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About the Role
This role sits in the central Data Science Hub, focusing on operations research problems. You will work on high-impact data science projects across various business areas, delivering business impact as part of a team that builds and deploys cutting-edge data products.
Responsibilities
- Using non-technical language, tell engaging stories that influence business stakeholders
- Develop and maintain relationships with key internal customers and product owners
- Identify, scope and size data science and operations research opportunities across the Business
- Understand and document relevant business processes and driving performance metrics
- Research, design and build decision models and algorithms
- Define data requirements, gather and validate data
- Work closely with engineering (DecisionOps) teams to align on robust production architectures
- Design tests that quantify the computational and business performance
- Take a leading role in the development and delivery of team upskilling
- Share Operations Research expertise across the Data Science community
- Contribute to our vibrant Data and Analytics community
Requirements
- Passion for driving business impact through the application of Operational Research methods
- Excellent business acumen, commercial awareness, and judgement
- Ability to translate real-life problems into mathematical models
- Broad knowledge across a range of mathematical optimisation and simulation techniques
- Previous experience working with mathematical modelling libraries/platforms and solvers
- Practical experience applying operational research techniques to deliver measurable business value or a strong publication record
- Experience with Agile team management methodologies (preferably Kanban)
- Familiarity with software engineering best practices including version control, CI/CD, testing
- Basic proficiency with SQL and Python
Skills
- Operations Research
- Data Science
- Mathematical modelling
- Mathematical optimisation
- Simulation techniques
- Heuristic solution methods
- Agile
- Kanban
- Software engineering best practices
- Version control
- CI/CD
- Testing
- SQL
- Python
Location
- Hybrid Working
Work Type
- Hybrid Working
Experience Level
- Master’s or PhD in a relevant quantitative field
- Equivalent industry experience
- Related scientific/engineering degree
Education Level
- Master's Degree
- PhD
- Quantitative field
- Scientific Degree
- Engineering Degree
Benefits
- Colleague discount (10% on shopping at Sainsbury's, Argos, TU, Habitat, increasing to 15% at points)
- Pensions scheme
- Life cover
- Performance-related bonus (up to 10% of salary)
- Annual holiday allowance
- Option to buy up to an additional week's holiday
- Season ticket loans
- Cycle to work scheme
- Health cash plans
- Salary advance
- Access to discounts from hundreds of retailers
- Employee assistance programme
- Up to 26 weeks' pay for maternity or adoption leave
- Up to 4 weeks' pay for paternity leave
About the Company
- 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.
Equal Opportunity
- 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.