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!
DXC Technology (NYSE: DXC) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The company’s technology independence, global talent and extensive partner alliance combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. The Newcastle Digital Transformation Center (DTC) offers Agile Delivery to multiple Clients.
Would you describe yourself as a creative and ambitious engineer who is always ready to take on the next cutting-edge technology? If your answer is yes, you are going to fit right in with our team. We are looking for a passionate, motivated, innovative team player with a technical aptitude and thirst for learning and problem solving, who would like to be part of our vision in helping clients transform their business. Our technical roles offer you the chance to grow your skills and experience whilst working alongside some of the most talented people in DXC.
Our Client has been working with DXC on ways to advance and scale their analytics talent, innovation and compute globally. In addition, they have been exploring ways to leverage DXC experience, methods and management to improve and accelerate business outcomes.
DXC and our Client are trying to scale to meet unmet business and digital transformation demand from the clients operating units around the world. Therefore, they are looking for a partner and talent model framework which goes beyond and delivers more value. They want to innovate on digital solutions (develop/deploy/support) and strengthen their analytics foundational capabilities. They want our help to optimize utility costs for analytics workloads.
Responsibilities (project):
Conduct interviews and workshops with customer’s SMEs to define business use-cases for analytic engagements.
Turn business requirements into inquiries to be addressed by the data.
Perform detailed data assessment and resolve any data quality issues.
Select, clean, integrate, derive and format data to create analytic dataset ready for modelling.
Train, validate and test data mining models to select best ones.
Present the results in both textual and appealing visual form to key decision makers for review.
Responsibilities (general):
Apply proven methodologies for conducting analytic projects (CRISP-DM, Agile).
Keep up-to-date with the latest technology trends e.g. Big Data, cloud computing, etc.
Possess broad knowledge about statistics and machine learning algorithms.
Develop competency in other related fields e.g. computer science, data visualization, etc.
Build skillset of supporting techniques e.g. shell scripting, regular expressions, etc.
Share knowledge and provide mentoring to junior data scientists.
Essential Skills:
Ability to generate actionable insights from messy disconnected datasets, including datasets that may originate in many various forms (e.g., flat files, APIs, database access)
Ability to clearly communicate with business units and delivery groups to understand the nature of their business challenges, factors specific to that operation
Ability to quickly generate simple yet power data visualizations to communicate insights
Ability to work closely with others in a fast-paced and collaborative technical setting
Ability to rapidly learn and develop new skills, largely on one’s own by staying in tune with the market and emerging technologies and techniques
Strong math and statistical skills and an ability to apply those skills towards generating logical, accurate and meaningful insights from data
An ability to quickly learn the essentials of a new operational team (e.g., a specific account within DXC’s delivery organization) and understand the nuances of tools, processes, data and business requirements that impact actions required to add value for the client and DXC
Tools / Platform / Coding Languages that will be used on this project
Platforms: Hadoop, Azure Analytics, Cloudera
Data Extraction: Hadoop ecosystem, Azure Data Factory, Databricks
Data Visualisation & Analytics: Spotfire, PowerBI
Coding language – Java, Python
Tools - standard JIRA, Jenkins
DXC Technology is committed to the development of a fully inclusive workforce. All applications for employment are assessed purely on merit, against the capabilities and competencies required for the role.
DXC Technology does not discriminate on the basis of gender, ethnic origin, race, faith or sexual orientation.
22/04/2019
Full time
DXC Technology (NYSE: DXC) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The company’s technology independence, global talent and extensive partner alliance combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. The Newcastle Digital Transformation Center (DTC) offers Agile Delivery to multiple Clients.
Would you describe yourself as a creative and ambitious engineer who is always ready to take on the next cutting-edge technology? If your answer is yes, you are going to fit right in with our team. We are looking for a passionate, motivated, innovative team player with a technical aptitude and thirst for learning and problem solving, who would like to be part of our vision in helping clients transform their business. Our technical roles offer you the chance to grow your skills and experience whilst working alongside some of the most talented people in DXC.
Our Client has been working with DXC on ways to advance and scale their analytics talent, innovation and compute globally. In addition, they have been exploring ways to leverage DXC experience, methods and management to improve and accelerate business outcomes.
DXC and our Client are trying to scale to meet unmet business and digital transformation demand from the clients operating units around the world. Therefore, they are looking for a partner and talent model framework which goes beyond and delivers more value. They want to innovate on digital solutions (develop/deploy/support) and strengthen their analytics foundational capabilities. They want our help to optimize utility costs for analytics workloads.
Responsibilities (project):
Conduct interviews and workshops with customer’s SMEs to define business use-cases for analytic engagements.
Turn business requirements into inquiries to be addressed by the data.
Perform detailed data assessment and resolve any data quality issues.
Select, clean, integrate, derive and format data to create analytic dataset ready for modelling.
Train, validate and test data mining models to select best ones.
Present the results in both textual and appealing visual form to key decision makers for review.
Responsibilities (general):
Apply proven methodologies for conducting analytic projects (CRISP-DM, Agile).
Keep up-to-date with the latest technology trends e.g. Big Data, cloud computing, etc.
Possess broad knowledge about statistics and machine learning algorithms.
Develop competency in other related fields e.g. computer science, data visualization, etc.
Build skillset of supporting techniques e.g. shell scripting, regular expressions, etc.
Share knowledge and provide mentoring to junior data scientists.
