning techniques and experience of utilising modern approaches to omnichannel marketing analysis techniques - Desirable
Knowledge, Training & Qualifications:
Strong grounding in statistics and programming with Python or R is essential, as well as skills using SQL - Essential
Educated to degree level in a numerate subject; Mathematics, Statistics, Engineering, Physics, Chemistry, Economics, Machine Learning, Computer Science etc. - Essential
Knowledge of one of PowerBI or QlikView - Essential
Personal Attributes: Teamwork - Adept at building and maintaining effective relationships internally and externally - Proactive in sharing information about their work and seeking information from others - Experience of working in a multi team environment and across teams
Integrity - Demonstrates the LTA’s values to external audiences - Accuracy and attention to detail, meets deadlines - Self-motivated with the ability to work with minimal supervision - Solution-focused and able to work calmly under pressure
Passion - Passionate about the vision and mission of the LTA - Adaptable and flexible, with a focus on excellent delivery - Sets goals and thinks strategically and creatively to achieve them
Excellence - Excellent communication skills (both written and verbal) and personal presentation skills enabling you to quickly gain credibility. - Ability to produce work to a high standard, work to tight deadlines and perform under pressure in a demanding environment. - Creativity in identifying solutions and solving problems
To apply
To find out more and to apply please review the full JD at the following link: https://jobs.lta.org.uk/templates/LTA/jobdetail_2763.aspx – we look forward to reviewing your application.
Closing date for applications is Sunday, 2nd June.
Are you passionate about using Data Science techniques to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused and data-rich world of online travel?
Our Data Science team is growing! We are looking for a Principal Data Scientist to use Machine Learning to help optimize hundreds of millions of dollars of Marketing spend and to help increase customer long-term value through relevant and engaging communications. This exciting opportunity would allow you to solve high-impact, complex problems using some of the latest technology and approaches.
In addition, you will mentor and provide technical support to more junior members of the team and help ensure the timely delivery of key projects.
If you are an advocate for using Data Science to understand customer point of view and are seeking a high-profile role in which you’ll be able to influence our senior leadership team’s strategic decision-making, this could be the role for you!
What you'll do:
Build, deploy and optimise machine learning models which support improved acquisition and profitability of customers. This will entail working on a broad range of projects, including:
Optimizing our bidding strategies within Acquisition channels (accounting for seasonal trends, spend constraints, auction dynamics…)
Predicting customers long-term value to optimise spend allocation, re-targeting strategies…
Predicting customers intent and preferences to tailor landing pages, online advertising, Email/Push communications…
Mentor and provide technical support to more junior members of the team
Work in close partnership with Global Marketing, Product, Data and Technology teams to identify new opportunities to leverage Data Science and ensure that key projects that are carried out in the team are delivered in a timely fashion.
Develop a deep understanding of our data infrastructure and champion infrastructure development needs which will help the whole team work more effectively.
Be a technical leader on use, adoption and implementation of machine learning.
Who you are
MSc or PhD degree in any of the following fields: machine learning or computer science, statistics, mathematics with strong machine learning component;
Hands on experience in machine learning, building datasets, selecting and engineering features, building and optimizing algorithms;
Experience in several of the following domains: Real-time bidding, Learn-to-Rank, Recommender Systems, NLP, Computer Vision, Deep Learning, Regression, Classification, Clustering
Advanced knowledge of at least one of the following programming languages: Python, Scala;
Experience with statistics/machine learning packages such as Spark MLlib, Python (scikit-learn, pandas, numpy, scipy, Matplotlib), Keras, TensorFlow, PyTorch etc.
Good SQL/data manipulation skills required including cleaning and managing data;
Good programming practices, ability to write readable, fast code.
Intellectual curiosity and desire to learn new things, techniques and technologies
Nice to have:
Knowledge of test design, implementation and evaluation, with website A/B testing experience a plus;
Real world experience with Internet scale data on Spark, Hadoop or similar platform highly preferred;
Experience with data visualisation tools and packages
Join us to disrupt and have a look at what could be your career at Expedia
Why join us:
Expedia Group recognizes our success is dependent on the success of our people. We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business. Our brands recognize the power of travel to break down barriers and make people's lives better – that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them the tools to do so.
Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach. We relentlessly strive for better, but not at the cost of the customer. We act with humility and optimism, respecting ideas big and small. We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground so we can act fast and stay simple. Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.
If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.
Our family of travel brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Egencia®, trivago®, HomeAway®, Orbitz®, Travelocity®, Wotif®, lastminute.com.au®, ebookers®, CheapTickets®, Hotwire®, Classic Vacations®, Expedia® Media Solutions, CarRentals.com™, Expedia Local Expert®, Expedia® CruiseShipCenters®, SilverRail Technologies, Inc., ALICE and Traveldoo®.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
10/05/2019
Full time
Are you passionate about using Data Science techniques to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused and data-rich world of online travel?
Our Data Science team is growing! We are looking for a Principal Data Scientist to use Machine Learning to help optimize hundreds of millions of dollars of Marketing spend and to help increase customer long-term value through relevant and engaging communications. This exciting opportunity would allow you to solve high-impact, complex problems using some of the latest technology and approaches.
In addition, you will mentor and provide technical support to more junior members of the team and help ensure the timely delivery of key projects.
If you are an advocate for using Data Science to understand customer point of view and are seeking a high-profile role in which you’ll be able to influence our senior leadership team’s strategic decision-making, this could be the role for you!
What you'll do:
Build, deploy and optimise machine learning models which support improved acquisition and profitability of customers. This will entail working on a broad range of projects, including:
Optimizing our bidding strategies within Acquisition channels (accounting for seasonal trends, spend constraints, auction dynamics…)
Predicting customers long-term value to optimise spend allocation, re-targeting strategies…
Predicting customers intent and preferences to tailor landing pages, online advertising, Email/Push communications…
Mentor and provide technical support to more junior members of the team
Work in close partnership with Global Marketing, Product, Data and Technology teams to identify new opportunities to leverage Data Science and ensure that key projects that are carried out in the team are delivered in a timely fashion.
Develop a deep understanding of our data infrastructure and champion infrastructure development needs which will help the whole team work more effectively.
Be a technical leader on use, adoption and implementation of machine learning.
Who you are
MSc or PhD degree in any of the following fields: machine learning or computer science, statistics, mathematics with strong machine learning component;
Hands on experience in machine learning, building datasets, selecting and engineering features, building and optimizing algorithms;
Experience in several of the following domains: Real-time bidding, Learn-to-Rank, Recommender Systems, NLP, Computer Vision, Deep Learning, Regression, Classification, Clustering
Advanced knowledge of at least one of the following programming languages: Python, Scala;
Experience with statistics/machine learning packages such as Spark MLlib, Python (scikit-learn, pandas, numpy, scipy, Matplotlib), Keras, TensorFlow, PyTorch etc.
Good SQL/data manipulation skills required including cleaning and managing data;
Good programming practices, ability to write readable, fast code.
Intellectual curiosity and desire to learn new things, techniques and technologies
Nice to have:
Knowledge of test design, implementation and evaluation, with website A/B testing experience a plus;
Real world experience with Internet scale data on Spark, Hadoop or similar platform highly preferred;
Experience with data visualisation tools and packages
Join us to disrupt and have a look at what could be your career at Expedia
Why join us:
Expedia Group recognizes our success is dependent on the success of our people. We are the world's travel platform, made up of the most knowledgeable, passionate, and creative people in our business. Our brands recognize the power of travel to break down barriers and make people's lives better – that responsibility inspires us to be the place where exceptional people want to do their best work, and to provide them the tools to do so.
Whether you're applying to work in engineering or customer support, marketing or lodging supply, at Expedia Group we act as one team, working towards a common goal; to bring the world within reach. We relentlessly strive for better, but not at the cost of the customer. We act with humility and optimism, respecting ideas big and small. We value diversity and voices of all volumes. We are a global organization but keep our feet on the ground so we can act fast and stay simple. Our teams also have the chance to give back on a local level and make a difference through our corporate social responsibility program, Expedia Cares.
If you have a hunger to make a difference with one of the most loved consumer brands in the world and to work in the dynamic travel industry, this is the job for you.
Our family of travel brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Egencia®, trivago®, HomeAway®, Orbitz®, Travelocity®, Wotif®, lastminute.com.au®, ebookers®, CheapTickets®, Hotwire®, Classic Vacations®, Expedia® Media Solutions, CarRentals.com™, Expedia Local Expert®, Expedia® CruiseShipCenters®, SilverRail Technologies, Inc., ALICE and Traveldoo®.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Role: Big Data Engineer Consultant
Location: London
Travel: Up to 100%
Salary: £53,000 - £68,000 + benefits
The digital revolution is changing everything. It’s everywhere – transforming how we work and play. Are you reacting to the disruption each day or are you leading the way as a digital disrupter? Accenture Digital is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At the forefront of digital, you’ll create it, own it and make it a reality for our clients. Join us and become an integral part of our experienced digital team with the credibility, expertise and insight our clients depend on.
Accenture Digital is powered by three practices – Analytics, Interactive, and Mobility. As part of our Analytics practice, you’ll help businesses deliver insight-driven outcomes in entirely new ways.Accenture Analytics supports clients to turn information into action by driving technology-enabled business insights, creating a "decision making environment" embracing social media, cloud, mobility, big data and legacy environments. We deliver and run the information strategy, architecture and governance that enable a "single source of the truth", empowering our clients to analyse that data for smarter decision making, actions and outcomes.We invite you to learn more at: https://www.accenture.com/gb-en/understanding-data-analysis
What responsibilities will you have?
