Data Scientist

Job title:

Data Scientist

Company

Sainsbury’s

Job description

Job DescriptionThe big question: why on earth should a Tech professional like you work for a 150-year-old retail chain? Because we’re on a journey. Changing the way we operate. Learning to think nimble. Giving our teams the time and freedom they need to push boundaries. To create amazing systems and technologies. To give our colleagues and our customers even more incredible experiences.There are thousands of experts to talk to and learn from. We’ve got data from billions of transactions for our teams to play with. Things get built here. They get made here. They hit customers and colleagues quickly. Welcome to the home of Sainsbury’s Data.What you’ll doThis role is part of a team focussed on building our personalised customer decisioning engine. We are ultimately the brain behind an optimised selection of offers, mechanics and discounts used to drive desired customer behaviour. We do our most complex modelling, forecasting, tool building, and insights-generation and we use agile working methodologies to make sure we’re prioritising the right outcomes. Our Data Scientists are critical in supporting Sainsbury’s to be successful in our corporate strategy of Connecting to our Customers.You will be delivering, analysing, evolving and innovating: efficient, accurate and pacey delivery of code that drives both loyalty and commercial value is the order of the day.Specifically, this Data Scientist role will be supporting the team in the following:

• Understanding known behaviour and trends across Sainsbury’s.
• Actively contributing towards ongoing optimisation of our personalisation capabilities, aiming to choose the right message for a particular customer, at the right time, through the right channel and for the right value.
• Understanding how customers see value and the profitability of an individual’s relationship and sensitivity with price, promotions, Nectar points and offers in order to consider our levers for growth.
• Identifying new approaches and methodologies to develop how we do things.
• Being the first port of call when it comes to leveraging our Group-wide dataset.
• Ensuring every bit of code and output we deliver is documented, repeatable, scalable and sharable via appropriate, collaborative tools (e.g. Git, Confluence).
• Being an active, participating member of the wider Data & Analytics community at Sainsbury’s.
• Pairing with Data Engineers to productionise our outputs.

What we’re looking for:

• At least 2-3 years’ experience in a Data Science role (Graduates with no experience will not be suitable)
• Extensive programming ability across Python and strong ability to use SQL, with proven experience of analysing data in a corporate environment.

• Strong analytical skills and statistical foundation in concepts such as predictive modelling, clustering and time series analysis.
• Experience using Jupyter notebooks and version control within a team using Git.
• Experience using cloud platforms such as AWS or Azure and associated ML tools is desirable but not essential.
• A curious problem solver who is proactive at developing their technical skills.
• Business acumen and commercial awareness.
• Ability to articulate required outcomes and present analytics work succinctly.
• Independence to achieve results and work under own guidance and initiative
• Able to have effective technical conversations with data engineers.
• Curiosity, scepticism and attention to detail regarding data quality, samples, bias and ethics.
• An awareness and understanding of technology trends and direction in Data Science, AI and analytics.

ResponsibilitiesWe’d all like amazing work to do, and real work-life balance. That’s waiting for you at Sainsbury’s. We’re one of the biggest supermarkets in the UK with one of the largest websites. So marketing here really happens at scale. We move a lot faster than you’d think too, across Brand Planning, Brand Comms and Creative, Digital Marketing, CRM and Loyalty, Nectar 360, Insights, and Corporate Responsibility and Sustainability. More people shopping with us each week means more interactions. And thanks to data insight, we understand customers in a way that almost nobody else does. We work alongside incredible brand partners and the best agencies around. So if you have a passion to learn, grow and experience new teams, come and explore it all with us.QualificationsWe are committed to being a truly inclusive retailer, so you’ll be welcomed whoever you are and wherever you work. Around here, 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 and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them:Starting off with colleague discount, you’ll be able to get 10% off at Sainsbury’s, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury’s every Friday and Saturday and 15% off at Argos every pay day. 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 10% 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 additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, pay 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).

Expected salary

Location

London

Job date

Mon, 03 Mar 2025 23:08:51 GMT

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