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- Tasks: Unlock value from complex financial data and drive strategic decisions through advanced analytics.
- Company: Join Sainsbury's, a fast-paced FTSE business with a collaborative culture.
- Benefits: Enjoy discounts, flexible working, and a range of wellbeing benefits.
- Why this job: Make a real impact with one of the UK's richest retail data sets.
- Qualifications: Strong foundation in statistics, experience in SQL and Python, and a passion for data.
- Other info: Opportunities for continuous learning and career growth in a supportive environment.
The predicted salary is between 28800 - 48000 £ per year.
We\’d all like amazing work to do, and real work-life balance. That\’s waiting for you at Sainsbury\’s. For a FTSE business, we move incredibly fast. When we\’re not handling projects, we\’re helping all corners of the wider group with what they\’re trying to achieve. And around here, you can see the results of your work as soon as you walk into a store, which gives you a real sense of purpose and responsibility. Better still, the team around you will listen to your ideas and opinions, and you\’ll have every chance to try something new. The sheer scale and complexity of our set-up means there\’s always something else around the corner, and we\’ll help and support you every step of the way. We\’re trusted to get on with it. So get ready to make things happen here.
Please note, this role is based out of our London Store Support Centre & Home. Colleagues go into the office 1-2 days per week on average.
Why join us
Joining the Finance BI Analytics team at Sainsbury\’s means working with one of the most exciting and rich retail data sets in the UK. You\’ll play a pivotal role in driving commercial finance value through advanced analytics, statistical modelling, and data storytelling. In a dynamic and collaborative environment, you\’ll support data-driven decisions across the business. We\’re committed to continuous learning and development, so you\’ll have plenty of opportunities to grow your technical and leadership skills while making a real difference.
What You\’ll Do
As a Data Scientist in the Finance BI team, you\’ll play a key role in unlocking value from complex financial data, partnering closely with Finance Managers and senior stakeholders to deliver advanced analytical projects from end to end. You\’ll apply statistical techniques such as regression analysis, time series modelling, and hypothesis testing to uncover trends, forecast outcomes, and solve business challenges. Your insights will drive strategic decisions, and you\’ll be responsible for translating complex analytics into clear, compelling narratives that resonate with both technical and non-technical audiences. In addition, you\’ll also support and mentor colleagues in the use of SQL, Python, and BI tools, helping to build strong analytical capability across the function.
Who You Are
You\’re a curious and driven data professional with a strong foundation in statistics and modelling. You enjoy solving complex problems and translating data into meaningful insights to both technical and non-technical stakeholders. You\’re confident working with stakeholders at all levels up to director-level and thrive in a collaborative environment.
Essential Criteria
- Educational degree in Mathematics, Statistics, Data Science, or a related analytical field is desirable
- Experience applying statistical techniques and modelling in a commercial setting (such as regression analysis, time series forecasting and hypothesis testing).
- Exposure to machine learning methods, including supervised and unsupervised learning, and model evaluation
- Experience in SQL and Python for advance analytics and modelling (experience with Snowflake, R, GitHub, and Jira is a plus)
- Experience using Python libraries such as pandas, scikit-learn, and statsmodels (or R equivalent)
- Experience using BI tools like Power BI or Tableau to communicate insights
- Experience mentoring or upskilling colleagues in analytics tools (such as SQL and BI Tools) and techniques
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, 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 eligibiity criteria may apply).
Data Scientist – Finance BI employer: Sainsbury's
Contact Detail:
Sainsbury's Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Finance BI
✨Tip Number 1
Network like a pro! Reach out to current employees at Sainsbury's on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Data Scientist role. Personal connections can give you an edge!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you're comfortable discussing statistical techniques and tools like SQL and Python. Practise explaining complex data insights in simple terms, as you'll need to communicate effectively with both technical and non-technical folks.
✨Tip Number 3
Showcase your passion for data! During interviews, share examples of how you've used data to solve real-world problems. Highlight any projects where your insights made a difference, especially in a commercial setting. This will demonstrate your value to the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Sainsbury's team. Good luck!
We think you need these skills to ace Data Scientist – Finance BI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with statistical techniques and data storytelling, as these are key for us at Sainsbury's. Use specific examples that showcase your skills in SQL, Python, and BI tools.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how you can contribute to our Finance BI team. Mention any relevant projects or experiences that demonstrate your ability to solve complex problems and work collaboratively.
Showcase Your Analytical Skills: In your application, don’t forget to highlight your analytical skills. Discuss any experience you have with regression analysis, time series modelling, or machine learning methods. We love seeing how you’ve used these skills to drive business decisions!
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It’s straightforward and ensures your application goes directly to us. Plus, you’ll find all the details about the role and our amazing benefits there!
How to prepare for a job interview at Sainsbury's
✨Know Your Data
Before the interview, brush up on your knowledge of statistical techniques and modelling. Be ready to discuss how you've applied regression analysis or time series forecasting in previous roles. This will show that you can hit the ground running in the Finance BI team.
✨Prepare Your Data Story
Think about how you can translate complex analytics into clear narratives. Prepare examples where you've successfully communicated insights to both technical and non-technical stakeholders. This will demonstrate your ability to make data relatable and impactful.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Finance Managers and senior stakeholders, be prepared to share experiences where you've collaborated effectively. Highlight any mentoring you've done in SQL or Python, as this aligns with the team's focus on building analytical capability.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the types of projects the Finance BI team is currently tackling or how they measure success. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.