Work with client teams to design and implement modern, scalable data pipelines and architectures leveraging Hadoop, NoSQL, Apache open source and emerging technologies, covering:
On-premise and cloud-based deployment patterns
Streaming, micro-batching and right-time use cases
Agile and DevOps techniques and implementation approaches
Provide innovative data engineering design and deployment approaches that leverage innovations in in-memory processing, agile delivery, automation, storage architectures etc. to design modern data pipelines at speed and scale
Working closely with technology partners, Accenture Technology Labs and Accenture Innovation centres to incubate emerging technologies and build prototypes/demos to enhance our data engineering codebases and frameworks
Mentor and upskill other data engineers
What skills & experience are we looking for?
We are looking for data engineering practitioners who can complement our team with a demonstrable, hands-on range of skills that have been used to deploy use cases in production.
Mandatory skills:
Processing frameworks & programming tools: Spark (Scala/Python/Java), Kafka, Flink
Hadoop platforms & distributions: Cloudera, Hortonworks, MapR, EMR
Agile and DevOps delivery practices: familiarity with agile and DevOps delivery and deployment methodologies, experience with continuous integration, automated code reviews and regression testing using tools such as Atlassian Jira, Confluence, Cloudbees Jenkins, Selenium Grid, SonarQube and Docker
Data modelling & data pipeline design: iterative data pipeline development from raw, curated, integrated to published data, with fit for use data modelling on Hadoop and NoSQL platforms
Client facing skills : solid experience working in client facing / consulting environments, to be able to build trusted relationships with client stakeholders and act as a trusted adviser.
Ideally, you’ll also have:
Cloud platforms: Developing data engineering pipelines on AWS, Azure, GCP, including with Cloud platform PaaS components; Databricks
NoSQL: HBase, Cassandra, MongoDB, CouchDB, Memcached, DynamoDB, Druid, BigTable
Search: SOLR, ElasticSearch
Design skills: data product design thinking, features definition, prototyping, usability testing and data visualisation literacy
Machine Learning tools, interfaces & Libraries: R, R-Studio, Spark R, sparklyr, MLlib, H2O etc
What personal qualities do we expect?
Proven ability to apply analytical and creative thought
Proven ability to deliver high profile activities to tight timescales
Proven success in contributing to a team-oriented environment
Experience delivering projects within an agile environment
Excellent leadership, communication (written and oral) and interpersonal skills
Keenness to learn and try new things
Willingness to travel
Ideally, educated to degree level
What’s in it for you?
Your entrepreneurial spirit and vision will be rewarded, and your success will fuel opportunities for career advancement.
You’ll make a difference for some pretty impressive clients. Accenture serves many of the FTSE 100 on high-profile projects.
Opportunities to learn daily through training, assignments and collaboration with experts across the company.
Access to leading-edge technology.
09/05/2019
Full time
Role: Big Data Engineer Consultant
Location: London
Travel: Up to 100%
Salary: £53,000 - £68,000 + benefits
The digital revolution is changing everything. It’s everywhere – transforming how we work and play. Are you reacting to the disruption each day or are you leading the way as a digital disrupter? Accenture Digital is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At the forefront of digital, you’ll create it, own it and make it a reality for our clients. Join us and become an integral part of our experienced digital team with the credibility, expertise and insight our clients depend on.
Accenture Digital is powered by three practices – Analytics, Interactive, and Mobility. As part of our Analytics practice, you’ll help businesses deliver insight-driven outcomes in entirely new ways.Accenture Analytics supports clients to turn information into action by driving technology-enabled business insights, creating a "decision making environment" embracing social media, cloud, mobility, big data and legacy environments. We deliver and run the information strategy, architecture and governance that enable a "single source of the truth", empowering our clients to analyse that data for smarter decision making, actions and outcomes.We invite you to learn more at: https://www.accenture.com/gb-en/understanding-data-analysis
What responsibilities will you have?
Work with client teams to design and implement modern, scalable data pipelines and architectures leveraging Hadoop, NoSQL, Apache open source and emerging technologies, covering:
On-premise and cloud-based deployment patterns
Streaming, micro-batching and right-time use cases
Agile and DevOps techniques and implementation approaches
Provide innovative data engineering design and deployment approaches that leverage innovations in in-memory processing, agile delivery, automation, storage architectures etc. to design modern data pipelines at speed and scale
Working closely with technology partners, Accenture Technology Labs and Accenture Innovation centres to incubate emerging technologies and build prototypes/demos to enhance our data engineering codebases and frameworks
Mentor and upskill other data engineers
What skills & experience are we looking for?
We are looking for data engineering practitioners who can complement our team with a demonstrable, hands-on range of skills that have been used to deploy use cases in production.
Mandatory skills:
Processing frameworks & programming tools: Spark (Scala/Python/Java), Kafka, Flink
Hadoop platforms & distributions: Cloudera, Hortonworks, MapR, EMR
Agile and DevOps delivery practices: familiarity with agile and DevOps delivery and deployment methodologies, experience with continuous integration, automated code reviews and regression testing using tools such as Atlassian Jira, Confluence, Cloudbees Jenkins, Selenium Grid, SonarQube and Docker
Data modelling & data pipeline design: iterative data pipeline development from raw, curated, integrated to published data, with fit for use data modelling on Hadoop and NoSQL platforms
Client facing skills : solid experience working in client facing / consulting environments, to be able to build trusted relationships with client stakeholders and act as a trusted adviser.
Ideally, you’ll also have:
Cloud platforms: Developing data engineering pipelines on AWS, Azure, GCP, including with Cloud platform PaaS components; Databricks
NoSQL: HBase, Cassandra, MongoDB, CouchDB, Memcached, DynamoDB, Druid, BigTable
Search: SOLR, ElasticSearch
Design skills: data product design thinking, features definition, prototyping, usability testing and data visualisation literacy
Machine Learning tools, interfaces & Libraries: R, R-Studio, Spark R, sparklyr, MLlib, H2O etc
What personal qualities do we expect?
Proven ability to apply analytical and creative thought
Proven ability to deliver high profile activities to tight timescales
Proven success in contributing to a team-oriented environment
Experience delivering projects within an agile environment
Excellent leadership, communication (written and oral) and interpersonal skills
Keenness to learn and try new things
Willingness to travel
Ideally, educated to degree level
What’s in it for you?
Your entrepreneurial spirit and vision will be rewarded, and your success will fuel opportunities for career advancement.
You’ll make a difference for some pretty impressive clients. Accenture serves many of the FTSE 100 on high-profile projects.
Opportunities to learn daily through training, assignments and collaboration with experts across the company.
Access to leading-edge technology.
QUALIFICATIONS
MSc or PhD level in a relevant field (such as Computer Science, Machine Learning, Applied Statistics, Mathematics)
Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning
Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
Experience in applying data science methods to business problems
Programming experience in languages such as: Python, R, Scala, SQL
Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
Knowledge of distributed computing or NoSQL technologies is a bonus
Proven application of advanced analytical and statistical methods in the commercial world
WHO YOU'LL WORK WITH
As a Principal Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
Mentor Senior Data Scientists and providing guidance to Fellow Data Scientists where required
Be responsible for providing insights to the Leadership team based on client and team learnings
Take ownership of separate work streams, for instance R&D or Recruiting
Be responsible for Recruiting other Data Scientists with the Recruiting team
Plan and execute secure, good practice data integration strategies and approaches
Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Create and manage data environments in the Cloud
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
Using a strong understanding of Information Security principles to ensure compliant handling and management of client data
Supporting Data Scientists by creating Views, Queries, and data extracts to help their analysis
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
12/05/2019
Full time
QUALIFICATIONS
MSc or PhD level in a relevant field (such as Computer Science, Machine Learning, Applied Statistics, Mathematics)
Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning
Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
Experience in applying data science methods to business problems
Programming experience in languages such as: Python, R, Scala, SQL
Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
Knowledge of distributed computing or NoSQL technologies is a bonus
Proven application of advanced analytical and statistical methods in the commercial world
WHO YOU'LL WORK WITH
As a Principal Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work with our clients to model their data landscape, obtain data extracts and define secure data exchange approaches
Mentor Senior Data Scientists and providing guidance to Fellow Data Scientists where required
Be responsible for providing insights to the Leadership team based on client and team learnings
Take ownership of separate work streams, for instance R&D or Recruiting
Be responsible for Recruiting other Data Scientists with the Recruiting team
Plan and execute secure, good practice data integration strategies and approaches
Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
Create and manage data environments in the Cloud
Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
Using a strong understanding of Information Security principles to ensure compliant handling and management of client data
Supporting Data Scientists by creating Views, Queries, and data extracts to help their analysis
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Main purpose of the role:
This is a senior development role working in the team responsible for the firm’s Big Data analytics platform, with a specialism in Java or Scala required. The successful candidate will work in the data team to build out the existing platform to support additional technology and business use-cases involving both on-premise and Cloud implementations. The platform delivers data solutions across BGC Group including use-cases for: market data analytics, regulatory reporting, surveillance and revenue analysis.
Key responsibilities: The objectives of the role:
To work in partnership with the business/business analysts to identify key requirements for implementation
To identify any technical requirements for new products
To work with all the business and technology departments to ensure all business and technical requirements are met
To identify and manage any integration work
To analyse, design and build any such projects
To provide input into the current and on-going system architecture
To liaise with other development teams as necessary to implement cross-team projects
Be alert to Conduct Risk issues, specifically the risk of harm to client interests, market integrity and/or competition in financial markets due to inappropriate practices or behaviours across the firm
To undertake and manage:
Systems analysis and design
Systems development
Systems documentation
Production support and out-of-hours system maintenance
Skills / experience required:
Minimum of 3 years development experience working with Big Data platforms covering the following technologies:
Java or Scala on Linux. Docker beneficial.
Hortonworks, Hive
Kafka, KafkaConnect, KafkaStreaming
Spark, SparkSQL, Yarn, Ansible
Also :
Substantial database experience: Relational and NoSQL data modelling.
