Data Scientist

Overview

In this role you will apply advanced data science and operations research to optimise retail processes across pricing, supply chain, and digital domains. You will join the central Data Science Hub and deliver high-impact analytics on one of the industry’s largest retail datasets. You’ll build and maintain data-driven products that steer business decisions and value creation, collaborating with cross-functional teams. The role blends modelling, production-ready analytics, and knowledge-sharing to accelerate data-enabled transformation.

Pay / Benefits

• colleague discounts on shopping
• pensions and life cover
• performance bonus up to 10%
• annual holiday allowance with option to buy extra
• season ticket loans
• cycle to work scheme

Responsibilities

• Stakeholder management and storytelling to influence business decisions
• Identify and scope data science and operations research opportunities across the business
• Document business processes and define performance metrics
• Research, design and build decision models and algorithms
• Define data requirements and validate data
• Collaborate with engineering teams to ensure robust production architectures
• Design tests to quantify computational and business performance
• Lead team upskilling and share OR expertise across the community

Key requirements

• Passion for applying Operational Research to drive business impact
• Excellent business acumen and judgement
• Ability to translate real-life problems into mathematical models (linear, nonlinear, stochastic)
• Broad knowledge of mathematical optimisation and simulation techniques; exact and heuristic methods
• Experience with modelling libraries/platforms and solvers
• Strong collaboration and stakeholder communication skills

• Stakeholder management
• Business acumen
• Communication
• Operational Research methods
• Mathematical modelling and optimisation
• Simulation techniques

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