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- Tasks: Develop algorithms and pipelines to enhance marketing measurement solutions.
- Company: Join Sainsbury's Nectar360, a leader in loyalty programmes with 24 million members.
- Benefits: Enjoy flexible working, discounts, performance bonuses, and comprehensive wellbeing support.
- Why this job: Be part of a dynamic team driving impactful data-driven insights in retail marketing.
- Qualifications: Proficiency in Python, SQL, and experience in machine learning and predictive modelling required.
- Other info: Inclusive culture with opportunities for professional growth and development.
The predicted salary is between 36000 - 60000 £ per year.
Salary: Competitive Plus BenefitsLocation: London Store Support Centre and Home, London, EC1M 6HAContract type: PermanentBusiness area: Nectar 360 LtdClosing date: 08 August 2025Requisition ID: 400010582
We’d all like amazing work to do, and real work-life balance. That’s waiting for you at Sainsbury’s. Everything our Nectar team does is powered and fuelled by data — and by great relationships with some of the UK’s favourite brands. The Nectar 360 team focuses on developing loyalty programmes, turning amazing data into something that makes a difference, traditional media and digital. It’s like an agency-within-a-retailer, and retail media is crucial. The culture might not be what you expect either, because there’s no set-up quite like this one. The team is a real priority because it’s connected to everything the business does, and drives profitability. It’s where you can take risks, learn from them and be recognised.
We’re looking for a talented Data Scientist to join Nectar360 – the team behind Nectar at Sainsbury’s and the UK’s largest coalition loyalty programme, with 24 million members nationwide. Based in our new Farringdon office, you’ll work closely with decision-makers across Nectar360 and Sainsbury’s to power our Retail Media Marketing offering for grocery and general merchandise clients, digital agencies, and internal teams.
Joining us at Sainsbury\’s Nectar360 as a Data Scientist means being part of a forward-thinking team that is dedicated to leveraging data science to drive impactful business outcomes and deliver world-class solutions in the dynamic world of retail marketing.
With the opportunity to work on cutting-edge projects, collaborate with talented colleagues, and make a real-world impact through data-driven insights and innovation, you will be empowered to push boundaries, shape the future of marketing performance measurement, and contribute to our vibrant Data & Analytics community. If you are passionate about solving complex problems, driving commercial value through data, and being a part of a collaborative and inclusive environment, this role offers an exciting and rewarding opportunity for professional growth and development.
What you\’ll do
As a Data Scientist at Sainsbury\’s Nectar360 team, you will play a crucial role in developing algorithms and pipelines to support strategic goals, particularly focusing on marketing measurement solutions. Your responsibilities will include enhancing modelling and optimisation capabilities, ensuring alignment with engineering best practises, and recommending advanced data science techniques.
Collaborating with a diverse team of Data Scientists, Analysts, Engineers, and Product experts, you will work on projects that deliver impactful insights and commercial value, contributing to Sainsbury\’s vibrant Data & Analytics community and staying current with external trends to continuously improve data science practises.
Who you are
As a Data Scientist for Nectar360 at Sainsbury\’s, you are a skilled and innovative professional with a passion for leveraging data science to drive impactful solutions in marketing performance measurement and client-facing data science initiatives.
With a strong foundation in predictive modelling, statistical analysis, and machine learning, you excel in developing complex algorithms and pipelines to support strategic goals and enhance optimisation capabilities.
Your advanced technical skills, commercial awareness, and collaborative mindset enable you to work effectively with cross-functional teams, stakeholders, and external trends to deliver meaningful insights and drive business outcomes in a dynamic and forward-looking environment.
- Proven proficiency in Python and SQL, demonstrated through the development of complex data science solutions in a commercial environment.
- Demonstrable experience in machine learning model development, statistical analysis, and experiment design, gained through either an advanced quantitative degree or equivalent industry experience.
- Hands-on experience with cloud platforms (AWS or Azure)and MLOps tools for deploying and maintaining production-ready, user-facing solutions.
- Ability to work with complex codebases, including collaborative development practices and version control systems (e.g., Git).
- Solid experience and foundation in areas such as predictive modelling, clustering and time series analysis.
- Track record of delivering impactful data science projects, including defining goals with stakeholders and translating analytical outputs into business value.
This role will be closed early if we receive high volumes of applications.
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We 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 save 10% on your shopping online and instore 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 10% of salary (which may vary for Nectar360), 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. We also offer other benefits that will help your money go further such as season ticket loans, 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 for a range of our benefits (note, length of service and eligibility criteria may apply).
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Data Scientist employer: Sainsbury's Supermarkets Ltd
Contact Detail:
Sainsbury's Supermarkets Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science, particularly in marketing performance measurement. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with current or former employees of Sainsbury's Nectar360. They can provide valuable insights into the company culture and expectations, which can be beneficial when preparing for your interview.
✨Tip Number 3
Brush up on your Python and SQL skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects to demonstrate your proficiency and passion for coding.
✨Tip Number 4
Prepare examples of past projects where you've successfully applied machine learning techniques or statistical analysis. Being able to discuss your hands-on experience will set you apart from other candidates.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Scientist role at Sainsbury's Nectar360. Focus on your proficiency in Python, SQL, and any machine learning projects you've worked on.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how it can drive business outcomes. Mention specific projects or experiences that demonstrate your ability to solve complex problems and work collaboratively.
Showcase Your Technical Skills: In your application, emphasise your technical skills, particularly in predictive modelling, statistical analysis, and cloud platforms like AWS or Azure. Provide examples of how you've applied these skills in previous roles.
Highlight Collaborative Experience: Since the role involves working with cross-functional teams, include examples of past collaborations. Describe how you’ve worked with stakeholders to define goals and translate analytical outputs into business value.
How to prepare for a job interview at Sainsbury's Supermarkets Ltd
✨Showcase Your Technical Skills
As a Data Scientist, you'll need to demonstrate your proficiency in Python and SQL. Be prepared to discuss specific projects where you've applied these skills, particularly in developing machine learning models or data pipelines.
✨Understand the Business Context
Familiarise yourself with Sainsbury's Nectar360 and its role in retail marketing. Show that you understand how data science can drive business outcomes and be ready to discuss how your work can contribute to their strategic goals.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex data challenges, and be ready to provide examples of how you've successfully solved similar issues in the past.
✨Emphasise Collaboration and Communication
Highlight your experience working in cross-functional teams. Discuss how you've effectively communicated technical concepts to non-technical stakeholders, as collaboration is key in a role that involves working closely with various teams.