Experience of software development in a financial services environment advantageous
Willingness to keep up to date with latest technology trends and proactively identify appropriate areas into which they can be applied
Solid Computing Degree
Additional Beneficial Skills / Experience:
Cassandra / Datastax, ElasticSearch, LogStash, Kibana
Experience in addressing efficient data storage and querying against very large stores
Experience in accommodating key requirements of MIFID II in designs/implementations
AWS: Data Pipeline, S3, EMR, Lamda, DynamoDB, RedShift
Experience in the use of high performance messaging middleware such as Tibco RV or Solace
Personal attributes:
Team player with excellent inter-personal skills and confident communication skills.
Able to effectively disseminate knowledge and experience to less experienced team members
Must be able to deal with our customers effectively, ie development teams working across the globe using Messaging and Data products, alongside external vendors who use the products
Must be able to deal with and adapt to change extremely effectively
Must be proactive in generating ideas and effective at developing solutions that are balanced, proportionate and effective. It is critical that this is achieved in collaboration with the global team
Ability to work and function under pressure, handle multiple tasks, and shifting priorities
“Self-starter” always looking to improve quality of process and deliverables and keen to take a lead role in that process
12/05/2019
Full time
Main purpose of the role:
This is a senior development role working in the team responsible for the firm’s Big Data analytics platform, with a specialism in Java or Scala required. The successful candidate will work in the data team to build out the existing platform to support additional technology and business use-cases involving both on-premise and Cloud implementations. The platform delivers data solutions across BGC Group including use-cases for: market data analytics, regulatory reporting, surveillance and revenue analysis.
Key responsibilities: The objectives of the role:
To work in partnership with the business/business analysts to identify key requirements for implementation
To identify any technical requirements for new products
To work with all the business and technology departments to ensure all business and technical requirements are met
To identify and manage any integration work
To analyse, design and build any such projects
To provide input into the current and on-going system architecture
To liaise with other development teams as necessary to implement cross-team projects
Be alert to Conduct Risk issues, specifically the risk of harm to client interests, market integrity and/or competition in financial markets due to inappropriate practices or behaviours across the firm
To undertake and manage:
Systems analysis and design
Systems development
Systems documentation
Production support and out-of-hours system maintenance
Skills / experience required:
Minimum of 3 years development experience working with Big Data platforms covering the following technologies:
Java or Scala on Linux. Docker beneficial.
Hortonworks, Hive
Kafka, KafkaConnect, KafkaStreaming
Spark, SparkSQL, Yarn, Ansible
Also :
Substantial database experience: Relational and NoSQL data modelling.
Experience of software development in a financial services environment advantageous
Willingness to keep up to date with latest technology trends and proactively identify appropriate areas into which they can be applied
Solid Computing Degree
Additional Beneficial Skills / Experience:
Cassandra / Datastax, ElasticSearch, LogStash, Kibana
Experience in addressing efficient data storage and querying against very large stores
Experience in accommodating key requirements of MIFID II in designs/implementations
AWS: Data Pipeline, S3, EMR, Lamda, DynamoDB, RedShift
Experience in the use of high performance messaging middleware such as Tibco RV or Solace
Personal attributes:
Team player with excellent inter-personal skills and confident communication skills.
Able to effectively disseminate knowledge and experience to less experienced team members
Must be able to deal with our customers effectively, ie development teams working across the globe using Messaging and Data products, alongside external vendors who use the products
Must be able to deal with and adapt to change extremely effectively
Must be proactive in generating ideas and effective at developing solutions that are balanced, proportionate and effective. It is critical that this is achieved in collaboration with the global team
Ability to work and function under pressure, handle multiple tasks, and shifting priorities
“Self-starter” always looking to improve quality of process and deliverables and keen to take a lead role in that process
Main purpose of the role:
This is a senior development role working in the team responsible for the firm’s Big Data analytics platform, with a specialism in Java or Scala required. The successful candidate will work in the data team to build out the existing platform to support additional technology and business use-cases involving both on-premise and Cloud implementations. The platform delivers data solutions across BGC Group including use-cases for: market data analytics, regulatory reporting, surveillance and revenue analysis.
Key responsibilities: The objectives of the role:
To work in partnership with the business/business analysts to identify key requirements for implementation
To identify any technical requirements for new products
To work with all the business and technology departments to ensure all business and technical requirements are met
To identify and manage any integration work
To analyse, design and build any such projects
To provide input into the current and on-going system architecture
To liaise with other development teams as necessary to implement cross-team projects
Be alert to Conduct Risk issues, specifically the risk of harm to client interests, market integrity and/or competition in financial markets due to inappropriate practices or behaviours across the firm
To undertake and manage:
Systems analysis and design
Systems development
Systems documentation
Production support and out-of-hours system maintenance
Skills / experience required:
Minimum of 3 years development experience working with Big Data platforms covering the following technologies:
Java or Scala on Linux. Docker beneficial.
Hortonworks, Hive
Kafka, KafkaConnect, KafkaStreaming
Spark, SparkSQL, Yarn, Ansible
Also :
Substantial database experience: Relational and NoSQL data modelling.
Experience of software development in a financial services environment advantageous
Willingness to keep up to date with latest technology trends and proactively identify appropriate areas into which they can be applied
Solid Computing Degree
Additional Beneficial Skills / Experience:
Cassandra / Datastax, ElasticSearch, LogStash, Kibana
Experience in addressing efficient data storage and querying against very large stores
Experience in accommodating key requirements of MIFID II in designs/implementations
AWS: Data Pipeline, S3, EMR, Lamda, DynamoDB, RedShift
Experience in the use of high performance messaging middleware such as Tibco RV or Solace
Personal attributes:
Team player with excellent inter-personal skills and confident communication skills.
Able to effectively disseminate knowledge and experience to less experienced team members
Must be able to deal with our customers effectively, ie development teams working across the globe using Messaging and Data products, alongside external vendors who use the products
Must be able to deal with and adapt to change extremely effectively
Must be proactive in generating ideas and effective at developing solutions that are balanced, proportionate and effective. It is critical that this is achieved in collaboration with the global team
Ability to work and function under pressure, handle multiple tasks, and shifting priorities
“Self-starter” always looking to improve quality of process and deliverables and keen to take a lead role in that process
08/05/2019
Full time
Main purpose of the role:
This is a senior development role working in the team responsible for the firm’s Big Data analytics platform, with a specialism in Java or Scala required. The successful candidate will work in the data team to build out the existing platform to support additional technology and business use-cases involving both on-premise and Cloud implementations. The platform delivers data solutions across BGC Group including use-cases for: market data analytics, regulatory reporting, surveillance and revenue analysis.
Key responsibilities: The objectives of the role:
To work in partnership with the business/business analysts to identify key requirements for implementation
To identify any technical requirements for new products
To work with all the business and technology departments to ensure all business and technical requirements are met
To identify and manage any integration work
To analyse, design and build any such projects
To provide input into the current and on-going system architecture
To liaise with other development teams as necessary to implement cross-team projects
Be alert to Conduct Risk issues, specifically the risk of harm to client interests, market integrity and/or competition in financial markets due to inappropriate practices or behaviours across the firm
To undertake and manage:
Systems analysis and design
Systems development
Systems documentation
Production support and out-of-hours system maintenance
Skills / experience required:
Minimum of 3 years development experience working with Big Data platforms covering the following technologies:
Java or Scala on Linux. Docker beneficial.
Hortonworks, Hive
Kafka, KafkaConnect, KafkaStreaming
Spark, SparkSQL, Yarn, Ansible
Also :
Substantial database experience: Relational and NoSQL data modelling.
Experience of software development in a financial services environment advantageous
Willingness to keep up to date with latest technology trends and proactively identify appropriate areas into which they can be applied
Solid Computing Degree
Additional Beneficial Skills / Experience:
Cassandra / Datastax, ElasticSearch, LogStash, Kibana
Experience in addressing efficient data storage and querying against very large stores
Experience in accommodating key requirements of MIFID II in designs/implementations
AWS: Data Pipeline, S3, EMR, Lamda, DynamoDB, RedShift
Experience in the use of high performance messaging middleware such as Tibco RV or Solace
Personal attributes:
Team player with excellent inter-personal skills and confident communication skills.
Able to effectively disseminate knowledge and experience to less experienced team members
Must be able to deal with our customers effectively, ie development teams working across the globe using Messaging and Data products, alongside external vendors who use the products
Must be able to deal with and adapt to change extremely effectively
Must be proactive in generating ideas and effective at developing solutions that are balanced, proportionate and effective. It is critical that this is achieved in collaboration with the global team
Ability to work and function under pressure, handle multiple tasks, and shifting priorities
“Self-starter” always looking to improve quality of process and deliverables and keen to take a lead role in that process
Main purpose of the role:
This is a Big Data Systems Administrator role working in the team responsible for the firm’s Big Data analytics platform. The successful candidate will work with the Data team to build out the existing platform to support additional technology and business use-cases involving both on-premise and Cloud implementations. The platform delivers data solutions across BGC Group including use-cases for: market data analytics, regulatory reporting, surveillance and revenue analysis.
Key responsibilities: The objectives of the role:
To work in partnership with the Big Data technical team to identify key requirements for implementation to enhance capability and to preserve/protect current capabilities
To implement and support systems administration requirements for the Reference Data Platform
To performance tune the Big Data platform in accordance with current and upcoming needs.
To identify, implement and test enhancements to better automate, monitor, deploy and support the firm’s Data platforms
To plan, document, implement and test expansion of data systems installations
To plan, document and test Business Continuity Processes and support Disaster Recovery exercises
To implement and support changes needed for executing PoC’s both on-premise and Cloud.
To provide production support for the firm’s Data platforms
To provide out-of-hours upgrade/maintenance/support of the data platform as required.
To work with all the business and technology departments to ensure all business and technical requirements are met
To identify and manage any integration work required
To analyse, design and build any such projects
To provide input into the current and on-going system design
To liaise with other development teams as necessary to implement cross-team projects.
