Data

United Kingdom

London

Large

One of the world’s largest retailers of consumer goods from food to fashion. Serving our customers, communities and planet a little better every day in our stores and online is at the heart of everything we do.

Founded in 1919 by Jack Cohen using the £30 he received on leaving the Royal Flying Corp, we’ve come a long way from his small market stall in East London. Today over 400,000 colleagues work across our stores, office,  distribution and customer engagement centres in the UK, Europe and Asia. 

Share our passion for the people, products and places that make us great, and we can offer the right support to develop your skills.

Retail & Consumer Goods

Tesco

About the roleThis is a hands-on position where you will need to use your analytical skills to find solutions to business problems and improve our customers’ experience. This could include personalised communications for customers, improving our stock management models, better marketing effectiveness, maximising customer lifetime value and reducing customer churn.On any day you could be building models in the cloud for automation of decision-making across the business or optimising processes for key business objectives, defining project expectations with internal or external stakeholders, or conducting deep-dive exploratory analysis to inform strategic decision-making and supporting more junior colleagues through their development in these areas. Throughout your work you would keep our customers as the focus of all analysis.You will proactively take ownership of problems and produce brilliant work which supports the teams' objectives. To support this, there’s a strong emphasis on learning and development time with each team member having allocated time for investigating a specific area of data of interest to them. This role also involves providing guidance for more junior colleagues.You will be responsible for:<ul><li>Responsible for identifying, building, validating, optimising and managing complex models and data pipelines</li><li>Responsible for the data science lifecycle of your products including deployment into production, testing, CICD, documentation and security considerations - Generating and delivering new opportunities to improve customer experience via Data Science</li><li>Be the expert in an area and use it to support and grow the whole team – e.g. specific models, Azure environment, PySpark code optimisation</li><li>Coaching and mentoring junior colleagues and peers in Data Science practices</li><li>Integration and analysis of diverse data from multiple sources using statistical methods to identify trends, expose new opportunities, and answer ongoing business questions</li><li>Champion continuous improvement within the team by helping others to identify their development areas as well as achieving your own important learning plan</li><li>Continuously look for innovative ways to improve our products</li><li>Good understanding and use of internal and external datasets and share this knowledge openly</li><li>Promote the importance of data openly across the company</li><li>Encourage collaboration and communication between teams across the delivery tribes, and promote a culture of giving, receiving and adapting due to feedback throughout the chapter</li><li>Identify resolution paths and possible opportunities to solve unstructured problems and articulate specific research questions to form analytics project ideas and project plans to delivery</li><li>Take responsibility for decisions that you make within your projects and able to clearly explain your reasoning</li></ul>You will need:<ul><li>Ability to proactively reframe ambiguous business questions, define and execute hypothesis-driven analysis to address business questions, issues, and opportunities using more complex statistical concepts and can derive a project plan to deliver a product that resolves the business question</li><li>SQL and Python coding skills using software development principles</li><li>Database experience and good knowledge of combining internal and external data sources together for modelling</li><li>Advanced knowledge in statistical modelling methods – predictive modelling, trend analysis, unsupervised models etc</li><li>Can clearly articulate ideas with non-technical language and present a simple story to a wide audience</li><li>Demonstrate brilliant listening skills to understand and influence the needs of your stakeholders and customers</li><li>Deploying DS models in the cloud environment (Azure preferred) desirable</li><li>PySpark coding skills desirable</li></ul>

