Data Science Manager - Simulation and Digital Twins

Tesco Technology
Welwyn Garden City
1 month ago
Applications closed

Related Jobs

View all jobs

Data Science Manager – Property Tech – London

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

About the role

Here at Tesco, we focus on solving complex business problems and developing data products that can be deployed at scale to our customers. Our core work involves developing data products that can be deployed at scale both internally and externally and our focus spans across multiple areas including Stores, Online, Fulfilment, Marketing and Clubcard. We are looking for Data Science Manager to help expand the impact simulation and digital twins at Tesco. On any day you could be supporting the automation of decision-making across the business; optimising processes for key business objectives; or conducting deep-dive exploratory analysis to inform strategic decision-making. Working within a multidisciplinary team you will help bring Simulation and Digital Twin capabilities at the scale of Tesco operations, working across all the business areas to champion simulation and develop new simulation projects.


You will be responsible

  • Line manage Data Scientists and mentor/coach the wider team in best approaches to simulation models and the development of relevant tools
  • Support the teams in designing and implementing reusable components for simulation model development and digital twins’ creation
  • Translate ambiguous business challenges into data science problems and applications
  • Work end-to-end on Data Science developments, contributing to all aspects of the project lifecycle which result in productionised data products by engaging and influencing a wide range of stakeholders

You will need

  • Experience of designing, implementing, and analysing simulations in different simulation paradigms, Agent-Based Modelling, Discrete Event Simulation, etc
  • Experience in one or more of the following fields; Supply Chain or Logistics Simulation, Co-Simulation and FMI, Simulation of Complex Systems, Calibration of simulation models from big data sets
  • Strong programming skills (Python or Java are preferred) as well as familiarity with software engineering best practices (such as version control, OOP, unit testing, CI/CD) and cloud technologies.

Whats in it for you?

We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. Click Here to find out more!



  • Annual bonus scheme of up to 20% of base salary
  • Holiday starting at 25 days plus a personal day (plus Bank holidays)
  • Private medical insurance
  • 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave
  • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing

About Us

Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.


We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We’re committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.


We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.


Beware of Recruitment Fraud

We never ask for money during our hiring process. Any request for payment made in the name of Tesco is not legitimate. Please report suspicious activity to


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.