We are looking for a Data Scientist to develop and deploy advanced analytics and optimisation solutions in a manufacturing environment. The role involves applying modelling, optimisation, and simulation techniques to improve operational efficiency and deliver production-ready solutions.
Key Responsibilities
- Apply exploration-exploitation methods and optimisation techniques (surrogate models, Bayesian optimisation, imitation learning).
- Build dynamic feedback control models and stochastic simulation models.
- Develop and solve Linear Programming and other optimisation problems.
- Deliver end-to-end, productionised analytical solutions using MVP/test-and-learn approaches.
- Apply strong coding practices, version control, CI/CD, and maintain analytics infrastructure in Azure (including Databricks).
- Work with cross-functional teams to define problems, test solutions, and implement improvements.
Qualifications.
- Strong skills in optimisation, simulation, or machine learning.
- Proficient in Python and cloud platforms (Azure preferred).
Randstad Technologies is acting as an Employment Business in relation to this vacancy.