Essential Skills:
Ability to generate actionable insights from messy disconnected datasets, including datasets that may originate in many various forms (e.g., flat files, APIs, database access)
Ability to clearly communicate with business units and delivery groups to understand the nature of their business challenges, factors specific to that operation
Ability to quickly generate simple yet power data visualizations to communicate insights
Ability to work closely with others in a fast-paced and collaborative technical setting
Ability to rapidly learn and develop new skills, largely on one’s own by staying in tune with the market and emerging technologies and techniques
Strong math and statistical skills and an ability to apply those skills towards generating logical, accurate and meaningful insights from data
An ability to quickly learn the essentials of a new operational team (e.g., a specific account within DXC’s delivery organization) and understand the nuances of tools, processes, data and business requirements that impact actions required to add value for the client and DXC
Tools / Platform / Coding Languages that will be used on this project
Platforms: Hadoop, Azure Analytics, Cloudera
Data Extraction: Hadoop ecosystem, Azure Data Factory, Databricks
Data Visualisation & Analytics: Spotfire, PowerBI
Coding language – Java, Python
Tools - standard JIRA, Jenkins
DXC Technology is committed to the development of a fully inclusive workforce. All applications for employment are assessed purely on merit, against the capabilities and competencies required for the role.
DXC Technology does not discriminate on the basis of gender, ethnic origin, race, faith or sexual orientation.
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
Springer Nature is one of the world’s leading global research, educational and professional publishers. It is home to an array of respected and trusted brands and imprints, with more than 170 years of combined history behind them, providing quality content through a range of innovative products and services. Every day, around the globe, our imprints, books, journals and resources reach millions of people, helping researchers and scientists to discover, students to learn and professionals to achieve their goals and ambitions. The company has almost 13,000 staff in over 50 countries.
Data Scientist
Permanent contract
Springer Nature is seeking a highly motivated Data Scientist for the newly created “analytics centre of excellence” serving the Research division that includes Nature, Springer, BioMed Central and Scientific American.
As a Data Scientist, you’ll be analysing big data from very highly trafficed websites and content. You will provide actionable analysis and insight into the behaviour of researchers in both their roles as authors and users of scientific information as well as general trends in the world of research. Driving change that improves their experience with Spinger Nature and supports our purpose to advance discovery.
Role Responsibilities will include:
Gathering, analysing and blending data to produce business and customer insights, and give recommendations on how to further improve Springer Nature’s products, services and platforms
Build strong and proactive relationships with relevant business stakeholders and senior management, providing insights and analytics to support in achieving the strategic goals of the business
Increase the adoption of data science, standardise analytics tools across the organization, improve data management and reporting, and make data led insight accessible to the business
Being an advocate for a data-driven culture, share thought leadership on tools and best practices
Introducing compelling data visualizations and interactive dashboards that allow right decision-making in a timely manner
Leading the journey towards more advanced and predictive analytics using statistical modelling, machine learning and AI
Role Requirements:
University degree with a strong analytical/quantitative background or equivalent experience (e.g. Data Science,Statistics, Mathematics, Econometrics, Physics, Computer Science etc.)
Demonstrable experience in cleansing and combining data using software and tools like SQL, Big Query, Python/R,Tableau
Statistical and machine learning skills
Excellent communication skills with the ability to tell compelling stories from the data
Experience in identifying patterns and connecting different pieces of information to deliver unobvious insights, drawing information from diverse and varied sources
Excellent analytical problem solving capabilities
Well organized and accurate with good time management
Good networker, able to build up effective relations with internal business partners
To apply please upload a copy of your CV and covering letter, stating your salary expectations.
At Springer Nature we value and celebrate the diversity of our people. We recognise the many benefits of a diverse workforce and strive for an inclusive workplace that empowers all our colleagues to thrive. Our search for the best talent fully encompasses and embraces these values and principles.
05/04/2019
Full time
Springer Nature is one of the world’s leading global research, educational and professional publishers. It is home to an array of respected and trusted brands and imprints, with more than 170 years of combined history behind them, providing quality content through a range of innovative products and services. Every day, around the globe, our imprints, books, journals and resources reach millions of people, helping researchers and scientists to discover, students to learn and professionals to achieve their goals and ambitions. The company has almost 13,000 staff in over 50 countries.
Data Scientist
Permanent contract
Springer Nature is seeking a highly motivated Data Scientist for the newly created “analytics centre of excellence” serving the Research division that includes Nature, Springer, BioMed Central and Scientific American.
As a Data Scientist, you’ll be analysing big data from very highly trafficed websites and content. You will provide actionable analysis and insight into the behaviour of researchers in both their roles as authors and users of scientific information as well as general trends in the world of research. Driving change that improves their experience with Spinger Nature and supports our purpose to advance discovery.
Role Responsibilities will include:
Gathering, analysing and blending data to produce business and customer insights, and give recommendations on how to further improve Springer Nature’s products, services and platforms
Build strong and proactive relationships with relevant business stakeholders and senior management, providing insights and analytics to support in achieving the strategic goals of the business
Increase the adoption of data science, standardise analytics tools across the organization, improve data management and reporting, and make data led insight accessible to the business
Being an advocate for a data-driven culture, share thought leadership on tools and best practices
Introducing compelling data visualizations and interactive dashboards that allow right decision-making in a timely manner
Leading the journey towards more advanced and predictive analytics using statistical modelling, machine learning and AI
Role Requirements:
University degree with a strong analytical/quantitative background or equivalent experience (e.g. Data Science,Statistics, Mathematics, Econometrics, Physics, Computer Science etc.)