Be alert to Conduct Risk issues, specifically the risk of harm to client interests, market integrity and/or competition in financial markets due to inappropriate practices or behaviors across the firm
Skills / experience required:
Minimum of 5 years sysadmin and/or devops experience working with Big Data platforms covering the following technologies:
Linux OS, networks, bash and python scripting, automation with Ansible. VMware
Hortonworks, HDP stack, Ambari management,Yarn. Hive
Experience of HDP upgrades. HDFS, Kafka and Spark cluster admin
Bigdata cluster monitoring experience
Relational Database administration and SQL experience
Jenkins, Artifactory Git and Docker
Willingness to keep up to date with latest technology trends and proactively identify appropriate areas into which they can be applied
Solid Computing Degree
Additional Beneficial Skills / experience:
Administration and performance tuning of Datastax/Cassandra
Administration and performance tuning of Elastic Search, Logstash, Kibana
Integation of AWS services
Personal attributes:
Team player with excellent inter-personal skills and confident communication skills.
Able to effectively disseminate knowledge and experience to less experienced team members
Must be able to deal with our customers effectively, ie development teams working across the globe using Messaging and Data products, alongside external vendors who use the products
Must be able to deal with and adapt to change extremely effectively
Must be proactive in generating ideas and effective at developing solutions that are balanced, proportionate and effective. It is critical that this is achieved in collaboration with the global team
Ability to work and function under pressure, handle multiple tasks, and shifting priorities
“Self-starter” always looking to improve quality of process and deliverables and keen to take a lead role in that process
08/05/2019
Full time
Main purpose of the role:
This is a Big Data Systems Administrator role working in the team responsible for the firm’s Big Data analytics platform. The successful candidate will work with the Data team to build out the existing platform to support additional technology and business use-cases involving both on-premise and Cloud implementations. The platform delivers data solutions across BGC Group including use-cases for: market data analytics, regulatory reporting, surveillance and revenue analysis.
Key responsibilities: The objectives of the role:
To work in partnership with the Big Data technical team to identify key requirements for implementation to enhance capability and to preserve/protect current capabilities
To implement and support systems administration requirements for the Reference Data Platform
To performance tune the Big Data platform in accordance with current and upcoming needs.
To identify, implement and test enhancements to better automate, monitor, deploy and support the firm’s Data platforms
To plan, document, implement and test expansion of data systems installations
To plan, document and test Business Continuity Processes and support Disaster Recovery exercises
To implement and support changes needed for executing PoC’s both on-premise and Cloud.
To provide production support for the firm’s Data platforms
To provide out-of-hours upgrade/maintenance/support of the data platform as required.
To work with all the business and technology departments to ensure all business and technical requirements are met
To identify and manage any integration work required
To analyse, design and build any such projects
To provide input into the current and on-going system design
To liaise with other development teams as necessary to implement cross-team projects.
Be alert to Conduct Risk issues, specifically the risk of harm to client interests, market integrity and/or competition in financial markets due to inappropriate practices or behaviors across the firm
Skills / experience required:
Minimum of 5 years sysadmin and/or devops experience working with Big Data platforms covering the following technologies:
Linux OS, networks, bash and python scripting, automation with Ansible. VMware
Hortonworks, HDP stack, Ambari management,Yarn. Hive
Experience of HDP upgrades. HDFS, Kafka and Spark cluster admin
Bigdata cluster monitoring experience
Relational Database administration and SQL experience
Jenkins, Artifactory Git and Docker
Willingness to keep up to date with latest technology trends and proactively identify appropriate areas into which they can be applied
Solid Computing Degree
Additional Beneficial Skills / experience:
Administration and performance tuning of Datastax/Cassandra
Administration and performance tuning of Elastic Search, Logstash, Kibana
Integation of AWS services
Personal attributes:
Team player with excellent inter-personal skills and confident communication skills.
Able to effectively disseminate knowledge and experience to less experienced team members
Must be able to deal with our customers effectively, ie development teams working across the globe using Messaging and Data products, alongside external vendors who use the products
Must be able to deal with and adapt to change extremely effectively
Must be proactive in generating ideas and effective at developing solutions that are balanced, proportionate and effective. It is critical that this is achieved in collaboration with the global team
Ability to work and function under pressure, handle multiple tasks, and shifting priorities
“Self-starter” always looking to improve quality of process and deliverables and keen to take a lead role in that process
Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers : Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017.
Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates, and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts.
What you will be doing: Key responsibilities
As a Senior Data Scientist, your role will encompass:
Leading and conducting ambitious projects in the transformation of clients through data
Having a contributor role in raising the level of competencies of the data science team
Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
You’ll also participate in international projects. Business travel is something you enjoy!
Among your responsibilities as Senior Data Scientist, you will be responsible for:
Leading data projects
Managing the resources on your projects to ensure challenges and skills are well match
Securing delivery on your projects
Communicating the successes of your projects among the company
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
Being a great tech role model
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Qualifications: Education & experience required
A Master’s degree in machine learning, mathematics, computer science, or related fields
Fluent Mandarin and Cantonese language skills
Fluent English language skills
4+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
Considerable experience using R, SQL, Databricks, Snowflake, Git, JIRA & Spotfire
Strong experience and knowledge of data processing, data modeling, algorithms, and data architecture
Experience leading a technical project in a business context
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
What we are looking for
A Doer: you get things done and inspire your teams to do the same
An Analyst: you LOVE data and think every company should take their decisions with facts
A Pragmatist: you have a hacker mindset and always find the quick wins
A Mentor: your clients and teams naturally seek for advice
An Adventurer: you’re an entrepreneur constantly looking for problems to solve
Why you should join us
Artefact is the place to be: come and build the future of marketing
Progress: every day offers new challenges and new opportunities to learn
Culture: join the best team you could ever imagine
Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
24/04/2019
Full time
Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers : Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017.
Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates, and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts.
What you will be doing: Key responsibilities
As a Senior Data Scientist, your role will encompass:
Leading and conducting ambitious projects in the transformation of clients through data
Having a contributor role in raising the level of competencies of the data science team
Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
You’ll also participate in international projects. Business travel is something you enjoy!
Among your responsibilities as Senior Data Scientist, you will be responsible for:
Leading data projects
Managing the resources on your projects to ensure challenges and skills are well match
Securing delivery on your projects
Communicating the successes of your projects among the company
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring
Being a great tech role model
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Qualifications: Education & experience required
A Master’s degree in machine learning, mathematics, computer science, or related fields
Fluent Mandarin and Cantonese language skills
Fluent English language skills
4+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
Considerable experience using R, SQL, Databricks, Snowflake, Git, JIRA & Spotfire
Strong experience and knowledge of data processing, data modeling, algorithms, and data architecture
Experience leading a technical project in a business context
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
What we are looking for
A Doer: you get things done and inspire your teams to do the same
An Analyst: you LOVE data and think every company should take their decisions with facts
A Pragmatist: you have a hacker mindset and always find the quick wins
A Mentor: your clients and teams naturally seek for advice
An Adventurer: you’re an entrepreneur constantly looking for problems to solve
Why you should join us
Artefact is the place to be: come and build the future of marketing
Progress: every day offers new challenges and new opportunities to learn
Culture: join the best team you could ever imagine
Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers : Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017.
Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates, and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts.
What you will be doing: Key responsibilities
As a Junior Data Scientist, your role will encompass:
Conducting ambitious projects in the transformation of clients through data
Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
Among your responsibilities as a Junior Data Scientist, you will be responsible for:
Performing data projects
Securing delivery on your projects
Communicating your work and achievements among the team
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Ensuring that your solutions are bringing values to the client problematic
Being a good team player, knowing your role and responsibility in the global ambition
Being a great tech person
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Qualifications: Education & experience required
A Master’s degree in machine learning, mathematics, computer science, or related fields
Hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
Strong knowledge of data processing, data modeling, algorithms, and data architecture
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
What we are looking for
A Doer: you get things done and inspire your teams to do the same
An Analyst: you LOVE data and think every company should take their decisions with facts
A Pragmatist: you have a hacker mindset and always find the quick wins
A Mentor: your clients and teams naturally seek for advice
An Adventurer: you’re an entrepreneur constantly looking for problems to solve
Why you should join us
Artefact is the place to be: come and build the future of marketing
Progress: every day offers new challenges and new opportunities to learn
Culture: join the best team you could ever imagine
Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
24/04/2019
Full time
Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers : Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017.
Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates, and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts.
What you will be doing: Key responsibilities
As a Junior Data Scientist, your role will encompass:
Conducting ambitious projects in the transformation of clients through data
Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
Among your responsibilities as a Junior Data Scientist, you will be responsible for:
Performing data projects
Securing delivery on your projects
Communicating your work and achievements among the team
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Ensuring that your solutions are bringing values to the client problematic
Being a good team player, knowing your role and responsibility in the global ambition
Being a great tech person
Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
Researching and developing new technical approaches to address problems efficiently
Sharing best practices and contributing to Artefact’s institutional knowledge
Embodying Artefact’s values and inspiring others to do the same
Qualifications: Education & experience required
A Master’s degree in machine learning, mathematics, computer science, or related fields
Hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
Strong knowledge of data processing, data modeling, algorithms, and data architecture
Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact
What we are looking for
A Doer: you get things done and inspire your teams to do the same
An Analyst: you LOVE data and think every company should take their decisions with facts
A Pragmatist: you have a hacker mindset and always find the quick wins
A Mentor: your clients and teams naturally seek for advice
An Adventurer: you’re an entrepreneur constantly looking for problems to solve
Why you should join us
Artefact is the place to be: come and build the future of marketing
Progress: every day offers new challenges and new opportunities to learn
Culture: join the best team you could ever imagine
Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
Brave is looking for an experienced software engineer to join Brave's reseach team to help with both developing new ambitious research ideas and in transferring advanced research prototypes into Brave products. This job involves working side-by-side with both researchers and developers. The Brave browser relies on some deep tech and we are commited to moving cutting-edge research ideas into practice.
Brave is already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.
