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

Position: Data Scientist - Simulation and Digital Twins - Welwyn Garden City, United Kingdom of Great Britain and Northern Ireland
About the role:

The Tesco Data Science team are looking for a Simulation Data Scientist to use simulation to help solve challenging problems across the business and our supply chain from supplier to shelf. At Tesco, our Data Science team focuses on modelling complex business problems and deploying data products  work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard.

This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world.

You will develop and connect simulation models to help Tesco understand, evaluate and improve operations, including supply chain, and assess proposed changes before implementation. Working with experienced colleagues, you will contribute to distributed simulations that bring together models of different processes and systems, developing awareness of relevant interoperability standards and approaches. You will build models at different levels of fidelity, learning to choose the appropriate detail for the business question, available data and computing needs.

The role will involve using operational data and scenario experiments to validate models, explore trade-offs and inform decisions. Follow agile delivery methods and contribute to continuous integration and delivery practices, including version control, automated testing and repeatable deployment, to help maintain reliable simulation tools.

The position will be based in our Welwyn Garden City campus.

What is 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.  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 (12 months service required at the qualifying date) 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. The above information is a shortened summary, refer to our policies for full details

You will be responsible for:
Working with colleagues to understand operational problems and agree what a simulation needs to represent, test and measure. Building and maintaining simulation models using Python and relevant tools, drawing on simulation and data science skills.

Creating models at different levels of detail, with guidance on choosing an approach that balances accuracy, available data and computing needs.

Helping connect models so they can run together and exchange information, including across different tools or computers in distributed or federated simulation environments.

Developing awareness of the standards and approaches used to connect simulations and applying them with support from experienced colleagues.

Preparing and analysing operational data to set up models, identify gaps and represent real-world variation.

Checking that models work as intended and comparing their results with real-world data and feedback from operational experts.

Running repeatable experiments to assess proposed operational changes, including supply chain scenarios, and compare effects on capacity, cost, service and resource use.

Explaining findings clearly, including the assumptions made, uncertainty in results and limitations of the models.

Working in an agile team to plan and deliver tasks in manageable steps, respond to feedback and…