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.
Sartorius develop automated laboratory systems which integrate novel hardware and software solutions with electronics, sensor technology and single use consumables to provide easy-to-use platforms for development scientists within the modern life sciences industry. Sartorius is looking for a capable Data Scientist to contribute to development projects and shape how we process and analyse multivariate data. Key job accountabilities will include :
Formatting data (and automating the formatting of data) from a broad range of sources for analysis.
Working with multi-discipline engineering teams to analyse experimental data, present conclusions and shape the development of software and hardware systems.
Working with software development teams to encode data formatting and data analysis algorithms into finished products.
Multivariate Data Analysis – likely with SIMCA.
Evaluation of spectroscopy data.
Assisting with troubleshooting customer issues relating software data processing.
This role will be based in Royston, Cambridge UK supporting the development teams located there but may require occasional travel to customers and other development groups within the worldwide Sartorius organisation. Qualifications : PhD/ EngD, MSc, or Degree level qualification plus equivalent experience in relevant field of study, e.g. Physics, Chemistry, Engineering, Biochemical Engineering, Mathematics. Experience :
General Programming skills and data manipulation (e.g. Python, C#, C++)
Mathematical statistical scripting (e.g. R or Matlab)
Multivariate Data Analysis (e.g. SIMCA, PLS Toolbox, Unscrambler)
Mathematical / Statistical data evaluation methods and algorithms
Spectroscopy data evaluation (ideally Raman and NIR)
Key job skills Essential :
Rapid software prototyping / scripting.
Multivariate data analysis.
Mathematical / Statistical data evaluation.
Desirable :
Spectroscopy data evaluation.
Cell culture experience.
Engineering Product Development Lifecycle.
Software Development Process.
Experimental design, including Design Of Experiments approaches.
In order to commence working with us, the successful candidate will need the right to work in the UK.
15/05/2019
Full time
Sartorius develop automated laboratory systems which integrate novel hardware and software solutions with electronics, sensor technology and single use consumables to provide easy-to-use platforms for development scientists within the modern life sciences industry. Sartorius is looking for a capable Data Scientist to contribute to development projects and shape how we process and analyse multivariate data. Key job accountabilities will include :
Formatting data (and automating the formatting of data) from a broad range of sources for analysis.
Working with multi-discipline engineering teams to analyse experimental data, present conclusions and shape the development of software and hardware systems.
Working with software development teams to encode data formatting and data analysis algorithms into finished products.
Multivariate Data Analysis – likely with SIMCA.
Evaluation of spectroscopy data.
Assisting with troubleshooting customer issues relating software data processing.
This role will be based in Royston, Cambridge UK supporting the development teams located there but may require occasional travel to customers and other development groups within the worldwide Sartorius organisation. Qualifications : PhD/ EngD, MSc, or Degree level qualification plus equivalent experience in relevant field of study, e.g. Physics, Chemistry, Engineering, Biochemical Engineering, Mathematics. Experience :
General Programming skills and data manipulation (e.g. Python, C#, C++)
Mathematical statistical scripting (e.g. R or Matlab)
Multivariate Data Analysis (e.g. SIMCA, PLS Toolbox, Unscrambler)
Mathematical / Statistical data evaluation methods and algorithms
Spectroscopy data evaluation (ideally Raman and NIR)
Key job skills Essential :
Rapid software prototyping / scripting.
Multivariate data analysis.
Mathematical / Statistical data evaluation.
Desirable :
Spectroscopy data evaluation.
Cell culture experience.
Engineering Product Development Lifecycle.
Software Development Process.
Experimental design, including Design Of Experiments approaches.
In order to commence working with us, the successful candidate will need the right to work in the UK.
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
Applicants must be authorized to work in the Caymans Islands. We are unable to sponsor visas at this time.
OVERVIEW
The Machine-Learning Intern is responsible for assisting blockchain architects and engineers with the design and implementation of machine-learning technologies for the BAT roadmap.
The primary task is the development of an open decentralized blockchain-based ads ecosystem, involving user contributions, attention rewards, and publisher contributions over several phases. As a part of this, the intern will work on analyzing data to determine trends and determine the accuracy of the associated models. Interns will develop a hands-on competency in training and refining the standard machine learning algorithms in the toolkit.
DESIRED SKILLS The ideal candidate is interested in working with distributed applications and has a familiarity with python.
OTHER DETAILS This position reports to the BAT Principal Engineer, working on Grand Cayman island.
08/05/2019
Full time
Applicants must be authorized to work in the Caymans Islands. We are unable to sponsor visas at this time.
OVERVIEW
The Machine-Learning Intern is responsible for assisting blockchain architects and engineers with the design and implementation of machine-learning technologies for the BAT roadmap.
