Senior Data Scientist - Customer & Loyalty AnalyticsSainsbury's • London, England, United Kingdom
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Senior Data Scientist - Customer & Loyalty Analytics
Sainsbury's
- London, England, United Kingdom
- London, England, United Kingdom
Über
What will you be doing?
Lead on the technical development of algorithms and pipelines that will deliver against Krang’s strategic objectives.
Iterate our modelling and optimisation capabilities, identifying the most appropriate techniques to enable continuous learning, expansion to novel mechanics, audiences and channels and the transition towards real‑time decisioning.
Ensure the analytical models we develop and deploy align to engineering principals around efficiency, on‑demand, and automation.
Become the recognised expert in Data Science techniques used for decisioning and be opinionated on future approaches, including state of the art techniques where appropriate.
Support Junior Data Scientists in defining projects and analytical approaches, as well as reviewing their code.
Willing to lead a sub‑team on tactical projects working with stakeholders to define goals and Junior Data Scientists to deliver impact at pace.
You will demonstrate store closeness and support our stores during peak trading periods.
You will actively contribute to our vibrant Data & Analytics community of over 800 colleagues, providing a view on new techniques and approaches that can drive positive change in wider teams.
What are we looking for?
Extensive programming ability across Python and strong ability to use SQL, with a proven experience of developing complex solutions in a corporate environment.
Excellent skills and statistical foundation in concepts such as linear optimisation, predictive modelling, clustering and time series analysis.
Experience designing and implementing price optimisation problems is desirable but not essential.
Knowledge and experience of: model building, statistical analysis, hypothesis generation, experiment design and execution, either gained through an advanced quantitative degree, or equivalent practical experience in an industry setting.
Experience using cloud platforms such as AWS or Azure and associated ML tools is desirable but not essential.
Experience using Jupyter notebooks and version control within a team using Git.
Business acumen and commercial awareness.
Ability to articulate required outcomes and present analytics work succinctly.
Independence to achieve results and work under your own guidance and initiative.
Able to lead technical conversations with data engineers.
Essential Criteria
Demonstrable ability to develop and maintain advanced data science solutions using Python and SQL within complex production or corporate environments.
Proven capability in applying statistical and machine‑learning techniques such as optimisation, predictive modelling, clustering, and time‑series analysis to real business problems.
Evidence of designing, building and deploying analytical models or pipelines that align with engineering principles for efficiency, automation and scalable delivery.
Ability to lead technical discussions and provide guidance to colleagues, including reviewing code, supporting analytical project design, and collaborating effectively with data engineers.
A strong business acumen and commercial awareness.
Benefits Starting off with colleague discount, you’ll be able to save 10% on your shopping online and in‑store at Sainsbury’s, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You’ll also be able to share in our success as you may be eligible for a performance‑related bonus of up to 20% of salary, depending on how we perform.
Your wellbeing is important to us too. You’ll receive an annual holiday allowance, and you can buy up to an additional week’s holiday, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, interest‑free car loan of up to £10k, cycle‑to‑work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme.
Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave.
Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).
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Sprachkenntnisse
- English
Hinweis für Nutzer
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