Data Scientist - Simulation and Digital Twins - Welwyn Garden City, United Kingdom of Great Britain and Northern Ireland

Overview

As a Simulation Data Scientist at Tesco, you will develop and connect simulation models to understand and improve operations across the business, from supplier to shelf. You will contribute to distributed simulations and select appropriate model fidelity to fit business questions, data, and compute constraints. Your work will validate models with operational data, run scenario experiments, and inform decisions, while embracing agile practices and reliable software delivery.

Pay / Benefits

• Annual bonus up to 20%
• 25 days holiday + personal day
• Private medical insurance
• 26 weeks maternity/adoption leave
• 6 weeks paid paternity leave
• 24/7 virtual GP and Employee Assistance Programme

Responsibilities

• Understand operational problems with colleagues and define what the simulation must represent, test and measure
• Build and maintain simulation models using Python and related tools, leveraging simulation and data science skills
• Create models at varying levels of detail and guide approach based on accuracy, data, and computing constraints
• Connect models to enable joint execution across distributed or federated environments and ensure data exchange
• Develop awareness of interoperability standards for connecting simulations and apply with guidance
• Prepare and analyse operational data to set up models and represent real-world variation
• Validate models by comparing results with real-world data and feedback from experts
• Run repeatable experiments to assess operational changes (e.g., supply chain scenarios) and compare effects on capacity, cost, service, and resources
• Explain findings, including assumptions, uncertainty, and limitations of models
• Work in an agile team to plan and deliver in manageable steps, provide feedback, and raise issues early
• Write clear, maintainable code and contribute to code reviews, version control, automated testing, and reliable releases
• Take responsibility for agreed tasks, seek support when needed, and develop technical skills

Key requirements

• Python programming with clear, structured, testable code
• Simulation modelling and representing real-world processes at different levels of detail
• Data analysis and basic statistics to prepare inputs and interpret results
• Understanding of data exchange between models or software components
• Familiarity with version control (Git) and automated testing/software delivery practices
• Ability to explain technical work clearly and collaborate
• Organised problem solving and agile delivery
• Building/adapting simulation models and using object-oriented programming and data science methods
• Working with data to develop, test or evaluate models and communicate findings
• Quantitative background (engineering, CS, math, physics, OR) or equivalent practical experience
• Experience connecting simulations in distributed/federated environments is valuable
• Exposure to simulation interoperability standards and automated testing/deployment is useful but not essential

• clear communication
• collaboration
• organised/problem-solving
• Python
• Simulation modelling
• Data analysis

Full job description from WhatJobs. Apply for this role →