The primary task is the development of an open decentralized blockchain-based ads ecosystem, involving user contributions, attention rewards, and publisher contributions over several phases. As a part of this, the intern will work on analyzing data to determine trends and determine the accuracy of the associated models. Interns will develop a hands-on competency in training and refining the standard machine learning algorithms in the toolkit.
DESIRED SKILLS The ideal candidate is interested in working with distributed applications and has a familiarity with python.
OTHER DETAILS This position reports to the BAT Principal Engineer, working on Grand Cayman island.
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!
We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky.
In this role you’ll identify, lead and deliver improvement initiatives across in the Finance Shared Service Centre (SCC), with Account to Report processes being a major focus.
The perks
Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more. To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.
You will
Support the Financial Controller to drive Continuous Improvement methodology, standardisation of processes and increased efficiency & effectiveness of processes
Identify and deliver continuous improvement (CI) initiatives to increase effectiveness and efficiency of Finance Shared Service Centre (SSC) processes
Operate as a subject matter expert within the SSC for CI
Contribute to the department activities such as KPIs, CI Review Board and communications.
Ensure the SCC has updated processes following any change requests or CI initiatives
Support change activity for SCC for ERP rollout including;
Process map change impact assessments, training needs analysis and training delivery plans
Provide post go-live support for end users
You’ll have
A full accounting qualification (ACA, CIMA, ACCA or equivalent)
Experience of working in an Account to Report (A2R) role in a Global Finance SSC
SAP (must) Ariba (desirable) skills.
Finance Transformation Experience or System Implementation Experience
Delivered Finance Process Improvement Initiatives.
An ability to work on own initiative and deliver objectives.
Confidence to hold Workshops/Training/Road Shows
Great Soft Skills – Influence/Negotiate/Commercial Awareness.
So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions, we might withdraw the offer.
We’re happy to discuss flexible working.
It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.
24/04/2019
Full time
We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky.
In this role you’ll identify, lead and deliver improvement initiatives across in the Finance Shared Service Centre (SCC), with Account to Report processes being a major focus.
The perks
Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more. To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.
You will
Support the Financial Controller to drive Continuous Improvement methodology, standardisation of processes and increased efficiency & effectiveness of processes
Identify and deliver continuous improvement (CI) initiatives to increase effectiveness and efficiency of Finance Shared Service Centre (SSC) processes
Operate as a subject matter expert within the SSC for CI
Contribute to the department activities such as KPIs, CI Review Board and communications.
Ensure the SCC has updated processes following any change requests or CI initiatives
Support change activity for SCC for ERP rollout including;
Process map change impact assessments, training needs analysis and training delivery plans
Provide post go-live support for end users
You’ll have
A full accounting qualification (ACA, CIMA, ACCA or equivalent)
Experience of working in an Account to Report (A2R) role in a Global Finance SSC
SAP (must) Ariba (desirable) skills.
Finance Transformation Experience or System Implementation Experience
Delivered Finance Process Improvement Initiatives.
An ability to work on own initiative and deliver objectives.
Confidence to hold Workshops/Training/Road Shows
Great Soft Skills – Influence/Negotiate/Commercial Awareness.
So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions, we might withdraw the offer.
We’re happy to discuss flexible working.
It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.
We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky.
Join us as a Senior Business Analyst in Customer Service Group, Change and you’ll be part of the team that continually delivers brilliant results, the right way.
The Change team is a team of change professionals who deliver best in class products and services with a passion for the customer. We collaborate with all areas of Sky to understand the business need, lead and shape transformational change and deliver innovative solutions and world class customer experience. We work across a broad portfolio of projects that include product launches, estate transformation and business growth and efficiency initiatives.
The perks
Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more.
To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.
You will
As a Senior Business Analyst in the Change team, you’ll be a dynamic and organised problem solver with strong leadership skills to deliver end to end business analysis from project set up to implementation. You will lead the analysis on projects and larger complex programmes of work and be accountable for the delivery all analysis activities.
You will work as part of the project delivery team, sometimes leading other analysts, and have the below responsibilities:
Lead analysis for a whole project or for a programme work stream, e.g. customer communications, operating model, supply chain, business readiness and various customer channels – online, apps and TV
Create and manage the analysis plan and approach, utilising flexible and agile ways of working within agreed timescales, quality standards and budget
Provide analysis services at the initiation of projects including stakeholder identification, scope definition, benefit measures and operational impact assessments
Deliver or manage delivery of standard change analysis including:
Business requirements (gathering, analysis, sign off)
Impact assessments
Process maps
Customer journeys
Stakeholder identification and management
Implementation support
Champion the customer, ensuring all change strives to improve the customer experience
Work closely with senior stakeholders, fully understanding their business needs and providing concise and relevant updates to them
Work closely with technology colleagues to ensure delivery of requirements, providing traceability to the stakeholders
Coach and mentor business analysts, sharing your knowledge and experience
You’ll have
Strong analytical and problem solving skills bringing a creative approach to solution finding
Attention to detail
Ability to see the bigger picture and how change will meet business goals
Excellent relationship building approach, experienced in stakeholder management and working collaboratively with cross disciplined project teams
Effective verbal and written communication skills
Confidence in working with all stakeholders including senior management
Working knowledge of the full project lifecycle with practical experience in planning and analysis
Ability to adapt your analysis approach quickly in a flexible and agile environment where change to in flight projects is welcomed
So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions, we might withdraw the offer.
