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.
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