Specific Skills That Will Set You Apart from the Competition
Applied cryptography
Blockchain
Machine learning
Decentralized machine learning
Ph.D. in computer science from a top-tier school, although we will consider someone who has a Master's degree but has some research experience
About you
An ideal candidate will have a mix of skills that include the following:
Demonstrates a high level of initiative and consistently delivers high-quality answers
Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
Is excited by the potential of realising high-value commercial outcomes and change the way that the advertising business operates
Want to be part of a high-growth startup company with global ambitions
Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or Rust is also strongly encouraged.
Has a proven track record products and a broad understanding of the state of the art in applied crypto, blockchain, or machine learning
Comfortable working in an open source setting
Has a passion for helping protect users’ privacy and security
What we offer
Ability to work at an exciting and well-funded international startup headquartered in San Francisco
Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
Competitive compensation and plenty of room for personal growth
Great international exposure and team atmosphere
We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
24/04/2019
Full time
Brave is looking for an experienced software engineer to join Brave's reseach team to help with both developing new ambitious research ideas and in transferring advanced research prototypes into Brave products. This job involves working side-by-side with both researchers and developers. The Brave browser relies on some deep tech and we are commited to moving cutting-edge research ideas into practice.
Brave is already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.
Specific Skills That Will Set You Apart from the Competition
Applied cryptography
Blockchain
Machine learning
Decentralized machine learning
Ph.D. in computer science from a top-tier school, although we will consider someone who has a Master's degree but has some research experience
About you
An ideal candidate will have a mix of skills that include the following:
Demonstrates a high level of initiative and consistently delivers high-quality answers
Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
Is excited by the potential of realising high-value commercial outcomes and change the way that the advertising business operates
Want to be part of a high-growth startup company with global ambitions
Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or Rust is also strongly encouraged.
Has a proven track record products and a broad understanding of the state of the art in applied crypto, blockchain, or machine learning
Comfortable working in an open source setting
Has a passion for helping protect users’ privacy and security
What we offer
Ability to work at an exciting and well-funded international startup headquartered in San Francisco
Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
Competitive compensation and plenty of room for personal growth
Great international exposure and team atmosphere
We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
Brave is looking for an experienced Machine Learning engineer to help build our Brave Web Browser. It's already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.
Specific Skills That Will Set You Apart from the Competition
Privacy-preserving machine learning
Decentralized machine learning
Deep knowledge of adtech
Ph.D. in computer science from a top-tier school
About you
An ideal candidate will have a mix of skills that include the following:
Demonstrates a high level of initiative and consistently delivers high-quality answers
Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
Is excited by the potential of realising high-value commercial outcomes and change the way that the advertising business operates
Want to be part of a high-growth startup company with global ambitions
Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or C# is also strongly encouraged.
Has a proven track record implementing data driven products and a broad understanding of the state of the art in machine learning
Comfortable working in an open source setting
Able to create and deploy machine learning pipelines
Has a passion for helping protect users’ privacy and security
A Ph.D. in computer science is highly preferred, but we may consider some exceptions
Specific Skills
Logistic Regression, Decision Trees, Random Forest, Naive Bayes, Clustering, etc. and a good grasp of the strengths and weaknesses of specific approaches
Basic data cleansing and preparation, variable preprocessing/transformation
Univariate analysis, performing statistical tests, covariance analysis, multivariate analysis and linear/non-linear regression
Preparation of data sets for predictive modelling, robust predictive model building, validation and application
Automation of statistical processes and integration into a bigger product
Experience in Hadoop technologies such as Hive / Impala and distributed data pipelines such as Airflow / Luigi
What we offer
Ability to work at an exciting and well-funded international startup headquartered in San Francisco
Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
Competitive compensation and plenty of room for personal growth
Great international exposure and team atmosphere
We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
24/04/2019
Full time
Brave is looking for an experienced Machine Learning engineer to help build our Brave Web Browser. It's already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.
Specific Skills That Will Set You Apart from the Competition
Privacy-preserving machine learning
Decentralized machine learning
Deep knowledge of adtech
Ph.D. in computer science from a top-tier school
About you
An ideal candidate will have a mix of skills that include the following:
Demonstrates a high level of initiative and consistently delivers high-quality answers
Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
Is excited by the potential of realising high-value commercial outcomes and change the way that the advertising business operates
Want to be part of a high-growth startup company with global ambitions
Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or C# is also strongly encouraged.
Has a proven track record implementing data driven products and a broad understanding of the state of the art in machine learning
Comfortable working in an open source setting
Able to create and deploy machine learning pipelines
Has a passion for helping protect users’ privacy and security
A Ph.D. in computer science is highly preferred, but we may consider some exceptions
Specific Skills
Logistic Regression, Decision Trees, Random Forest, Naive Bayes, Clustering, etc. and a good grasp of the strengths and weaknesses of specific approaches
Basic data cleansing and preparation, variable preprocessing/transformation
Univariate analysis, performing statistical tests, covariance analysis, multivariate analysis and linear/non-linear regression
Preparation of data sets for predictive modelling, robust predictive model building, validation and application
Automation of statistical processes and integration into a bigger product
Experience in Hadoop technologies such as Hive / Impala and distributed data pipelines such as Airflow / Luigi
What we offer
Ability to work at an exciting and well-funded international startup headquartered in San Francisco
Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
Competitive compensation and plenty of room for personal growth
Great international exposure and team atmosphere
We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
SPYSCAPE is a totally new kind of edutainment and media company. We aim to educate and entertain people as we inspire them to see the world and their own potential more clearly. Find out more here .
We need a data-driven analyst to help us understand the performance of our products, services and experiences . You’ll work with Product Management and Marketing in user research, and bring rigour to quantifying and qualifying customer behaviour and sentiment.
We're looking for someone who wants to help create a purpose-led global brand for the 21st century.
What would interest us?
A passion for constant improvement
Demonstrated ability to use tools like Excel, R, SQL and BI tools like Tableau / Looker.
Product management / analyst experience
Knowledge of research methods and statistical methods
What will resonate with you
Loves data, data visualisation and the stories you can tell
Care about user experience, and good creative environments
Cares deeply about statistical validity
Want a start up vibe in a grown up company
22/04/2019
Full time
SPYSCAPE is a totally new kind of edutainment and media company. We aim to educate and entertain people as we inspire them to see the world and their own potential more clearly. Find out more here .
We need a data-driven analyst to help us understand the performance of our products, services and experiences . You’ll work with Product Management and Marketing in user research, and bring rigour to quantifying and qualifying customer behaviour and sentiment.
We're looking for someone who wants to help create a purpose-led global brand for the 21st century.
What would interest us?
A passion for constant improvement
Demonstrated ability to use tools like Excel, R, SQL and BI tools like Tableau / Looker.
Product management / analyst experience
Knowledge of research methods and statistical methods
What will resonate with you
Loves data, data visualisation and the stories you can tell
Care about user experience, and good creative environments
Cares deeply about statistical validity
Want a start up vibe in a grown up company
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport.
Our team
As a part of Modelling and Decision Sciences, you will develop technologies to enhance McLaren's analytics capability and deliver solutions to complex industrial problems. You will support projects and concepts across our key Business Units including Health, Public Transport, Automotive, Motorsport and our Strategic Partnerships.
Our Decision Science team form the front line to understand client needs and convert them into technical solutions. Working closely with the clients, partners, and internal business units, to build the definition of the problem, as well as with technical teams to deliver complex solutions. Combining relevant market and commercial expertise with hands on data science/modelling/simulation skills alongside a comprehensive view of solutions architecture. In a unique position to drive innovation in line with the strategic goals of MAT/MDSci, by bridging the gap between the various technical teams and business / market facing units.
The role
We are looking for the right individual to help enhance our already ‘world class’ team of data scientists and Simulation engineers.
Requirements
Previous Experience Leading a high performance, multidiscipline team.
BSc in mathematics, computer science, statistics, operations research, or other relevant numerate discipline
MSc or PhD in operational research
Experience in solving complex process modelling problems using tools such as MATLAB, AnyLogic, R or Python
Skills and experience
Experience in combining modelling and data-driven techniques
Experience of developing models to solve problems in the healthcare or transport industries
Personal attributes
A problem solver, using innovative cutting-edge techniques who is passionate about technology
We are looking for someone who actively researches emerging industry trends and open-source technologies, and communicates them to the team
A keen interest in a specific area of systems modelling (e.g. discrete-event simulation) would be beneficial
The work environment
You will be based at our unique offices in the South Bank area of London. The building boasts spacious offices and meeting rooms, a gaming lounge and stunning views of London. It also hosts weekly events, classes, workshops and happy hours, encouraging the best and brightest to network and discuss the next big idea to hit the tech industry over a drink or two. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required.
McLaren’s Product Innovation Framework
Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies.
Recruitment process
If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters.
If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge and a video interview. This will be completed in your own time.
The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.
22/04/2019
Full time
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport.
Our team
As a part of Modelling and Decision Sciences, you will develop technologies to enhance McLaren's analytics capability and deliver solutions to complex industrial problems. You will support projects and concepts across our key Business Units including Health, Public Transport, Automotive, Motorsport and our Strategic Partnerships.
Our Decision Science team form the front line to understand client needs and convert them into technical solutions. Working closely with the clients, partners, and internal business units, to build the definition of the problem, as well as with technical teams to deliver complex solutions. Combining relevant market and commercial expertise with hands on data science/modelling/simulation skills alongside a comprehensive view of solutions architecture. In a unique position to drive innovation in line with the strategic goals of MAT/MDSci, by bridging the gap between the various technical teams and business / market facing units.
The role
We are looking for the right individual to help enhance our already ‘world class’ team of data scientists and Simulation engineers.
Requirements
Previous Experience Leading a high performance, multidiscipline team.
