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