We’re happy to discuss flexible working.
I t’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.
24/04/2019
Full time
We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky.
Join us as a Senior Business Analyst in Customer Service Group, Change and you’ll be part of the team that continually delivers brilliant results, the right way.
The Change team is a team of change professionals who deliver best in class products and services with a passion for the customer. We collaborate with all areas of Sky to understand the business need, lead and shape transformational change and deliver innovative solutions and world class customer experience. We work across a broad portfolio of projects that include product launches, estate transformation and business growth and efficiency initiatives.
The perks
Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more.
To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.
You will
As a Senior Business Analyst in the Change team, you’ll be a dynamic and organised problem solver with strong leadership skills to deliver end to end business analysis from project set up to implementation. You will lead the analysis on projects and larger complex programmes of work and be accountable for the delivery all analysis activities.
You will work as part of the project delivery team, sometimes leading other analysts, and have the below responsibilities:
Lead analysis for a whole project or for a programme work stream, e.g. customer communications, operating model, supply chain, business readiness and various customer channels – online, apps and TV
Create and manage the analysis plan and approach, utilising flexible and agile ways of working within agreed timescales, quality standards and budget
Provide analysis services at the initiation of projects including stakeholder identification, scope definition, benefit measures and operational impact assessments
Deliver or manage delivery of standard change analysis including:
Business requirements (gathering, analysis, sign off)
Impact assessments
Process maps
Customer journeys
Stakeholder identification and management
Implementation support
Champion the customer, ensuring all change strives to improve the customer experience
Work closely with senior stakeholders, fully understanding their business needs and providing concise and relevant updates to them
Work closely with technology colleagues to ensure delivery of requirements, providing traceability to the stakeholders
Coach and mentor business analysts, sharing your knowledge and experience
You’ll have
Strong analytical and problem solving skills bringing a creative approach to solution finding
Attention to detail
Ability to see the bigger picture and how change will meet business goals
Excellent relationship building approach, experienced in stakeholder management and working collaboratively with cross disciplined project teams
Effective verbal and written communication skills
Confidence in working with all stakeholders including senior management
Working knowledge of the full project lifecycle with practical experience in planning and analysis
Ability to adapt your analysis approach quickly in a flexible and agile environment where change to in flight projects is welcomed
So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions, we might withdraw the offer.
We’re happy to discuss flexible working.
I t’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.
Brave is looking for an experienced software engineer to join Brave's reseach team to help with both developing new ambitious research ideas and in transferring advanced research prototypes into Brave products. This job involves working side-by-side with both researchers and developers. The Brave browser relies on some deep tech and we are commited to moving cutting-edge research ideas into practice.
Brave is already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.
Specific Skills That Will Set You Apart from the Competition
Applied cryptography
Blockchain
Machine learning
Decentralized machine learning
Ph.D. in computer science from a top-tier school, although we will consider someone who has a Master's degree but has some research experience
About you
An ideal candidate will have a mix of skills that include the following:
Demonstrates a high level of initiative and consistently delivers high-quality answers
Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
Is excited by the potential of realising high-value commercial outcomes and change the way that the advertising business operates
Want to be part of a high-growth startup company with global ambitions
Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or Rust is also strongly encouraged.
Has a proven track record products and a broad understanding of the state of the art in applied crypto, blockchain, or machine learning
Comfortable working in an open source setting
Has a passion for helping protect users’ privacy and security
What we offer
Ability to work at an exciting and well-funded international startup headquartered in San Francisco
Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
Competitive compensation and plenty of room for personal growth
Great international exposure and team atmosphere
We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
24/04/2019
Full time
Brave is looking for an experienced software engineer to join Brave's reseach team to help with both developing new ambitious research ideas and in transferring advanced research prototypes into Brave products. This job involves working side-by-side with both researchers and developers. The Brave browser relies on some deep tech and we are commited to moving cutting-edge research ideas into practice.
Brave is already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.
Specific Skills That Will Set You Apart from the Competition
Applied cryptography
Blockchain
Machine learning
Decentralized machine learning
Ph.D. in computer science from a top-tier school, although we will consider someone who has a Master's degree but has some research experience
About you
An ideal candidate will have a mix of skills that include the following:
Demonstrates a high level of initiative and consistently delivers high-quality answers
Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
Is excited by the potential of realising high-value commercial outcomes and change the way that the advertising business operates
Want to be part of a high-growth startup company with global ambitions
Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or Rust is also strongly encouraged.