BSc in mathematics, computer science, statistics, operations research, or other relevant numerate discipline
MSc or PhD in operational research
Experience in solving complex process modelling problems using tools such as MATLAB, AnyLogic, R or Python
Skills and experience
Experience in combining modelling and data-driven techniques
Experience of developing models to solve problems in the healthcare or transport industries
Personal attributes
A problem solver, using innovative cutting-edge techniques who is passionate about technology
We are looking for someone who actively researches emerging industry trends and open-source technologies, and communicates them to the team
A keen interest in a specific area of systems modelling (e.g. discrete-event simulation) would be beneficial
The work environment
You will be based at our unique offices in the South Bank area of London. The building boasts spacious offices and meeting rooms, a gaming lounge and stunning views of London. It also hosts weekly events, classes, workshops and happy hours, encouraging the best and brightest to network and discuss the next big idea to hit the tech industry over a drink or two. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required.
McLaren’s Product Innovation Framework
Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies.
Recruitment process
If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters.
If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge and a video interview. This will be completed in your own time.
The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.
Freetrade is a next-generation investment tech startup, bringing free stock investing to the UK and Europe for the first time ever. We’ve built a beautiful investing app to trade in real shares, with zero commissions or fees in a fluid, mobile-first experience.
Our mission is to build a totally new culture around investing: innovative, customer-first and universally accessible. With over £4m in funding so far and as the most overfunded company ever on Crowdcube, we're a growing team poised to disrupt the £1.2 trillion UK retail investments market. And that's just the start.
We are looking for a Principal Software Engineer to join our small, but growing product-led engineering team. You’ll be one of the first engineers to join at this level, and you’ll evolve our architecture and take ownership of the design and development of core features. Plus, you’ll help us raise the bar for best practices, help us hire a world-class team with a brilliant engineering culture.
Our stack:
Using GCP's serverless offerings like Firebase, Cloud Composer & Stackdriver, we're able to build a reliable and performant platform with a small team. We use the real-time database, cloud functions and the other features like pub/sub to provide a frictionless investment platform. We're language-agnostic, as we're focused on finding amazing software engineers who want to build something exciting with us.
In your first twelve months at Freetrade, you will:
Evolve our technical architecture to scale with our rapidly growing customer community.
Develop a deep understanding of our entire stack and the processes and technologies relevant to our fintech space.
Be capable of supporting the product from end to end.
Raise the bar for our entire engineering team through best practices, automation, documentation, and hiring.
Level up our operational excellence, and drive our team to maintain it, so that common regressions are root caused.
Use your understanding of industry trends to identify potential engineering optimisations for the business.
Our work culture prioritises speed, care and effectiveness and you’ll have the freedom to pursue your own ideas and solutions.
BENEFITS
£75,000 to £90,000, combined with a stake in the company you’re building. We benchmark stock options to US tech companies, not Europe, so your equity will be truly meaningful.
Our office is in a beautiful co-working space in Spitalfields. There’s an abundance of health, wellness and cultural events happening every day, and buzzy Brick Lane is just a street away.
Flexible working arrangements and an understanding of what it means to be a working parent.
Top-end health insurance for you and your family, life insurance, enhanced pension, enhanced parental leave, and more!
MacBook Pro, new phone, snazzy headphones... whatever tools you need.
Opportunity to have a huge impact on our product while fast-tracking your knowledge, responsibility and skills in a high growth tech startup.
Frequent team lunches in a thriving food scene, plus team away days in cool locations.
We're very open about what we're working on, and the best places to learn more are our buzzing community forum and our blog .
17/04/2019
Full time
Freetrade is a next-generation investment tech startup, bringing free stock investing to the UK and Europe for the first time ever. We’ve built a beautiful investing app to trade in real shares, with zero commissions or fees in a fluid, mobile-first experience.
Our mission is to build a totally new culture around investing: innovative, customer-first and universally accessible. With over £4m in funding so far and as the most overfunded company ever on Crowdcube, we're a growing team poised to disrupt the £1.2 trillion UK retail investments market. And that's just the start.
We are looking for a Principal Software Engineer to join our small, but growing product-led engineering team. You’ll be one of the first engineers to join at this level, and you’ll evolve our architecture and take ownership of the design and development of core features. Plus, you’ll help us raise the bar for best practices, help us hire a world-class team with a brilliant engineering culture.
Our stack:
Using GCP's serverless offerings like Firebase, Cloud Composer & Stackdriver, we're able to build a reliable and performant platform with a small team. We use the real-time database, cloud functions and the other features like pub/sub to provide a frictionless investment platform. We're language-agnostic, as we're focused on finding amazing software engineers who want to build something exciting with us.
In your first twelve months at Freetrade, you will:
Evolve our technical architecture to scale with our rapidly growing customer community.
Develop a deep understanding of our entire stack and the processes and technologies relevant to our fintech space.
Be capable of supporting the product from end to end.
Raise the bar for our entire engineering team through best practices, automation, documentation, and hiring.
Level up our operational excellence, and drive our team to maintain it, so that common regressions are root caused.
Use your understanding of industry trends to identify potential engineering optimisations for the business.
Our work culture prioritises speed, care and effectiveness and you’ll have the freedom to pursue your own ideas and solutions.
BENEFITS
£75,000 to £90,000, combined with a stake in the company you’re building. We benchmark stock options to US tech companies, not Europe, so your equity will be truly meaningful.
Our office is in a beautiful co-working space in Spitalfields. There’s an abundance of health, wellness and cultural events happening every day, and buzzy Brick Lane is just a street away.
Flexible working arrangements and an understanding of what it means to be a working parent.
Top-end health insurance for you and your family, life insurance, enhanced pension, enhanced parental leave, and more!
MacBook Pro, new phone, snazzy headphones... whatever tools you need.
Opportunity to have a huge impact on our product while fast-tracking your knowledge, responsibility and skills in a high growth tech startup.
Frequent team lunches in a thriving food scene, plus team away days in cool locations.
We're very open about what we're working on, and the best places to learn more are our buzzing community forum and our blog .
QUALIFICATION
MSc or PhD level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics
Experience in statistical modelling and machine learning techniques
Programming experience in at least two of the following languages: Python, R, Scala, SQL
Experience in applying data science methods to business problems
Experience in applying advanced analytical and statistical methods in the commercial world
Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields
WHO YOU'LL WORK WITH
As a Senior Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Use Maths, Stats and Machine learning to derive key insights across various industry sectors including Formula 1, Pharma, Travel, Financial Services, Automotive
Work alongside the Principal Data Scientist to develop world-class data science products for clients as well as for our data science team
Write code to advance our internal Data Science toolbox
Mentor Fellow Data Scientists and Data Scientists where required
Play an active role in leading team meetings and workshops with clients
Work on complex data sets from some of the world’s largest organisations
Work in a multi-disciplinary environment mixing highly skilled people in data science, data engineering and design
Perhaps most importantly, you will work in one of the largest and most talented data science teams in London
Build strong links with the academic world and constantly share ideas and stay ahead of the curve on the latest methods
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
15/04/2019
Full time
QUALIFICATION
MSc or PhD level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics
Experience in statistical modelling and machine learning techniques
Programming experience in at least two of the following languages: Python, R, Scala, SQL
Experience in applying data science methods to business problems
Experience in applying advanced analytical and statistical methods in the commercial world
Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields
WHO YOU'LL WORK WITH
As a Senior Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Use Maths, Stats and Machine learning to derive key insights across various industry sectors including Formula 1, Pharma, Travel, Financial Services, Automotive
Work alongside the Principal Data Scientist to develop world-class data science products for clients as well as for our data science team
Write code to advance our internal Data Science toolbox
Mentor Fellow Data Scientists and Data Scientists where required
Play an active role in leading team meetings and workshops with clients
Work on complex data sets from some of the world’s largest organisations
Work in a multi-disciplinary environment mixing highly skilled people in data science, data engineering and design
Perhaps most importantly, you will work in one of the largest and most talented data science teams in London
Build strong links with the academic world and constantly share ideas and stay ahead of the curve on the latest methods
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
MSc or PhD level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics
Experience in statistical modelling and machine learning techniques
Programming experience in at least two of the following languages: R, Python, Scala, SQL
Experience in applying data science methods to business problems
Experience in applying advanced analytical and statistical methods in the commercial world
Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields
WHO YOU'LL WORK WITH
As a Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work on complex and extremely varied data sets from some of the world’s largest organisations to solve real world problems
Develop data science products and solutions for clients as well as for our data science team
Write highly optimized code to advance our internal Data Science Toolbox
Work in a multi-disciplinary environment with specialists in machine learning, engineering and design
Add real-world impact to your academic expertise, as you are encouraged to write ‘black’ papers and present at meetings and conferences should you wish
Attend conferences such as NIPS and ICML as one global team as well as Data Science retrospectives where you will have the opportunity to share and learn from your co-workers.
Work within one of the largest and most advanced data science teams in London, support the Lead Data Scientists to develop data science products
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits
As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.
15/04/2019
Full time
MSc or PhD level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics
Experience in statistical modelling and machine learning techniques
Programming experience in at least two of the following languages: R, Python, Scala, SQL
Experience in applying data science methods to business problems
Experience in applying advanced analytical and statistical methods in the commercial world
Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields
WHO YOU'LL WORK WITH
As a Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
WHAT YOU'LL DO
You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work on complex and extremely varied data sets from some of the world’s largest organisations to solve real world problems
Develop data science products and solutions for clients as well as for our data science team
Write highly optimized code to advance our internal Data Science Toolbox
Work in a multi-disciplinary environment with specialists in machine learning, engineering and design
Add real-world impact to your academic expertise, as you are encouraged to write ‘black’ papers and present at meetings and conferences should you wish
Attend conferences such as NIPS and ICML as one global team as well as Data Science retrospectives where you will have the opportunity to share and learn from your co-workers.
Work within one of the largest and most advanced data science teams in London, support the Lead Data Scientists to develop data science products
What you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
Best practices in software development and productionise machine learning by working with our Machine Learning Engineering teams which optimise code for model development and scale it
Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualisations
Using new technologies and problem-solving skills in a multicultural and creative environment
You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.
Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimising a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture:
Healthcare Efficiency – We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches.
Environmental Impact – We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution.
