At Sainsbury’s, data sits at the heart of how we operate, innovate and serve our customers. Our Data & Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury’s powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets in the UK and a portfolio spanning Sainsbury’s, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you’ll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem‑solving. Join us and help shape the future of retail through data and AI.
Senior Data Scientist – Hybrid Working – London/HomeWhy Join UsIn Customer Data Science (part of the Data Science Hub), we build the systems behind personalised customer decisioning – from customer segmentations to offer optimisation. We impact millions of customers, bringing them value and earning their loyalty.
This team already personalises all of the offers you see in the Nectar app, but now we’re growing in ambition and scale. We aim to personalise everything that matters – offers, online recommendations, digital experiences, communications. And we aim to achieve this using our incredible data asset, our rich customer understanding, and state of the art machine learning and AI.
What You’ll Do
Lead on the technical development of algorithms and pipelines that will deliver against our 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.
Own sub‑projects where appropriate, leading junior colleagues and engaging with stakeholders.
Align to best practice across modelling, experimentation, deployment, and model lifecycle management.
Coach through doing – pairing on code and demonstrating standards.
Become the recognised data science technical expert in your team, bringing new ideas for future approaches, including state of the art techniques where appropriate.
Understand how our business really works, including by supporting our stores during peak trading periods.
Actively contribute to our vibrant Data and Analytics community of over 800 colleagues, providing a view on new techniques and approaches that can drive positive change in wider teams.
Who You AreValue Delivery
Deep experience in Data Science roles, with evidence of solving complex problems end‑to‑end.
A record of building systems which run in production, and an understanding of the value these generated.
An ability to understand commercial reality as well as technical rigour.
Experience working in an Agile way, and ability to understand the trade‑off between immediate value, future value, and technical rigour.
A strong ability to communicate ideas to audiences of varying technical background and seniority.
Data Science Expertise
Strong grounding in statistical modelling and machine learning, such as predictive modelling at scale, unsupervised learning, causal inference and experimentation and optimisation and decisioning.
Strong understanding of the “how” behind the algorithm; ability to select the right technique for a given objective and avoid pitfalls.
Production‑grade Design
Extensive programming ability across Python and strong ability to use SQL, with a proven experience of developing complex solutions in a corporate environment.
Solid understanding of working with production codebases, such as version control, CI/CD, and batch processing.
Practical experience working on cloud‑based ML platforms.
Development and Coaching
A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI.
Ability to support in the development, training and mentoring of others.
Essential Criteria
Extensive experience in previous Data Science roles.
A record of building systems which run in production.
A strong ability to communicate ideas to audiences of varying technical background and seniority.
Strong grounding in statistical modelling and machine learning, including predictive modelling and linear optimisation.
Extensive programming ability across Python and strong ability to use SQL.
Solid understanding of working with production codebases, such as version control and CI/CD.
BenefitsWe are committed to being a truly inclusive retailer so you’ll be welcomed whoever you are and wherever you work. There’s always the chance to try something new – whether that’s as part of an evolving team or somewhere else across the business – and we take development seriously and promise to support you.
We also recognise and celebrate colleagues when they go the extra mile. We offer flexible working and a range of benefits. Some of them include:
colleague discount
– 10% saving on shopping online and in‑store at Sainsbury’s, Argos, TU and Habitat, with an increase to 15% at points during the year;
pensions scheme and life cover ; a performance‑related bonus of up to 20% of salary;
annual holiday allowance
with the option to buy up to an additional week of holiday;
private healthcare ;
season ticket loans ;
interest‑free car loan of up to £10k ;
cycle‑to‑work scheme , health cash plans, salary advance; and a great range of discounts from hundreds of other retailers. 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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