Has a proven track record products and a broad understanding of the state of the art in applied crypto, blockchain, or machine learning
Comfortable working in an open source setting
Has a passion for helping protect users’ privacy and security
What we offer
Ability to work at an exciting and well-funded international startup headquartered in San Francisco
Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
Competitive compensation and plenty of room for personal growth
Great international exposure and team atmosphere
We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
Brave is looking for an experienced Machine Learning engineer to help build our Brave Web Browser. It's already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.
Specific Skills That Will Set You Apart from the Competition
Privacy-preserving machine learning
Decentralized machine learning
Deep knowledge of adtech
Ph.D. in computer science from a top-tier school
About you
An ideal candidate will have a mix of skills that include the following:
Demonstrates a high level of initiative and consistently delivers high-quality answers
Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
Is excited by the potential of realising high-value commercial outcomes and change the way that the advertising business operates
Want to be part of a high-growth startup company with global ambitions
Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or C# is also strongly encouraged.
Has a proven track record implementing data driven products and a broad understanding of the state of the art in machine learning
Comfortable working in an open source setting
Able to create and deploy machine learning pipelines
Has a passion for helping protect users’ privacy and security
A Ph.D. in computer science is highly preferred, but we may consider some exceptions
Specific Skills
Logistic Regression, Decision Trees, Random Forest, Naive Bayes, Clustering, etc. and a good grasp of the strengths and weaknesses of specific approaches
Basic data cleansing and preparation, variable preprocessing/transformation
Univariate analysis, performing statistical tests, covariance analysis, multivariate analysis and linear/non-linear regression
Preparation of data sets for predictive modelling, robust predictive model building, validation and application
Automation of statistical processes and integration into a bigger product
Experience in Hadoop technologies such as Hive / Impala and distributed data pipelines such as Airflow / Luigi
What we offer
Ability to work at an exciting and well-funded international startup headquartered in San Francisco
Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
Competitive compensation and plenty of room for personal growth
Great international exposure and team atmosphere
We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
24/04/2019
Full time
Brave is looking for an experienced Machine Learning engineer to help build our Brave Web Browser. It's already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware.
Specific Skills That Will Set You Apart from the Competition
Privacy-preserving machine learning
Decentralized machine learning
Deep knowledge of adtech
Ph.D. in computer science from a top-tier school
About you
An ideal candidate will have a mix of skills that include the following:
Demonstrates a high level of initiative and consistently delivers high-quality answers
Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
Is excited by the potential of realising high-value commercial outcomes and change the way that the advertising business operates
Want to be part of a high-growth startup company with global ambitions
Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or C# is also strongly encouraged.
Has a proven track record implementing data driven products and a broad understanding of the state of the art in machine learning
Comfortable working in an open source setting
Able to create and deploy machine learning pipelines
Has a passion for helping protect users’ privacy and security
A Ph.D. in computer science is highly preferred, but we may consider some exceptions
Specific Skills
Logistic Regression, Decision Trees, Random Forest, Naive Bayes, Clustering, etc. and a good grasp of the strengths and weaknesses of specific approaches
Basic data cleansing and preparation, variable preprocessing/transformation
Univariate analysis, performing statistical tests, covariance analysis, multivariate analysis and linear/non-linear regression
Preparation of data sets for predictive modelling, robust predictive model building, validation and application
Automation of statistical processes and integration into a bigger product
Experience in Hadoop technologies such as Hive / Impala and distributed data pipelines such as Airflow / Luigi
What we offer
Ability to work at an exciting and well-funded international startup headquartered in San Francisco
Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
Competitive compensation and plenty of room for personal growth
Great international exposure and team atmosphere
We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
At AstraZeneca we turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. Every single day, we make a difference by delivering potentially life-changing medicines to millions of people worldwide.
We are passionate about the power of data and Artificial Intelligence (AI) as a catalyst for change. We are transforming to deliver a FAIR science data foundation, AI-augmented drug design and genomics, knowledge graphs driving biological insights and holistic precision medicine. Join AstraZeneca Oncology’s vision to redefine cancer, redefine our solutions to cancer, and restore patients' lives.
Minimum Requirements:
BSc and MSc or PhD degrees in a quantitative discipline (Applied Statistics, Mathematics, Data Science, Physics or similar).
Relevant work experience, including full time industry experience or post-doctoral research.
Expert solving complex data problems with a broad set of machine learning and statistical data mining techniques, including deep learning.
Experience with machine intelligence, algorithmic foundations of optimization, transfer learning, graph techniques, machine attention or reinforcement learning.
Programming proficiency with Python or R; version control (Git/Bitbucket).
Experience contributing to the research community through publication and conferences.
Experience working with biological or health data e.g. genomics.