Demonstrable experience in cleansing and combining data using software and tools like SQL, Big Query, Python/R,Tableau
Statistical and machine learning skills
Excellent communication skills with the ability to tell compelling stories from the data
Experience in identifying patterns and connecting different pieces of information to deliver unobvious insights, drawing information from diverse and varied sources
Excellent analytical problem solving capabilities
Well organized and accurate with good time management
Good networker, able to build up effective relations with internal business partners
To apply please upload a copy of your CV and covering letter, stating your salary expectations.
At Springer Nature we value and celebrate the diversity of our people. We recognise the many benefits of a diverse workforce and strive for an inclusive workplace that empowers all our colleagues to thrive. Our search for the best talent fully encompasses and embraces these values and principles.
At Signifyd we’re creating a new market. We’re constantly improving and expanding the technology that has changed what fraud protection for e-commerce looks like. So we don’t have time for office politics. We understand that different people have different work styles and we thrive on variety while learning from each other. We’re all Signifyers, so we know that what needs to get done will get done.
Signifyd is a place where no one is going to tell you how to do your job. If you want help, you'll get it — from all quarters. But we pretty much figure out what needs to be done, who's in the best position to do it and then let that person roll-up her or his sleeves and have at it. We're protecting retailers from online fraud in a way that's never been done before and we could use your help if you're someone:
Who believes challenges are best overcome by thinking differently.
Who knows his or her role, but isn’t confined by it.
Who’s greatest satisfaction comes from helping customers succeed and achieve their dreams.
Who isn’t afraid to disagree, convincingly, civilly and honestly.
Our Belfast R&D Hub
Our Belfast office opened in early 2019 and is the hub for Signifyd’s accelerated international expansion. Belfast will quickly grow from a development center to an office that houses the full range of roles needed to build e-commerce success for our European customers. Our Belfast team is as diverse as our customers; we’re a fantastic bunch of talented people working across multiple disciplines. We’re passionate about creating and delivering innovative solutions for our customers and solving problems together; all while having fun at the same time. If you share our values, we think you’ll fit in nicely!
About our graduate opportunity
Your work will impact millions of our customers. We are looking for passionate graduates to join our stellar Data Science team in Belfast.
You will have the opportunity to apply your academic knowledge of machine learning, statistics and your analytical skills to develop models detecting fraud patterns. You will ideate, test and deploy advanced predictive signals to improve fraud detection performance. You will collaborate with other data scientists and engineers to build data pipelines, do feature prototyping, and implement analytical algorithms to test the model performance.
Our graduates will get industry leading guidance and support to learn our models and grow into fully productive members of our team; no bench sitting! If you want help, you'll get it - from all quarters, but we’ll encourage you to figure out what needs to be done, identify who is in the best position to make it happen, and if that’s you, roll up your sleeves and have at it!
What you'll do:
Processing and analyzing data collected with research prototypes
Ideation, prototyping, measuring predictive features by transforming data into actionable solutions
Writing algorithms to boost or validate a model performance
Deliver analytics content to help make key business decisions
Writing or modifying data pipelines to process and mine historical data
Who you are:
You are working towards a MS /PhD in CS ,Data Science, or ML related field
You are a Programmer - Python, Java or C
You will be able to effortlessly apply the expertise gained throughout their academics to tackle real time challenges, and will have the hunger to work with large, complex data sets.
You are focused on results, a self-starter, driven with a hunger to solve complex problems using data and cutting edge ML algorithms.
You are willing to ask for help if you need it
You are open to learning from others and always curious to know more
What support can you expect:
We’ll provide you with a solid investment in your individual growth and development including an individual development plan, mentoring from industry professionals, a spot on small peer-led teams to provide great opportunities to learn; as well as the chance to drive your own professional development and career direction through regular discussions with your team manager.
What you will get in return:
In return, as part of your contribution to our success and to the success of our customers, you’ll receive a benefits package that is one of the most competitive in Belfast;
An competitive base salary (with plenty of room for growth)
An equally competitive equity package
A performance related bonus, paid twice yearly (on target 10% of your annual salary)
An attractive pension matched up to 8% (you choose how much you want to pay in)
‘Day one’ access to a great health, dental and optical insurance scheme
25 days of annual leave (in addition to 10 public holidays)
Flexibility
Great family friendly benefits (12 weeks of full-pay parental leave for mums and dads)
A free lunch every day you’re in the office
Free snacks and drinks
Subsidised public transport and car parking
A LinkedIn Learning account
Have a great setup and working environment to help you do your job
AND be able to take part in (or drive) our social/community events
05/04/2019
Full time
At Signifyd we’re creating a new market. We’re constantly improving and expanding the technology that has changed what fraud protection for e-commerce looks like. So we don’t have time for office politics. We understand that different people have different work styles and we thrive on variety while learning from each other. We’re all Signifyers, so we know that what needs to get done will get done.
Signifyd is a place where no one is going to tell you how to do your job. If you want help, you'll get it — from all quarters. But we pretty much figure out what needs to be done, who's in the best position to do it and then let that person roll-up her or his sleeves and have at it. We're protecting retailers from online fraud in a way that's never been done before and we could use your help if you're someone:
Who believes challenges are best overcome by thinking differently.
Who knows his or her role, but isn’t confined by it.
Who’s greatest satisfaction comes from helping customers succeed and achieve their dreams.