About the roleThis is a hands-on position where you will need to use your analytical skills to find solutions to business problems and improve our customers’ experience. This could include personalised communications for customers, improving our stock management models, better marketing effectiveness, maximising customer lifetime value and reducing customer churn.On any day you could be building models in the cloud for automation of decision-making across the business or optimising processes for key business objectives, defining project expectations with internal or external stakeholders, or conducting deep-dive exploratory analysis to inform strategic decision-making and supporting more junior colleagues through their development in these areas. Throughout your work you would keep our customers as the focus of all analysis.You will proactively take ownership of problems and produce brilliant work which supports the teams' objectives. To support this, there’s a strong emphasis on learning and development time with each team member having allocated time for investigating a specific area of data of interest to them. This role also involves providing guidance for more junior colleagues.You will be responsible for:Responsible for identifying, building, validating, optimising and managing complex models and data pipelinesResponsible for the data science lifecycle of your products including deployment into production, testing, CICD, documentation and security considerations - Generating and delivering new opportunities to improve customer experience via Data ScienceBe the expert in an area and use it to support and grow the whole team – e.g. specific models, Azure environment, PySpark code optimisationCoaching and mentoring junior colleagues and peers in Data Science practicesIntegration and analysis of diverse data from multiple sources using statistical methods to identify trends, expose new opportunities, and answer ongoing business questionsChampion continuous improvement within the team by helping others to identify their development areas as well as achieving your own important learning planContinuously look for innovative ways to improve our productsGood understanding and use of internal and external datasets and share this knowledge openlyPromote the importance of data openly across the companyEncourage collaboration and communication between teams across the delivery tribes, and promote a culture of giving, receiving and adapting due to feedback throughout the chapterIdentify resolution paths and possible opportunities to solve unstructured problems and articulate specific research questions to form analytics project ideas and project plans to deliveryTake responsibility for decisions that you make within your projects and able to clearly explain your reasoningYou will need:Ability to proactively reframe ambiguous business questions, define and execute hypothesis-driven analysis to address business questions, issues, and opportunities using more complex statistical concepts and can derive a project plan to deliver a product that resolves the business questionSQL and Python coding skills using software development principlesDatabase experience and good knowledge of combining internal and external data sources together for modellingAdvanced knowledge in statistical modelling methods – predictive modelling, trend analysis, unsupervised models etcCan clearly articulate ideas with non-technical language and present a simple story to a wide audienceDemonstrate brilliant listening skills to understand and influence the needs of your stakeholders and customersDeploying DS models in the cloud environment (Azure preferred) desirablePySpark coding skills desirable

Senior Data Scientist - Tesco

<div>
 About the role 
 This is a hands-on position where you will need to use your analytical skills to find solutions to business problems and improve our customers’ experience. This could include personalised communications for customers, improving our stock management models, better marketing effectiveness, maximising customer lifetime value and reducing customer churn. 
 On any day you could be building models in the cloud for automation of decision-making across the business or optimising processes for key business objectives, defining project expectations with internal or external stakeholders, or conducting deep-dive exploratory analysis to inform strategic decision-making and supporting more junior colleagues through their development in these areas. Throughout your work you would keep our customers as the focus of all analysis. 
 You will proactively take ownership of problems and produce brilliant work which supports the teams' objectives. To support this, there’s a strong emphasis on learning and development time with each team member having allocated time for investigating a specific area of data of interest to them. This role also involves providing guidance for more junior colleagues. You will be responsible for 
 <ul>
 <li>Responsible for identifying, building, validating, optimising and managing complex models and data pipelines</li> 
 <li>Responsible for the data science lifecycle of your products including deployment into production, testing, CICD, documentation and security considerations - Generating and delivering new opportunities to improve customer experience via Data Science</li> 
 <li>Be the expert in an area and use it to support and grow the whole team – e.g. specific models, Azure environment, PySpark code optimisation</li> 
 <li>Coaching and mentoring junior colleagues and peers in Data Science practices</li> 
 <li>Integration and analysis of diverse data from multiple sources using statistical methods to identify trends, expose new opportunities, and answer ongoing business questions</li> 
 <li>Champion continuous improvement within the team by helping others to identify their development areas as well as achieving your own important learning plan</li> 
 <li>Continuously look for innovative ways to improve our products</li> 
 <li>Good understanding and use of internal and external datasets and share this knowledge openly</li> 
 <li>Promote the importance of data openly across the company</li> 
 <li>Encourage collaboration and communication between teams across the delivery tribes, and promote a culture of giving, receiving and adapting due to feedback throughout the chapter</li> 
 <li>Identify resolution paths and possible opportunities to solve unstructured problems and articulate specific research questions to form analytics project ideas and project plans to delivery</li> 
 <li>Take responsibility for decisions that you make within your projects and able to clearly explain your reasoning</li> 
 </ul>You will need 
 <ul>
 <li>Ability to proactively reframe ambiguous business questions, define and execute hypothesis-driven analysis to address business questions, issues, and opportunities using more complex statistical concepts and can derive a project plan to deliver a product that resolves the business question</li> 
 <li>SQL and Python coding skills using software development principles</li> 
 <li>Database experience and good knowledge of combining internal and external data sources together for modelling</li> 
 <li>Advanced knowledge in statistical modelling methods – predictive modelling, trend analysis, unsupervised models etc</li> 
 <li>Can clearly articulate ideas with non-technical language and present a simple story to a wide audience</li> 
 <li>Demonstrate brilliant listening skills to understand and influence the needs of your stakeholders and customers</li> 
 <li>Deploying DS models in the cloud environment (Azure preferred) desirable</li> 
 <li>PySpark coding skills desirable</li>
 </ul>
 