About the job
In AstraZeneca Oncology our data scientists are embedded throughout our research organization. As a Research Data Scientist, you will work alongside drug project bioscientists, software engineers and bioinformaticians to generate new ideas to impact our science with machine learning. We will provide an environment where you can collaborate with domain experts and the burgeoning data science community to create experiments, steer data generation and rapidly deploy solutions.
Typical research will focus on applying machine intelligence, natural language processing and deep learning for:
Feature engineering/extraction for genomics, CRISPR, and phenotypic assays.
Representation and modeling of multi-modal patient data for precision medicine.
Retrieving and harnessing prior-knowledge to augment machine intelligence.
The team will actively research ways in which to improve machine learning algorithms and infrastructure for biological data and enable practical application by our research community. You will maintain awareness of cutting-edge applications of machine learning and initiate collaborative interactions with leaders in the field. You will grow your external reputation and contribute to the wider research community by publishing innovative methodologies and scientific discoveries.
You will have the opportunity to supervise and mentor junior data scientists, directing their day-to-day scientific and technical delivery. You will educate the AZ Oncology leadership and scientific community to recognize opportunities for machine learning and adopt a data-first FAIR culture.
23/04/2019
Full time
At AstraZeneca we turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. Every single day, we make a difference by delivering potentially life-changing medicines to millions of people worldwide.
We are passionate about the power of data and Artificial Intelligence (AI) as a catalyst for change. We are transforming to deliver a FAIR science data foundation, AI-augmented drug design and genomics, knowledge graphs driving biological insights and holistic precision medicine. Join AstraZeneca Oncology’s vision to redefine cancer, redefine our solutions to cancer, and restore patients' lives.
Minimum Requirements:
BSc and MSc or PhD degrees in a quantitative discipline (Applied Statistics, Mathematics, Data Science, Physics or similar).
Relevant work experience, including full time industry experience or post-doctoral research.
Expert solving complex data problems with a broad set of machine learning and statistical data mining techniques, including deep learning.
Experience with machine intelligence, algorithmic foundations of optimization, transfer learning, graph techniques, machine attention or reinforcement learning.
Programming proficiency with Python or R; version control (Git/Bitbucket).
Experience contributing to the research community through publication and conferences.
Experience working with biological or health data e.g. genomics.
About the job
In AstraZeneca Oncology our data scientists are embedded throughout our research organization. As a Research Data Scientist, you will work alongside drug project bioscientists, software engineers and bioinformaticians to generate new ideas to impact our science with machine learning. We will provide an environment where you can collaborate with domain experts and the burgeoning data science community to create experiments, steer data generation and rapidly deploy solutions.
Typical research will focus on applying machine intelligence, natural language processing and deep learning for:
Feature engineering/extraction for genomics, CRISPR, and phenotypic assays.
Representation and modeling of multi-modal patient data for precision medicine.
Retrieving and harnessing prior-knowledge to augment machine intelligence.
The team will actively research ways in which to improve machine learning algorithms and infrastructure for biological data and enable practical application by our research community. You will maintain awareness of cutting-edge applications of machine learning and initiate collaborative interactions with leaders in the field. You will grow your external reputation and contribute to the wider research community by publishing innovative methodologies and scientific discoveries.
You will have the opportunity to supervise and mentor junior data scientists, directing their day-to-day scientific and technical delivery. You will educate the AZ Oncology leadership and scientific community to recognize opportunities for machine learning and adopt a data-first FAIR culture.
AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. Our growth platforms are doing extremely well, and the impact of our older products decline is starting to reduce. And, with the potential of our pipeline and new medicines, we can be confident in our ability to sustain growth for years to come and make an even bigger difference to patients around the world.
At AstraZeneca, we're proud to have a workplace culture that inspires innovation and collaboration. Our vision of a great place to work is one in which all our employees are engaged and inspired by a clear shared purpose and a compelling strategy; where they are encouraged to perform and develop to their full potential; and where they are supported by the right organisation design, culture, technology and processes.
As a Data & Analytics engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a data professional with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work almost exclusively with AWS services. You will join a team that has delivered cloud solutions, such as the development of auto-scaling data integration and analytic platform. Similarly, we have built an automated cloud ETL test harness which integrates with our evolving CI/CD processes. We have an exciting pipeline of work, so you might be developing a data hub processing terabytes of clinical trial data, the world’s largest genomics platform, a federated reporting capability, a new tax analytics platform, or improvements to any of our existing analytics solutions.
You'll be part of a team of engineers who work closely with IT colleagues in UK, US, Sweden, India and Mexico. We have business partners and team members spread globally, so you would need a collaborative delivery approach to be successful. We prefer to use Agile, but choose the appropriate approach for the project. You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on agreed architecture, right through to service. Do you have a real passion for delivering well engineered data and analytics solutions? Because this will make you stand out from other specialists.