Product Development – We worked with the CEO of an elite automotive organisation to reduce the 18-month car development timeframe by improving processes, designs and team structures.
Visit our Careers site to watch our video and read about our interview processes and benefits
As an equal opportunity employer, QuantumBlack encourages applications from all backgrounds regardless of gender, race, disability, pregnancy, marital status, age, sexual orientation, gender reassignment, religion or belief. We maintain a sense of community rooted in respect and consideration for all employees where any evaluation is based simply upon individual work and team performance.
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport.
Our team
As a part of our Modelling and Decision Sciences function, you will develop technologies to enhance McLaren's analytics capability and deliver solutions to complex industrial problems. You will support projects and concepts across our key Business Units including Health, Public Transport, Automotive, Motorsport and our Strategic Partnerships.
The Modelling and Decision Sciences has three core capabilities:
Modelling – to understand the behaviour of complex systems through dynamics or data driven modelling;
Optimization – to make recommendations about a system and its operation;
Control - enacting recommendations through either closed-loop control or human-in-the-loop decision making.
The role
We are looking for an experienced data scientist to lead our capability in statistical machine learning. Your technical expertise will help us design, develop, test, deploy and present analytical solutions to complex industrial problems. Specifically, you will tackle problems in which:
Modelling and quantification of uncertainty is important;
Machine learning is used to complement more traditional system modelling approaches (e.g. simulation)
You will also be collaborating with our software engineers to productise our solutions, and identifying opportunities to harvest capability into our core platforms. You will lead on improving quality and processes through team activities such as project estimation, code reviews and retrospectives.
Requirements
MSc in mathematics, computer science, statistics, operations research, or other relevant numerate discipline
Experience in solving complex problems using statistical machine learning techniques, such as Gaussian processes, Bayesian inference, or graphical models.
Experience developing algorithms and productionising solutions
Experience in developing and testing algorithms in Python or R.
Desirable
PhD in mathematics, computer science, statistics, operations research, or other relevant numerate discipline.
Experience with probabilistic programming packages.
Experience with scaling statistical machine learning approaches.
Experience in applying machine learning to healthcare applications.
Personal attributes
A problem solver, using innovative cutting-edge techniques who is passionate about technology
Someone who actively researches emerging industry trends and open-source technologies, and communicates them to the team.
An active mentor to junior members of the team.
The work environment
You will be based at our unique offices in the South Bank area of London. The building boasts spacious offices and meeting rooms, a gaming lounge and stunning views of London. It also hosts weekly events, classes, workshops and happy hours, encouraging the best and brightest to network and discuss the next big idea to hit the tech industry. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required.
McLaren’s Product Innovation Framework
Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies.
Recruitment process
If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters.
If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge. This will be completed in your own time.
If you are successful, you’ll then be invited for a phone interview with one of the hiring managers which will include technical questions relating to the job role.
The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.
15/04/2019
Full time
McLaren Applied Technologies is a high-performance technology company which combines fresh thinking and innovation to solve crucial challenges and improve people's lives in industries as diverse as health, public transport, automotive and motorsport.
Our team
As a part of our Modelling and Decision Sciences function, you will develop technologies to enhance McLaren's analytics capability and deliver solutions to complex industrial problems. You will support projects and concepts across our key Business Units including Health, Public Transport, Automotive, Motorsport and our Strategic Partnerships.
The Modelling and Decision Sciences has three core capabilities:
Modelling – to understand the behaviour of complex systems through dynamics or data driven modelling;
Optimization – to make recommendations about a system and its operation;
Control - enacting recommendations through either closed-loop control or human-in-the-loop decision making.
The role
We are looking for an experienced data scientist to lead our capability in statistical machine learning. Your technical expertise will help us design, develop, test, deploy and present analytical solutions to complex industrial problems. Specifically, you will tackle problems in which:
Modelling and quantification of uncertainty is important;
Machine learning is used to complement more traditional system modelling approaches (e.g. simulation)
You will also be collaborating with our software engineers to productise our solutions, and identifying opportunities to harvest capability into our core platforms. You will lead on improving quality and processes through team activities such as project estimation, code reviews and retrospectives.
Requirements
MSc in mathematics, computer science, statistics, operations research, or other relevant numerate discipline
Experience in solving complex problems using statistical machine learning techniques, such as Gaussian processes, Bayesian inference, or graphical models.
Experience developing algorithms and productionising solutions
Experience in developing and testing algorithms in Python or R.
Desirable
PhD in mathematics, computer science, statistics, operations research, or other relevant numerate discipline.
Experience with probabilistic programming packages.
Experience with scaling statistical machine learning approaches.
Experience in applying machine learning to healthcare applications.
Personal attributes
A problem solver, using innovative cutting-edge techniques who is passionate about technology
Someone who actively researches emerging industry trends and open-source technologies, and communicates them to the team.
An active mentor to junior members of the team.
The work environment
You will be based at our unique offices in the South Bank area of London. The building boasts spacious offices and meeting rooms, a gaming lounge and stunning views of London. It also hosts weekly events, classes, workshops and happy hours, encouraging the best and brightest to network and discuss the next big idea to hit the tech industry. Some travel to the McLaren Technology Centre (Woking, Surrey) will be required.
McLaren’s Product Innovation Framework
Take the unique opportunity to bring your own ideas to life, whether it’s a software package or a tangible product. If the application for your idea is successful, it will be backed by a significant pledge from the business to fund time and materials costs. Our ambition is that we continue to foster the spirit of innovation and entrepreneurship within Applied Technologies.
Recruitment process
If your application is successful, you will be invited for a phone interview with one of our experienced technical recruiters.
If our recruiter believes you're suitable for the role, you will then be asked to complete a technical challenge. This will be completed in your own time.
If you are successful, you’ll then be invited for a phone interview with one of the hiring managers which will include technical questions relating to the job role.
The final stage involves a face to face interview in London or at the McLaren Technology Centre, with the hiring manager and other members of the team.
This very well-known and successful service provider, whose ventures provide mass-market services also offers specialist enterprise services to their very many customers. They are searching for a Data Engineering Professional to provide quality, timely data feeds to support analytics, reporting and data science.
Role & Responsibilities
Ensure all data management jobs are operationally efficient.
Coach and mentor the team.
Deliver data solutions which deliver against customer briefs
Deliver agile data solutions for short term business requirements
Ensure the business has accurate and usable data collection across platforms.
Support change programmes
Apply the appropriate standards when delivering data ingestion.
Manage documentation of data assets and processes.
Support insightful analysis.
Experience & Skills Required
Be highly numerate with strong analytical skills.
Have expertise in data acquisition, modelling and ETL
End to end delivery management
Demonstrate strong analytical and critical thinking skills.
Have good commercial awareness.
Clearly communicate the latest data and reports to all levels of the organisation.
Proficient with SQL and data interrogation techniques.
Be an inspiring Communicator.
Hold a good understanding of big data technology such as AWS, Hadoop, Kafka, Spark.
Able to build, understand and define data logical data models.
Understand internal commercial insight and latest external thinking.
If you fit the above job description, please contact Teresa Cheeseman or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
15/04/2019
Full time
This very well-known and successful service provider, whose ventures provide mass-market services also offers specialist enterprise services to their very many customers. They are searching for a Data Engineering Professional to provide quality, timely data feeds to support analytics, reporting and data science.
Role & Responsibilities
Ensure all data management jobs are operationally efficient.
Coach and mentor the team.
Deliver data solutions which deliver against customer briefs
Deliver agile data solutions for short term business requirements
Ensure the business has accurate and usable data collection across platforms.
Support change programmes
Apply the appropriate standards when delivering data ingestion.
Manage documentation of data assets and processes.
Support insightful analysis.
Experience & Skills Required
Be highly numerate with strong analytical skills.
Have expertise in data acquisition, modelling and ETL
End to end delivery management
Demonstrate strong analytical and critical thinking skills.
Have good commercial awareness.
Clearly communicate the latest data and reports to all levels of the organisation.
Proficient with SQL and data interrogation techniques.
Be an inspiring Communicator.
Hold a good understanding of big data technology such as AWS, Hadoop, Kafka, Spark.
Able to build, understand and define data logical data models.
Understand internal commercial insight and latest external thinking.
If you fit the above job description, please contact Teresa Cheeseman or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Vertex Solutions are working with a banking client who's HQ is based in London. They are working on a key project as part of their digital part of their transformation. (Banking experience is not required but nice to have).
You'll work as part of a new squad, delivering one of the businesses most exciting confidential projects.
We're looking for capable individuals to help this transformation and see the project from the research stage to deployment.
Strong Python skills are the preference, familiar with packages such as: (Pandas, Scikit learn, NumPy, SciPy), SQL, Cloud exposure (Preferably AWS), or strong big data experience (Spark, Hive, Impala, Kafka)
This will be a long-term assignment for the right individual, minimum 6 months with a strong possibility of further extensions.
Flexible budget and quick onboarding process!
For further information and immediate consideration for interview, please don't hesitate to contact Lewis Forsyth on l.forsyth @ vertex-solutions.com.
Data Science | AI / Machine Learning / NLP | Python | SQL |Programming| Big Data | Analytics
15/04/2019
Full time
Vertex Solutions are working with a banking client who's HQ is based in London. They are working on a key project as part of their digital part of their transformation. (Banking experience is not required but nice to have).
You'll work as part of a new squad, delivering one of the businesses most exciting confidential projects.
We're looking for capable individuals to help this transformation and see the project from the research stage to deployment.
Strong Python skills are the preference, familiar with packages such as: (Pandas, Scikit learn, NumPy, SciPy), SQL, Cloud exposure (Preferably AWS), or strong big data experience (Spark, Hive, Impala, Kafka)
This will be a long-term assignment for the right individual, minimum 6 months with a strong possibility of further extensions.
Flexible budget and quick onboarding process!
For further information and immediate consideration for interview, please don't hesitate to contact Lewis Forsyth on l.forsyth @ vertex-solutions.com.