 
 #LI-HS1 #LI-Hybrid About us 
 A 50-50 joint venture between Tesco and VMO2 that was established back in 2003, Tesco Mobile has gone from strength to strength as we’ve launched into new services and markets. With more than 5 million customers, we’re the largest mobile virtual network operator in the UK. We’re proud to have an inclusive culture that’s uniquely Tesco Mobile, with a strong sense of community, plus all the benefits of working for one of the shareholders. 
 We care for human connection and we keep our customers at the heart of everything we do, which is why we’ve embraced the Agile way of working. Agile is more than just a methodology – it’s a liberating journey that puts customers and purpose first. It empowers us to self-organise, collaborate, co-create and rapidly inspect and adapt everything we do – allowing us to respond at pace to our customers’ needs. It encourages variety of thought and enables us to thrive, both individually and collectively. 
 We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. 
 We’re a big business and we can offer a range of diverse full-time &amp; part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
 
 What’s in it for you 
 We’re all about the little helps. That’s why we give our wonderful colleagues bags of benefits. Including wellbeing services, an award-winning pension scheme and much, much more, our colleague reward package keeps on giving. And helps make every day a little better for you and your family. These include but are not limited to: 
 <ul>
 <li>Annual bonus scheme of up to 20% of base salary</li> 
 <li>Holiday starting at 25 days plus a personal day (plus Bank holidays)</li> 
 <li>Buy holiday salary sacrifice scheme (for salaried roles)</li> 
 <li>Private medical insurance</li> 
 <li>Retirement savings plan - save between 4% and 7.5% and Tesco will match your contribution</li> 
 <li>Life Assurance - 5 x contractual pay</li> 
 <li>26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks fully paid paternity leave</li> 
 <li>The right to request flexible working from your first day with us</li> 
 <li>Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing</li> 
 <li>A Colleague Clubcard for you &amp; a family member (after 3 months of service), giving you access to lots of discounts in-store &amp; online</li> 
 <li>Great colleague deals and discounts, saving you money on everyday purchases, eating out and utility bills for the home</li> 
 <li>Access to our colleague networks providing a space for colleagues to come together from a range of backgrounds. For more information about our colleague networks please click here</li> 
 <li>Opportunities to get on - take advantage of our ongoing learning opportunities and award-winning training, to help you achieve the job and career you want</li> 
 </ul> 
 Click Here to read more about the full range of benefits we have available for our colleagues
</div>

Senior Data Scientist

Requirements

Responsibilities

Tesco

Mission & Purpose