If you would like to discuss flexible working or part-time working, we would be happy to hear from you.
Key responsibilities
Define effective ways of end-to-end deliver of our data and analytics platform, drive visualisation strategy to enable specific insights for better business decisions.
Lead a team of data and reporting engineers focused on developing cutting edge visualisation and computational capabilities for our big data platform.
Be hands on within the scrum team on a day-to-day basis, continually inspecting and shaping the backlog in response to the changing business requirements or technical discoveries/POCs.
Challenge the norm, and push the team to forget the easy route and go after the impossible.
Lead technology processes from concept development to completion of project deliverables.
Desirable technical skills & experience
Experience of cloud techniques and tools (we currently use AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark),
Experience of ETL techniques and tools (we currently use Talend for ETL),
Experience of visualisation technologies (we are focused on OBIEE, MicroStrategy, Spotfire, Qlik, Power BI),
Experience of building scalable high availability analytics solutions,
Experience in one or multiple programming languages (we currently use Python, Java, R, JavaScript and SQL),
Experience of building unit tests, integration tests, system tests and acceptance tests,
Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git),
Experience of data analysis – profiling, investigating, interpreting and documenting data structures,
Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema),
Agile practices, especially being a SCRUM Master,
To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be an excellent fit, please share this posting with them
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
23/04/2019
Full time
AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. Our growth platforms are doing extremely well, and the impact of our older products decline is starting to reduce. And, with the potential of our pipeline and new medicines, we can be confident in our ability to sustain growth for years to come and make an even bigger difference to patients around the world.
At AstraZeneca, we're proud to have a workplace culture that inspires innovation and collaboration. Our vision of a great place to work is one in which all our employees are engaged and inspired by a clear shared purpose and a compelling strategy; where they are encouraged to perform and develop to their full potential; and where they are supported by the right organisation design, culture, technology and processes.
As a Data & Analytics engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a data professional with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work almost exclusively with AWS services. You will join a team that has delivered cloud solutions, such as the development of auto-scaling data integration and analytic platform. Similarly, we have built an automated cloud ETL test harness which integrates with our evolving CI/CD processes. We have an exciting pipeline of work, so you might be developing a data hub processing terabytes of clinical trial data, the world’s largest genomics platform, a federated reporting capability, a new tax analytics platform, or improvements to any of our existing analytics solutions.
You'll be part of a team of engineers who work closely with IT colleagues in UK, US, Sweden, India and Mexico. We have business partners and team members spread globally, so you would need a collaborative delivery approach to be successful. We prefer to use Agile, but choose the appropriate approach for the project. You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on agreed architecture, right through to service. Do you have a real passion for delivering well engineered data and analytics solutions? Because this will make you stand out from other specialists.
If you would like to discuss flexible working or part-time working, we would be happy to hear from you.
Key responsibilities
Define effective ways of end-to-end deliver of our data and analytics platform, drive visualisation strategy to enable specific insights for better business decisions.
Lead a team of data and reporting engineers focused on developing cutting edge visualisation and computational capabilities for our big data platform.
Be hands on within the scrum team on a day-to-day basis, continually inspecting and shaping the backlog in response to the changing business requirements or technical discoveries/POCs.
Challenge the norm, and push the team to forget the easy route and go after the impossible.
Lead technology processes from concept development to completion of project deliverables.
Desirable technical skills & experience
Experience of cloud techniques and tools (we currently use AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark),
Experience of ETL techniques and tools (we currently use Talend for ETL),
Experience of visualisation technologies (we are focused on OBIEE, MicroStrategy, Spotfire, Qlik, Power BI),
Experience of building scalable high availability analytics solutions,
Experience in one or multiple programming languages (we currently use Python, Java, R, JavaScript and SQL),
Experience of building unit tests, integration tests, system tests and acceptance tests,
Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git),
Experience of data analysis – profiling, investigating, interpreting and documenting data structures,
Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema),
Agile practices, especially being a SCRUM Master,
To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be an excellent fit, please share this posting with them
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky.
Data Tech and Analytics brings together data from multiple sources across Sky, creating analytical products and capabilities. You will be working in a fast paced and dynamic environment surrounded by a high performing team.
As part of the Development team you’ll be delivering future-proof, scalable and innovative technical solutions to satisfy our diverse business needs.
The perks
Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more.
To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.