Data Science | AI / Machine Learning / NLP | Python | SQL |Programming| Big Data | Analytics
Here at ASOS, we want to give everyone the confidence to be their best self, because, when you’re at your best, you can achieve amazing things.
Our Technology team pioneer incredible solutions that change the way our millions of customers can access fashion. We believe that fashion can make you look, feel and be the best version of you and it’s this feeling of empowerment that we want our ASOSers to experience while working with us.
Our ASOSers reflect the diverse society they live in; we celebrate our differences and welcome people from all different walks of life. We’re looking for people who can live and breathe our values of being authentic, brave and creative and we don’t care about labels- we recognise there are endless ways to be ‘you’.
Sound like a place you’d love to be? Come and join us!
Want to be a part of the team responsible for making it effortless for our ASOS customers to choose the right sized product every time, that fits just as they like it, instilling confidence in their purchase?
Size and fit is the number one reason for returns for online retailers, and ASOS is no exception. For a company that works tirelessly to create a painless purchase journey, our customers still find it difficult to order the garment that fits. And with around 850 different fashion brands on site, and with customers from all over the world, it’s no wonder this area is such a minefield at ASOS.
We want to make it effortless for customers to choose the right clothing. As a Business Analyst in the Commerce Tech Size & Fit Team , you will be fundamental in helping make our customers sizing experience as friction-less as possible, and in turn, help lower our returns rate. You’ll be working extensively with, Software Engineers, Web Engineers and QA Engineers, Solution Architects, UI/UX designers and Data scientists to deliver leading edge tech and business solutions.
You’ll be making sure we build the best management tools for our Retail teams, as well as helping evolve AI solutions to give customers a targeted and personalised size and fit advice, on one of the largest ecommerce retail sites in the world.
You’ll also be part of our wider BA Community, led by our Principal BA. You’ll be invited to community events, knowledge shares and meet-ups, all to support your Business Analysis development journey, ensuring you can be the very best version of yourself at ASOS.
If you are a driven Business Analyst with a passion for tech solutions and innovative customer experiences, and you want to work in an amazing team with great potential for personal growth and progression, then we would really like to hear from you.
What you’ll be doing:
Discover, understand, and own functional and non-functional requirements for specific deliveries, whilst considering the wider business and technical context and impact
Help forumlate and validate requirements using a variety of qualitative and quantitive techniques: data analytics, customer feedback, prototypes, workshops and other research activities
Work with the Product Manager to develop, prioritise, articulate and maintaining the long-term roadmap
Alongside the Agile Delivery Manager, own the short-term backlog of epics, features and user stories for the delivery teams that you work with
Work in an Agile environment: lead refinement and planning sessions; actively participate in stand ups, reviews, retrospectives and product demonstrations
Review and provide feedback on user stories delivered, demonstrate product deliverables and share your team's success stories with the wider business
Work closely with Software Engineers, Quality Assurance Engineers and Solution Architects to ensure that solutions are continually aligned to requirements
Own and co-ordinate changes that are required across multiple technology teams
Manage stakeholder relationships and needs at various levels throughout the business
Work with the team to preserve and extend our fantastic and collaborative working environment
Deliver customer value quickly and iteratively, where you will either constantly apply any learnings or comfortably push back and challenge the status quo
We’d like to meet someone with…
Experience working as a Business Analyst across the full project delivery lifecycle (from initiation through to benefits realisation)
Experience working within lean and agile environments
Proven involvement with customer-facing projects
Experience working closely with multi-disciplinary development teams and UX designers
An ability to articulate or illustrate technical pieces of work and express the business value behind them
A drive to improve both business and technical processes
Enthusiasm to keep improving self and assist the wider team in continuous improvement
What's in it for you?
A truly unique and agile working environment where you’ll be surrounded by a diverse range of passionate experts, with two common interests: technology & innovation
Generous salary, bonus and pension matching
Life insurance, free private medical care, cycle to work scheme + more
A bespoke flexible benefits scheme catered to you
Best in class Learning & Development schemes and career development programmes
25 days holiday + never work on your birthday again!
Free modern onsite gym, plus personal training and wellness rooms
Tech Develops days– one day per month dedicated to developing yourself and developing others within Tech
Tech Presents days- breakfast mornings to collaborate and share your work with other teams
A dynamic social environment, from company-wide sports days, charity days, ‘Give A Week Away’ opportunities to visit our charity partners in India, company-wide celebrations across Christmas and Summer to name just a few
Huge staff discounts and sample sales
Plus much more…
Technology at ASOS
ASOS is one of the UK’s top fashion and beauty destinations, expanding globally at a rapid pace. Our values are to be authentic, brave and creative, and we live and breathe these in everything we do. We believe fashion can make you look, feel and be your best and, with technology in our DNA, we deliver the latest trends to our digital-obsessed 20-something market. Our award winning Tech teams sit at the heart of our business. We deliver technical innovation and pioneer incredible solutions, which are crucial to our continued success. We’re extremely ambitious and thrive on the individuality of our amazing employees. Our values encompass everything needed for our tech people to be the thought leaders of tomorrow.
10/04/2019
Full time
Here at ASOS, we want to give everyone the confidence to be their best self, because, when you’re at your best, you can achieve amazing things.
Our Technology team pioneer incredible solutions that change the way our millions of customers can access fashion. We believe that fashion can make you look, feel and be the best version of you and it’s this feeling of empowerment that we want our ASOSers to experience while working with us.
Our ASOSers reflect the diverse society they live in; we celebrate our differences and welcome people from all different walks of life. We’re looking for people who can live and breathe our values of being authentic, brave and creative and we don’t care about labels- we recognise there are endless ways to be ‘you’.
Sound like a place you’d love to be? Come and join us!
Want to be a part of the team responsible for making it effortless for our ASOS customers to choose the right sized product every time, that fits just as they like it, instilling confidence in their purchase?
Size and fit is the number one reason for returns for online retailers, and ASOS is no exception. For a company that works tirelessly to create a painless purchase journey, our customers still find it difficult to order the garment that fits. And with around 850 different fashion brands on site, and with customers from all over the world, it’s no wonder this area is such a minefield at ASOS.
We want to make it effortless for customers to choose the right clothing. As a Business Analyst in the Commerce Tech Size & Fit Team , you will be fundamental in helping make our customers sizing experience as friction-less as possible, and in turn, help lower our returns rate. You’ll be working extensively with, Software Engineers, Web Engineers and QA Engineers, Solution Architects, UI/UX designers and Data scientists to deliver leading edge tech and business solutions.
You’ll be making sure we build the best management tools for our Retail teams, as well as helping evolve AI solutions to give customers a targeted and personalised size and fit advice, on one of the largest ecommerce retail sites in the world.
You’ll also be part of our wider BA Community, led by our Principal BA. You’ll be invited to community events, knowledge shares and meet-ups, all to support your Business Analysis development journey, ensuring you can be the very best version of yourself at ASOS.
If you are a driven Business Analyst with a passion for tech solutions and innovative customer experiences, and you want to work in an amazing team with great potential for personal growth and progression, then we would really like to hear from you.
What you’ll be doing:
Discover, understand, and own functional and non-functional requirements for specific deliveries, whilst considering the wider business and technical context and impact
Help forumlate and validate requirements using a variety of qualitative and quantitive techniques: data analytics, customer feedback, prototypes, workshops and other research activities
Work with the Product Manager to develop, prioritise, articulate and maintaining the long-term roadmap
Alongside the Agile Delivery Manager, own the short-term backlog of epics, features and user stories for the delivery teams that you work with
Work in an Agile environment: lead refinement and planning sessions; actively participate in stand ups, reviews, retrospectives and product demonstrations
Review and provide feedback on user stories delivered, demonstrate product deliverables and share your team's success stories with the wider business
Work closely with Software Engineers, Quality Assurance Engineers and Solution Architects to ensure that solutions are continually aligned to requirements
Own and co-ordinate changes that are required across multiple technology teams
Manage stakeholder relationships and needs at various levels throughout the business
Work with the team to preserve and extend our fantastic and collaborative working environment
Deliver customer value quickly and iteratively, where you will either constantly apply any learnings or comfortably push back and challenge the status quo
We’d like to meet someone with…
Experience working as a Business Analyst across the full project delivery lifecycle (from initiation through to benefits realisation)
Experience working within lean and agile environments
Proven involvement with customer-facing projects
Experience working closely with multi-disciplinary development teams and UX designers
An ability to articulate or illustrate technical pieces of work and express the business value behind them
A drive to improve both business and technical processes
Enthusiasm to keep improving self and assist the wider team in continuous improvement
What's in it for you?
A truly unique and agile working environment where you’ll be surrounded by a diverse range of passionate experts, with two common interests: technology & innovation
Generous salary, bonus and pension matching
Life insurance, free private medical care, cycle to work scheme + more
A bespoke flexible benefits scheme catered to you
Best in class Learning & Development schemes and career development programmes
25 days holiday + never work on your birthday again!
Free modern onsite gym, plus personal training and wellness rooms
Tech Develops days– one day per month dedicated to developing yourself and developing others within Tech
Tech Presents days- breakfast mornings to collaborate and share your work with other teams
A dynamic social environment, from company-wide sports days, charity days, ‘Give A Week Away’ opportunities to visit our charity partners in India, company-wide celebrations across Christmas and Summer to name just a few
Huge staff discounts and sample sales
Plus much more…
Technology at ASOS
ASOS is one of the UK’s top fashion and beauty destinations, expanding globally at a rapid pace. Our values are to be authentic, brave and creative, and we live and breathe these in everything we do. We believe fashion can make you look, feel and be your best and, with technology in our DNA, we deliver the latest trends to our digital-obsessed 20-something market. Our award winning Tech teams sit at the heart of our business. We deliver technical innovation and pioneer incredible solutions, which are crucial to our continued success. We’re extremely ambitious and thrive on the individuality of our amazing employees. Our values encompass everything needed for our tech people to be the thought leaders of tomorrow.
