Data Scientist

Job-:
London, London, United Kingdom

Schedule:

Full time Posted:
Closes:
Contract Type:
Permanent Advertised Salary:
Competitive Plus Benefits Data Scientist - Operational Research – Hybrid Working This role is posted within the Marketing job family for internal system reasons, but the position itself sits in our central Data Science Hub (Data & Analytics). You’ll work on cross‑functional, high‑impact data science projects across areas including pricing, digital, supply chain and commercial—not marketing delivery.

What you’ll do:

We’re looking for a data science specialist with a particular interest in working on operations research problems. You’ll be working on one of the largest datasets in retail, delivering huge business impact, as part of a team that builds, deploys, and maintains cutting-edge data-products that drive competitive edge. Stakeholder management

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 Technical delivery

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 (Decision Ops) teams to align on robust production architectures that enable long-term support and iteration

Design tests that quantify the computational and business performance in both digital and physical domains

Coaching and Mentoring 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 of over 800 colleagues

What we’re looking for:

Academic profile

We typically look for candidates with a Master’s or PhD in a relevant quantitative field (e.g., maths or operational research). However, strong applicants with equivalent industry experience or a related scientific/engineering degree are also encouraged to apply.

Essential Criteria 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 - linear, non-linear, stochastic, etc.

Broad knowledge across a range of mathematical optimisation and simulation techniques, as well as exact and heuristic solution methods

Previous experience working with mathematical modelling libraries/platforms and solvers

Preferred experience

Practical experience applying operational research techniques to deliver measurable business value or a strong publication record, with significant relevance to industry applications

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 #Data And Analytics #Data Science#LI-CM1

Qualifications 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…