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Production Analytics Scientist: Optimisation & Deployment
Job summary
A leading recruitment agency is seeking a Data Scientist to develop and deploy advanced analytics solutions in a manufacturing environment. You will apply optimisation techniques and model solutions to enhance operational efficiency. The ideal candidate should be proficient in Python and cloud platforms, especially Azure. This role involves working across teams to deliver improvements and implement production-ready solutions. Join us to drive impactful analytics in manufacturing.
Qualifications
- Strong skills in optimisation, simulation, or machine learning.
- Proficient in Python and cloud platforms (Azure preferred).
Responsibilities
- Apply exploration-exploitation methods and optimisation techniques.
- Build dynamic feedback control models and stochastic simulation models.
- Develop and solve Linear Programming and other optimisation problems.
- Deliver productionised analytical solutions using MVP/test-and-learn approaches.
- Maintain analytics infrastructure in Azure (including Databricks).
- Work with cross-functional teams to define problems and implement improvements.
Skills
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.