Who isn’t afraid to disagree, convincingly, civilly and honestly.
Our Belfast R&D Hub
Our Belfast office opened in early 2019 and is the hub for Signifyd’s accelerated international expansion. Belfast will quickly grow from a development center to an office that houses the full range of roles needed to build e-commerce success for our European customers. Our Belfast team is as diverse as our customers; we’re a fantastic bunch of talented people working across multiple disciplines. We’re passionate about creating and delivering innovative solutions for our customers and solving problems together; all while having fun at the same time. If you share our values, we think you’ll fit in nicely!
About our graduate opportunity
Your work will impact millions of our customers. We are looking for passionate graduates to join our stellar Data Science team in Belfast.
You will have the opportunity to apply your academic knowledge of machine learning, statistics and your analytical skills to develop models detecting fraud patterns. You will ideate, test and deploy advanced predictive signals to improve fraud detection performance. You will collaborate with other data scientists and engineers to build data pipelines, do feature prototyping, and implement analytical algorithms to test the model performance.
Our graduates will get industry leading guidance and support to learn our models and grow into fully productive members of our team; no bench sitting! If you want help, you'll get it - from all quarters, but we’ll encourage you to figure out what needs to be done, identify who is in the best position to make it happen, and if that’s you, roll up your sleeves and have at it!
What you'll do:
Processing and analyzing data collected with research prototypes
Ideation, prototyping, measuring predictive features by transforming data into actionable solutions
Writing algorithms to boost or validate a model performance
Deliver analytics content to help make key business decisions
Writing or modifying data pipelines to process and mine historical data
Who you are:
You are working towards a MS /PhD in CS ,Data Science, or ML related field
You are a Programmer - Python, Java or C
You will be able to effortlessly apply the expertise gained throughout their academics to tackle real time challenges, and will have the hunger to work with large, complex data sets.
You are focused on results, a self-starter, driven with a hunger to solve complex problems using data and cutting edge ML algorithms.
You are willing to ask for help if you need it
You are open to learning from others and always curious to know more
What support can you expect:
We’ll provide you with a solid investment in your individual growth and development including an individual development plan, mentoring from industry professionals, a spot on small peer-led teams to provide great opportunities to learn; as well as the chance to drive your own professional development and career direction through regular discussions with your team manager.
What you will get in return:
In return, as part of your contribution to our success and to the success of our customers, you’ll receive a benefits package that is one of the most competitive in Belfast;
An competitive base salary (with plenty of room for growth)
An equally competitive equity package
A performance related bonus, paid twice yearly (on target 10% of your annual salary)
An attractive pension matched up to 8% (you choose how much you want to pay in)
‘Day one’ access to a great health, dental and optical insurance scheme
25 days of annual leave (in addition to 10 public holidays)
Flexibility
Great family friendly benefits (12 weeks of full-pay parental leave for mums and dads)
A free lunch every day you’re in the office
Free snacks and drinks
Subsidised public transport and car parking
A LinkedIn Learning account
Have a great setup and working environment to help you do your job
AND be able to take part in (or drive) our social/community events
This senior role has arisen working for a true giant with a huge work-force and a formidable customer base. Their brilliant brands are all beautiful, individual and each has unique attributes that cater to very different segments of the market. There’s never been a more exciting time to join this well established, forward thinking and progressive company were no two days are the same.
Role & Responsibilities
Be accountable for using methodical Data science techniques to measure performance and influence change.
You will mine and analyse big data sets using data science techniques,
Deliver appropriate outcomes for the business, whether analysis, modelling and/or recommendations
Manage, coach a team of data science professionals
Manage stakeholder relationships
Coach, lead, mentor and inspire you team
Experience & Skills Required
Manage the team backlog and prioritise the workload.
Tell engaging stories using non-technical language
Demonstrate a high degree of expertise in data science technologies.
Advanced comms skills, being able to translate complex analysis into the language of business.
Have a clear understanding of the benefits of leveraging AI for business benefit
The business. You’ll also as well as managing the backlog of work and prioritise resource accordingly and keep your stakeholders engaged and informed.
Execute experiments to quantify the performance of algorithms in both digital and physical domains
Work with multiple stakeholders to understand the business problem and translate into deliverables.
If you fit the above job description, please contact Roisin McCarthy on 01256 314 660 or email her on rmccarthy@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.
04/04/2019
Full time
This senior role has arisen working for a true giant with a huge work-force and a formidable customer base. Their brilliant brands are all beautiful, individual and each has unique attributes that cater to very different segments of the market. There’s never been a more exciting time to join this well established, forward thinking and progressive company were no two days are the same.
Role & Responsibilities
Be accountable for using methodical Data science techniques to measure performance and influence change.
You will mine and analyse big data sets using data science techniques,
Deliver appropriate outcomes for the business, whether analysis, modelling and/or recommendations
Manage, coach a team of data science professionals
Manage stakeholder relationships
Coach, lead, mentor and inspire you team
Experience & Skills Required
Manage the team backlog and prioritise the workload.
Tell engaging stories using non-technical language
Demonstrate a high degree of expertise in data science technologies.
Advanced comms skills, being able to translate complex analysis into the language of business.
Have a clear understanding of the benefits of leveraging AI for business benefit
The business. You’ll also as well as managing the backlog of work and prioritise resource accordingly and keep your stakeholders engaged and informed.