You will:
Support our transition to Google Cloud Platform, inputting to technical discussions and direction
Produce high quality deliverables that follow the development standards and principles
Work with and assist the wider data community, providing technical & domain expertise
Inputting to low level solution design and estimation process
Driving technology and development best practices into the team with passion and enthusiasm
Assist with the mentoring of associate developers and colleagues during the project lifecycle championing excellence across the team
Promoting good attitudes and behaviours, such as collaboration, learning, sharing, respect and motivation
You’ll have:
In depth understanding of large scale data, such as data warehousing or cloud based analytic solutions. Knowledge of Microsoft Azure, AWS (Amazon Web Services) or GCP (Google Cloud Platform) would be beneficial
An understanding of data modelling concepts within a data warehouse environment
Knowledge of Cloud products and services, such as Google Cloud SQL, BigQuery, Cloud Storage, Compute Engine, Dataflow, Dataproc, Azure SQL Data Warehouse, Functions, Data Lake Storage, Data Factory, Databricks, Amazon Athena, EMR, Redshift, Lambda, S3, SageMaker would be beneficial
A desire to learn new technologies
An ability to explain complex technical concepts to non-technical stakeholders
Demonstrates exceptional communication and interpersonal skills and has a proven ability to influence technical decisions in a fast-moving commercial environment
Experience in the following is essential:
SQL (ANSI standard or equivalent) within Data Warehousing or OLAP environments
Unix shell scripting
Low level solution design
Understanding of the following is desirable but not essential:
Working in an Agile environment
Python
Java
Spark
ETL Tools (preferably Ab Initio or Informatica)
If you’re ready to work in a fast paced dynamic environment alongside talented people who take pride in delivering great results, apply today.
So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions, we might withdraw the offer.
We’re happy to discuss flexible working.
It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.
23/04/2019
Full time
We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky.
Data Tech and Analytics brings together data from multiple sources across Sky, creating analytical products and capabilities. You will be working in a fast paced and dynamic environment surrounded by a high performing team.
As part of the Development team you’ll be delivering future-proof, scalable and innovative technical solutions to satisfy our diverse business needs.
The perks
Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more.
To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.
You will:
Support our transition to Google Cloud Platform, inputting to technical discussions and direction
Produce high quality deliverables that follow the development standards and principles
Work with and assist the wider data community, providing technical & domain expertise
Inputting to low level solution design and estimation process
Driving technology and development best practices into the team with passion and enthusiasm
Assist with the mentoring of associate developers and colleagues during the project lifecycle championing excellence across the team
Promoting good attitudes and behaviours, such as collaboration, learning, sharing, respect and motivation
You’ll have:
In depth understanding of large scale data, such as data warehousing or cloud based analytic solutions. Knowledge of Microsoft Azure, AWS (Amazon Web Services) or GCP (Google Cloud Platform) would be beneficial
An understanding of data modelling concepts within a data warehouse environment
Knowledge of Cloud products and services, such as Google Cloud SQL, BigQuery, Cloud Storage, Compute Engine, Dataflow, Dataproc, Azure SQL Data Warehouse, Functions, Data Lake Storage, Data Factory, Databricks, Amazon Athena, EMR, Redshift, Lambda, S3, SageMaker would be beneficial
A desire to learn new technologies
An ability to explain complex technical concepts to non-technical stakeholders
Demonstrates exceptional communication and interpersonal skills and has a proven ability to influence technical decisions in a fast-moving commercial environment
Experience in the following is essential:
SQL (ANSI standard or equivalent) within Data Warehousing or OLAP environments
Unix shell scripting
Low level solution design
Understanding of the following is desirable but not essential:
Working in an Agile environment
Python
Java
Spark
ETL Tools (preferably Ab Initio or Informatica)
If you’re ready to work in a fast paced dynamic environment alongside talented people who take pride in delivering great results, apply today.
So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions, we might withdraw the offer.
We’re happy to discuss flexible working.
It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.
We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky.
This role is an exciting opportunity to join us and work within our Test Team
The perks
Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more.
To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.
You will:
As a member of the Test Team within Data Technology & Operations, you’ll help deliver technical solutions that will meet the business requirements of our partners. This will include defining, estimating, planning and executing manual and automated test scripts as appropriate.
Produce documentation that state clearly the scope of what will and will not be included in the test coverage, with justification where appropriate, achieve sign off of scope from our partners
Documents and validates all gaps, risks, issues, assumptions and dependencies with mitigation.
Ensures consideration given to the use of automation for test scripts or data creation
Produce automated test scripts, unless by exception manual is the solution, supporting test requirements and coverage, and documents expected results
Ensures independent, documented quality peer reviews are undertaken on own work
Ensures test estimates clearly differentiate between man day’s effort and elapsed duration
Ensure that regression test scripts are maintained in line with ongoing changes to the platform
Work with and assist the other teams within the department and provide technical & domain input and with the mentoring of associate testers and colleagues during the project lifecycle
You’ll have:
In depth understanding of large scale data, such as data warehouses and their standard methodology and principles of managing them
Experience of ETL technical design, development and support
Excellent SQL skills
Experience of Unix and python scripting
Experience in Netezza, Oracle are desirable but not essential.
