Location
London, London - Hybrid Working

Hours
Full Time

Salary
Negotiable

About the Role
This role is part of Sainsbury's central Data Science Hub (Data & Analytics), working on high-impact, cross-functional data science projects across pricing, digital, supply chain, and commercial areas. You will work with one of the largest retail datasets in the UK, delivering significant business impact by building, deploying, and maintaining cutting-edge data products that provide a competitive edge. Your work will focus on operational research problems, collaborating closely with stakeholders and engineering teams to develop decision models, algorithms, and robust production architectures. You will also design tests to evaluate computational and business performance in both digital and physical domains. Additionally, you will take a leading role in coaching and mentoring within the Data Science community, sharing your expertise and contributing to a vibrant team of over 800 colleagues. Join us to help shape the future of retail through data and AI, tackling complex challenges at scale and creating measurable impact.

Experience
- Passion for driving business impact through Operational Research methods
- Experience working with mathematical modelling libraries/platforms and solvers
- Practical application of operational research techniques to deliver measurable business value or a strong publication record relevant to industry
- Familiarity with Agile methodologies (preferably Kanban)
- Basic proficiency in SQL and Python
- Experience with software engineering best practices including version control, CI/CD, and testing

About you
- Excellent business acumen, commercial awareness, and judgement
- Ability to translate real-life problems into mathematical models (linear, non-linear, stochastic, etc.)
- Broad knowledge of mathematical optimisation, simulation techniques, and solution methods
- Strong communication skills to tell engaging stories and influence business stakeholders using non-technical language
- Ability to develop and maintain relationships with key internal customers and product owners

Qualifications
- Master’s or PhD in a relevant quantitative field such as mathematics or operational research preferred
- Equivalent industry experience or a related scientific/engineering degree also encouraged to apply