Execute experiments to quantify the performance of algorithms in both digital and physical domains
Work with multiple stakeholders to understand the business problem and translate into deliverables.
If you fit the above job description, please contact Roisin McCarthy on 01256 314 660 or email her on rmccarthy@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.
This is a giant in the service industry incorporating research and a desire to be simply brilliant for their customers. Over the many years they have been in business, they have established a strong, successful brand with huge scale, capable of achieving great things. If you have the drive, optimism and resilience to help propel the business forward please be the first to let Roisin have your CV
Role & Responsibilities
Use methodical Data science techniques to select and tune algorithms
Execute experiments to quantify the performance of algorithms.
Work with multiple stakeholders to understand the business problem.
Work across a range of projects
Mine and analyse big data sets
Leverage data science skills and techniques to deliver business benefit.
Undertake machine learning, data mining and algorithm development to seek out new insight
Work with descriptive and predictive analytics.
Drive efficient ways of working and operating model.
Experience & Skills Required
Educated to degree level in a numerate subject
High degree of expertise in data science technologies and ways of working
Identify patterns and trends to use with the right statistical methods
You will feel confident extracting and manipulating data
Undertake predictive analytics and targeting across inbound and outbound contact strategies
Clearly communicate latest data and reports to all levels of the organisation.
Be able to translate complex analysis into the language of business.
Have experience of using machine learning frameworks.
Demonstrate a background in analytics and statistics.
Experience of predictive models alongside strong Python and/or R, SQL skills
If you fit the above job description, please contact Roisin McCarthy on 01256 314 660 or email her on rmccarthy@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.
04/04/2019
Full time
This is a giant in the service industry incorporating research and a desire to be simply brilliant for their customers. Over the many years they have been in business, they have established a strong, successful brand with huge scale, capable of achieving great things. If you have the drive, optimism and resilience to help propel the business forward please be the first to let Roisin have your CV
Role & Responsibilities
Use methodical Data science techniques to select and tune algorithms
Execute experiments to quantify the performance of algorithms.
Work with multiple stakeholders to understand the business problem.
Work across a range of projects
Mine and analyse big data sets
Leverage data science skills and techniques to deliver business benefit.
Undertake machine learning, data mining and algorithm development to seek out new insight
Work with descriptive and predictive analytics.
Drive efficient ways of working and operating model.
Experience & Skills Required
Educated to degree level in a numerate subject
High degree of expertise in data science technologies and ways of working
Identify patterns and trends to use with the right statistical methods
You will feel confident extracting and manipulating data
Undertake predictive analytics and targeting across inbound and outbound contact strategies
Clearly communicate latest data and reports to all levels of the organisation.
Be able to translate complex analysis into the language of business.
Have experience of using machine learning frameworks.
Demonstrate a background in analytics and statistics.
Experience of predictive models alongside strong Python and/or R, SQL skills
If you fit the above job description, please contact Roisin McCarthy on 01256 314 660 or email her on rmccarthy@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.
Ocado is the world’s leading innovator in online grocery shopping, with a pioneering business model. We are developing our own cutting-edge technology, including robotics, Artificial Intelligence and Machine Learning, enabling new customer propositions, and engaging in new business partnerships. This is an exceptional opportunity to join an exciting company and a team of dynamic and intellectually curious people with extraordinary drive and passion.
The Team
We are a team of analysts that specialise in extracting and interpreting data to identify efficiency opportunities with a multi-million pound scope, directly impacting thousands of colleagues and hundreds of thousands of customers. We pride ourselves on making quick affirmative decisions and data is the driver to make this happen. We have billions of data points at our disposal, mapping the customer journey from the time they log on to the website to their orders arriving at the door.
From picking orders in our automated warehouses, to our transport operations on the road, we look to maximise profitability whilst improving our customer offering. This can range from the short-term configuration of planning processes to long-term logistical strategy, shaping the future growth of Ocado.
The Role .
From day one, you will be using state-of-the-art tools to interrogate Big Data, analysing the results to develop and improve tools and algorithms, delivering recommendations to senior management and driving operational decisions. Your insight will have a direct impact on our operational efficiency, will enhance both customer and workforce experience, and contribute to Ocado’s long term goal of changing the way the world shops.
The role is based in our new head office in Hatfield, Hertfordshire, just 20 minutes by train from London Kings Cross.
Skills & Experience
Accomplished analyst with experience working with Big Data
Exceptional quantitative & qualitative problem solving skills
Strong command of analytical SQL and/or Excel, VBA, or similar to these (e.g. SAP, SPSS, SAS, programming experience)
Comfortable communicating with senior management and key stakeholders, both within the business and externally
Desirables
Applied knowledge of Google BigQuery
Skilled at using Visualisation software (Tableau, Qlik, Google Data Studio)
Experience in a fast-moving commercial environment
What can we give you?
Stretching work that will push you to bring out the best in you - and do that consistently.
Rewards are many - competitive salary, Ocado employee benefits package; swift and self-driven personal development and career progression opportunities; and most importantly - satisfaction from results of your work making a difference right in front of your eyes.A position in a young and dynamic FTSE 100 company which maintains an ethos of communication and accountability more typically associated with a small business
Benefits
Pension
Life Assurance
Private Medical Insurance
Employee Assistance Programme
Income Protection
23 days holiday, increasing to 25 with 3 years’ service
15% Ocado discount
Equal Opportunity Employer
Ocado is an equal opportunities employer and as such makes every effort to ensure that all potential employers are treated fairly and equally, regardless of their sex, sexual orientation, marital status, race, colour, nationality, ethnic or national origin, religion, age, disability or union membership status.
