Randstad Digital
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown" and a pay rate of "unknown," located in a manufacturing environment. Key skills include optimisation, simulation, Python, and Azure. Experience in machine learning is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
December 10, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Cloud #Databricks #Data Science #Version Control #Azure #Python #ML (Machine Learning) #Programming
Role description
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).
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).