Comfortable with developing testing capability in automation frameworks
Technology background that includes as many as possible of – Selenium, Cucumber, LeanFT, Java, Maven, Jenkins, Git
Demonstrates exceptional communication and interpersonal skills and has a proven ability to influence technical decisions in a dynamic commercial environment.
So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team.
Just so you know: if your application is successful, your appointment will be subject to receiving a positive outcome from your criminal record check.
We’re happy to discuss flexible working.
It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.
If you are successful in your application for this role, your appointment will be subject to receiving a positive outcome from your Criminal Record Check.
23/04/2019
Full time
We’re Sky, Europe’s biggest entertainment brand. Think top-quality shows. Breaking news. Innovative tech. Must-have products. Careers here mean the freedom and support you need to make an impact – pushing boundaries, creating solutions, hitting targets. And as part of our close-knit team, you’ll enjoy plenty of benefits. Plus, experiences you’ll only find at Sky.
This role is an exciting opportunity to join us and work within our Test Team
The perks
Sky Q, a generous pension and private health care. Access to over 12,000 LinkedIn Learning courses to support your development. And if that’s not enough, our Scotland offices have a subsidised canteen, free shuttle bus service, on-site gym and much more.
To find out more about working with us, search #LifeatSky on LinkedIn, Twitter or Instagram.
You will:
As a member of the Test Team within Data Technology & Operations, you’ll help deliver technical solutions that will meet the business requirements of our partners. This will include defining, estimating, planning and executing manual and automated test scripts as appropriate.
Produce documentation that state clearly the scope of what will and will not be included in the test coverage, with justification where appropriate, achieve sign off of scope from our partners
Documents and validates all gaps, risks, issues, assumptions and dependencies with mitigation.
Ensures consideration given to the use of automation for test scripts or data creation
Produce automated test scripts, unless by exception manual is the solution, supporting test requirements and coverage, and documents expected results
Ensures independent, documented quality peer reviews are undertaken on own work
Ensures test estimates clearly differentiate between man day’s effort and elapsed duration
Ensure that regression test scripts are maintained in line with ongoing changes to the platform
Work with and assist the other teams within the department and provide technical & domain input and with the mentoring of associate testers and colleagues during the project lifecycle
You’ll have:
In depth understanding of large scale data, such as data warehouses and their standard methodology and principles of managing them
Experience of ETL technical design, development and support
Excellent SQL skills
Experience of Unix and python scripting
Experience in Netezza, Oracle are desirable but not essential.
Comfortable with developing testing capability in automation frameworks
Technology background that includes as many as possible of – Selenium, Cucumber, LeanFT, Java, Maven, Jenkins, Git
Demonstrates exceptional communication and interpersonal skills and has a proven ability to influence technical decisions in a dynamic commercial environment.
So, what are you waiting for? Apply now for a chance to forge your own career path and be brilliant as part of a bright, talented team.
Just so you know: if your application is successful, your appointment will be subject to receiving a positive outcome from your criminal record check.
We’re happy to discuss flexible working.
It’s our people that make Sky Europe’s leading entertainment company. That’s why we work hard to be an inclusive employer, so everyone at Sky can be their best.
If you are successful in your application for this role, your appointment will be subject to receiving a positive outcome from your Criminal Record Check.
SPYSCAPE is a totally new kind of edutainment and media company. We aim to educate and entertain people as we inspire them to see the world and their own potential more clearly. Find out more here .
We need a data-driven analyst to help us understand the performance of our products, services and experiences . You’ll work with Product Management and Marketing in user research, and bring rigour to quantifying and qualifying customer behaviour and sentiment.
We're looking for someone who wants to help create a purpose-led global brand for the 21st century.
What would interest us?
A passion for constant improvement
Demonstrated ability to use tools like Excel, R, SQL and BI tools like Tableau / Looker.
Product management / analyst experience
Knowledge of research methods and statistical methods
What will resonate with you
Loves data, data visualisation and the stories you can tell
Care about user experience, and good creative environments
Cares deeply about statistical validity
Want a start up vibe in a grown up company
22/04/2019
Full time
SPYSCAPE is a totally new kind of edutainment and media company. We aim to educate and entertain people as we inspire them to see the world and their own potential more clearly. Find out more here .
We need a data-driven analyst to help us understand the performance of our products, services and experiences . You’ll work with Product Management and Marketing in user research, and bring rigour to quantifying and qualifying customer behaviour and sentiment.
We're looking for someone who wants to help create a purpose-led global brand for the 21st century.
What would interest us?
A passion for constant improvement
Demonstrated ability to use tools like Excel, R, SQL and BI tools like Tableau / Looker.
Product management / analyst experience
Knowledge of research methods and statistical methods
What will resonate with you
Loves data, data visualisation and the stories you can tell
Care about user experience, and good creative environments
Cares deeply about statistical validity
Want a start up vibe in a grown up company