Please note that due to the high volume of applications we will be in contact with shortlisted candidates only. If you have not heard from us within 4 weeks, please assume your application has been unsuccessful on this occasion.
Due to the fast-paced nature of Ocado's business our vacancy close dates may be subject to change.
03/04/2019
Full time
Ocado is the world’s leading innovator in online grocery shopping, with a pioneering business model. We are developing our own cutting-edge technology, including robotics, Artificial Intelligence and Machine Learning, enabling new customer propositions, and engaging in new business partnerships. This is an exceptional opportunity to join an exciting company and a team of dynamic and intellectually curious people with extraordinary drive and passion.
The Team
We are a team of analysts that specialise in extracting and interpreting data to identify efficiency opportunities with a multi-million pound scope, directly impacting thousands of colleagues and hundreds of thousands of customers. We pride ourselves on making quick affirmative decisions and data is the driver to make this happen. We have billions of data points at our disposal, mapping the customer journey from the time they log on to the website to their orders arriving at the door.
From picking orders in our automated warehouses, to our transport operations on the road, we look to maximise profitability whilst improving our customer offering. This can range from the short-term configuration of planning processes to long-term logistical strategy, shaping the future growth of Ocado.
The Role .
From day one, you will be using state-of-the-art tools to interrogate Big Data, analysing the results to develop and improve tools and algorithms, delivering recommendations to senior management and driving operational decisions. Your insight will have a direct impact on our operational efficiency, will enhance both customer and workforce experience, and contribute to Ocado’s long term goal of changing the way the world shops.
The role is based in our new head office in Hatfield, Hertfordshire, just 20 minutes by train from London Kings Cross.
Skills & Experience
Accomplished analyst with experience working with Big Data
Exceptional quantitative & qualitative problem solving skills
Strong command of analytical SQL and/or Excel, VBA, or similar to these (e.g. SAP, SPSS, SAS, programming experience)
Comfortable communicating with senior management and key stakeholders, both within the business and externally
Desirables
Applied knowledge of Google BigQuery
Skilled at using Visualisation software (Tableau, Qlik, Google Data Studio)
Experience in a fast-moving commercial environment
What can we give you?
Stretching work that will push you to bring out the best in you - and do that consistently.
Rewards are many - competitive salary, Ocado employee benefits package; swift and self-driven personal development and career progression opportunities; and most importantly - satisfaction from results of your work making a difference right in front of your eyes.A position in a young and dynamic FTSE 100 company which maintains an ethos of communication and accountability more typically associated with a small business
Benefits
Pension
Life Assurance
Private Medical Insurance
Employee Assistance Programme
Income Protection
23 days holiday, increasing to 25 with 3 years’ service
15% Ocado discount
Equal Opportunity Employer
Ocado is an equal opportunities employer and as such makes every effort to ensure that all potential employers are treated fairly and equally, regardless of their sex, sexual orientation, marital status, race, colour, nationality, ethnic or national origin, religion, age, disability or union membership status.
Please note that due to the high volume of applications we will be in contact with shortlisted candidates only. If you have not heard from us within 4 weeks, please assume your application has been unsuccessful on this occasion.
Due to the fast-paced nature of Ocado's business our vacancy close dates may be subject to change.
Working in a cross-functional team you will be responsible for creating and maintaining data and reports on Ocado’s cutting-edge storage and picking systems, including our robotic swarm system. The Ocado environment is Agile and fast-paced and you will see your work being used to investigate complex issues, commission new systems and enhance performance.
What we'd like you to do
Create and maintain derived data (e.g. aggregations or transforming event streams into object state)
Publish and maintain reports and visualisations (using Tableau and other tools) to provide insight into system behaviour and performance
Carry out statistical analysis and develop machine learning solutions
Assist Data Scientists with productionizing machine learning models
Liaise with developers and other analysts to ensure data is sourced and used appropriately
Interact with other developers, product owners, analysts and data scientists
Deal with enquiries about reports, data and processes
Carry out ad-hoc analysis
Keep up to date with trends and best practice
Experience we'd like to see
2:1 or higher degree in Computer Science, Maths, Physics, Engineering or similar highly numerate subject
Experience in a similar role of handling, analysing and reporting on large-scale production datasets
Highly advanced SQL skills and an understanding of RDBMS and NoSQL data stores
Passion for creating clear, accurate reports using BI tools like Tableau, Crystal Reports or Jasper
Confidence and presentation skills to explain data and analysis to a wide range of stakeholders
Ability to apply and reason with basic statistics
Flexible in approach with the ability to learn fast
Bonus points for...
Programming experience, preferably in Python, Java or Scala
Experience using BigQuery or other Google Cloud Platform components
What we can offer you
Within our flexible work environment we can offer technically stretching work, a competitive salary and share schemes. Benefits include a generous pension scheme, interest-free season ticket loan, free shuttle bus from Hatfield train station and, of course, healthy Ocado staff discounts (and free delivery) across our Webshops including Groceries , Fetch , Sizzle and Fabled .
We also have monthly technology division socials, sports clubs such as badminton, running and table tennis (and much more), not to mention the Ocado Technology Academy for a packed schedule of courses, conferences and events such as discussion sessions, conference briefs and external guest speakers.
Click to find out more about working at Ocado Technology .
Please note that due to the high volume of applications we will be in contact with shortlisted candidates only. If you have not heard from us within 4 weeks, please assume your application has been unsuccessful on this occasion.
Due to the energising nature of Ocado's business, our vacancy close dates may be subject to change. Ocado is an equal opportunity employer.
03/04/2019
Full time
Working in a cross-functional team you will be responsible for creating and maintaining data and reports on Ocado’s cutting-edge storage and picking systems, including our robotic swarm system. The Ocado environment is Agile and fast-paced and you will see your work being used to investigate complex issues, commission new systems and enhance performance.
What we'd like you to do
Create and maintain derived data (e.g. aggregations or transforming event streams into object state)
Publish and maintain reports and visualisations (using Tableau and other tools) to provide insight into system behaviour and performance
Carry out statistical analysis and develop machine learning solutions
Assist Data Scientists with productionizing machine learning models
Liaise with developers and other analysts to ensure data is sourced and used appropriately
Interact with other developers, product owners, analysts and data scientists
Deal with enquiries about reports, data and processes
Carry out ad-hoc analysis
Keep up to date with trends and best practice
Experience we'd like to see
2:1 or higher degree in Computer Science, Maths, Physics, Engineering or similar highly numerate subject
Experience in a similar role of handling, analysing and reporting on large-scale production datasets
Highly advanced SQL skills and an understanding of RDBMS and NoSQL data stores
Passion for creating clear, accurate reports using BI tools like Tableau, Crystal Reports or Jasper
Confidence and presentation skills to explain data and analysis to a wide range of stakeholders
Ability to apply and reason with basic statistics
Flexible in approach with the ability to learn fast
Bonus points for...
Programming experience, preferably in Python, Java or Scala
Experience using BigQuery or other Google Cloud Platform components
What we can offer you
Within our flexible work environment we can offer technically stretching work, a competitive salary and share schemes. Benefits include a generous pension scheme, interest-free season ticket loan, free shuttle bus from Hatfield train station and, of course, healthy Ocado staff discounts (and free delivery) across our Webshops including Groceries , Fetch , Sizzle and Fabled .
We also have monthly technology division socials, sports clubs such as badminton, running and table tennis (and much more), not to mention the Ocado Technology Academy for a packed schedule of courses, conferences and events such as discussion sessions, conference briefs and external guest speakers.
Click to find out more about working at Ocado Technology .
Please note that due to the high volume of applications we will be in contact with shortlisted candidates only. If you have not heard from us within 4 weeks, please assume your application has been unsuccessful on this occasion.
Due to the energising nature of Ocado's business, our vacancy close dates may be subject to change. Ocado is an equal opportunity employer.
Join us on our exciting journey! IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.
Job Description
E360™: A revolutionary, scalable and extensible web-based platform for delivering Real-World Insights, that features the world’s largest unparalleled health data collection. To find out more about E360™, please watch the YouTube video here: http://bit.ly/2w2wlfh
In a rapidly growing IT team of 90, you as a Data Scientist will be playing a vital part in an agile Data Science team. The Data Science team consists of 8 people, where you will be involved in creating E360’s core health analytics software, further enhancing life sciences and healthcare research .
What to expect
Development of data science methods within a best practice software engineering framework using Python
Working alongside other team members such as Product Owners and Software QA to write robust and scientifically credible data science routines
Participating in Agile practices such as daily stands ups, sprint planning, sprint refinements, and retrospectives
Working to fortnightly sprints and taking part in bi-weekly demos
Very friendly and informal working environment
Regular Innovation weeks – Where the data science and development teams are given the chance to work on their own projects and showcase their work at the end of the week
Our ideal candidate will have;
At least an MSc or PhD in Statistics, Data Science, Mathematics etc
Experience in a commercial data science environment
Experience of writing production quality code (not necessarily in a data science context)
Understanding of full stack web development, ideally with some hands on experience
Proven experience in a data science programming language (Python, R, SAS, Stata etc)
Experience building statistical and machine learning models (linear regression, generalised linear models, random forest, k-nearest neighbours, support vector machines, etc)
Experience manipulating small-medium sized datasets for analysis
Bonus points for;
Experience working in an agile development structure
Experience analysing datasets in Python
Experience of working with healthcare data
Experience working with software development tools such (Git, JIRA etc)
The Team
The RWAS Technology & Data Science mission is to deliver world-class and globally scalable technology platforms and analytics applied to complex and large-scale clinical datasets, to support IQVIA's ongoing and rapid growth in RWAS Solutions, as well as the development of new product lines - this requires global leadership across technical and data architecture, software development and data visualization, privacy management, analytical methods, data science, machine learning, deep learning, and natural language processing (NLP) - building upon 100s of novel technologies and methods either published in peer-reviewed journals or patented by our team.
The solutions are delivered to a variety of clients across life-science, government, payor or provider organizations. The CoE also curates the largest collection de-identified Real-World Data in the world, from different patient care settings in 18 countries worldwide – the RWAS Tech CoE is at the forefront of "Big Data" in healthcare. Through its mission and skills, the RWAS is transforming the way clients create new insights and deliver improved healthcare research and patient outcomes. Our E360™ software suite forms the core of our offering, providing an unprecedented single access point to a broad range of data.
Why Join?
Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. In RWAS, you will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry.
You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries.
We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. Whatever your career goals, we are here to ensure you get there! We invite you to join IQVIA™
01/04/2019
Full time
Join us on our exciting journey! IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.
Job Description
E360™: A revolutionary, scalable and extensible web-based platform for delivering Real-World Insights, that features the world’s largest unparalleled health data collection. To find out more about E360™, please watch the YouTube video here: http://bit.ly/2w2wlfh
In a rapidly growing IT team of 90, you as a Data Scientist will be playing a vital part in an agile Data Science team. The Data Science team consists of 8 people, where you will be involved in creating E360’s core health analytics software, further enhancing life sciences and healthcare research .
What to expect
Development of data science methods within a best practice software engineering framework using Python
Working alongside other team members such as Product Owners and Software QA to write robust and scientifically credible data science routines
Participating in Agile practices such as daily stands ups, sprint planning, sprint refinements, and retrospectives
Working to fortnightly sprints and taking part in bi-weekly demos
Very friendly and informal working environment
Regular Innovation weeks – Where the data science and development teams are given the chance to work on their own projects and showcase their work at the end of the week
Our ideal candidate will have;
At least an MSc or PhD in Statistics, Data Science, Mathematics etc
Experience in a commercial data science environment
Experience of writing production quality code (not necessarily in a data science context)
Understanding of full stack web development, ideally with some hands on experience
Proven experience in a data science programming language (Python, R, SAS, Stata etc)
Experience building statistical and machine learning models (linear regression, generalised linear models, random forest, k-nearest neighbours, support vector machines, etc)
Experience manipulating small-medium sized datasets for analysis
Bonus points for;
Experience working in an agile development structure
Experience analysing datasets in Python
Experience of working with healthcare data
Experience working with software development tools such (Git, JIRA etc)
The Team
The RWAS Technology & Data Science mission is to deliver world-class and globally scalable technology platforms and analytics applied to complex and large-scale clinical datasets, to support IQVIA's ongoing and rapid growth in RWAS Solutions, as well as the development of new product lines - this requires global leadership across technical and data architecture, software development and data visualization, privacy management, analytical methods, data science, machine learning, deep learning, and natural language processing (NLP) - building upon 100s of novel technologies and methods either published in peer-reviewed journals or patented by our team.
The solutions are delivered to a variety of clients across life-science, government, payor or provider organizations. The CoE also curates the largest collection de-identified Real-World Data in the world, from different patient care settings in 18 countries worldwide – the RWAS Tech CoE is at the forefront of "Big Data" in healthcare. Through its mission and skills, the RWAS is transforming the way clients create new insights and deliver improved healthcare research and patient outcomes. Our E360™ software suite forms the core of our offering, providing an unprecedented single access point to a broad range of data.
Why Join?
Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. In RWAS, you will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry.
You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries.
We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. Whatever your career goals, we are here to ensure you get there! We invite you to join IQVIA™
This is a giant in the service industry incorporating research and a desire to be simply brilliant for their customers. Over the many years they have been in business, they have established a strong, successful brand with huge scale, capable of achieving great things. If you have the drive, optimism and resilience to help propel the business forward please be the first to let Roisin have your CV
Role & Responsibilities
Use methodical Data science techniques to select and tune algorithms
Execute experiments to quantify the performance of algorithms.
Work with multiple stakeholders to understand the business problem.
Work across a range of projects
Mine and analyse big data sets
Leverage data science skills and techniques to deliver business benefit.
Undertake machine learning, data mining and algorithm development to seek out new insight
Work with descriptive and predictive analytics.
Drive efficient ways of working and operating model.
Experience & Skills Required
Educated to degree level in a numerate subject
High degree of expertise in data science technologies and ways of working
identify patterns and trends to use with the right statistical methods
You will feel confident extracting and manipulating data
Undertake predictive analytics and targeting across inbound and outbound contact strategies
clearly communicate latest data and reports to all levels of the organisation.
Be able to translate complex analysis into the language of business.
Have experience of using machine learning frameworks.
Demonstrate a background in analytics and statistics.
Experience of predictive models alongside strong Python and/or R, SQL skills
If you fit the above job description, please contact Roisin McCarthy on 01256 314 660 or email her on rmccarthy@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.
01/04/2019
Full time
This is a giant in the service industry incorporating research and a desire to be simply brilliant for their customers. Over the many years they have been in business, they have established a strong, successful brand with huge scale, capable of achieving great things. If you have the drive, optimism and resilience to help propel the business forward please be the first to let Roisin have your CV
Role & Responsibilities
Use methodical Data science techniques to select and tune algorithms
Execute experiments to quantify the performance of algorithms.
Work with multiple stakeholders to understand the business problem.
Work across a range of projects
Mine and analyse big data sets
Leverage data science skills and techniques to deliver business benefit.
Undertake machine learning, data mining and algorithm development to seek out new insight
Work with descriptive and predictive analytics.
Drive efficient ways of working and operating model.
Experience & Skills Required
Educated to degree level in a numerate subject
High degree of expertise in data science technologies and ways of working
identify patterns and trends to use with the right statistical methods
You will feel confident extracting and manipulating data
Undertake predictive analytics and targeting across inbound and outbound contact strategies
clearly communicate latest data and reports to all levels of the organisation.
Be able to translate complex analysis into the language of business.
Have experience of using machine learning frameworks.
Demonstrate a background in analytics and statistics.
Experience of predictive models alongside strong Python and/or R, SQL skills
If you fit the above job description, please contact Roisin McCarthy on 01256 314 660 or email her on rmccarthy@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.
