Lead Decision Scientist - Applied Optimization and Simulation 2025- UK

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Requirements:

• MS/PhD in Operations Research, Industrial Engineering, Computer Science, Mathematics, Engineering, or other STEM-related field.
• Proficiency in a programming language such as Python, and/or proficiency in an optimization platform, AIMMS/AMPL/GAMS/Pyomo.
• Practical experience with writing linear programming and mixed integer programming models and in open-source solvers and commercial solvers, such as Gurobi, CPLEX or XPRESS.
• Experienced in simulation techniques and tools such as Arena, Simio, Anylogic, JaamSim or Simpy.
• Excellent communication and teamwork skills.
• Strong analytical and problem-solving skills.
• 3+ years of practical data science experience.
• 3+ years of consulting experience (preferred).
• Familiar with data visualization platforms such as PowerBI, Tableau or Sigma.
• Knowledge of tools like Databricks, Snowflake, Dataiku, AWS, Sagemaker is a plus.
• Oil and gas industry experience is a plus.

Responsibilities:

• Become a trusted advisor working with clients to design end-to-end optimization and simulation solutions.
• Write code in SQL, Python and R following software engineering best practices.
• Lead small teams and work as an individual contributor throughout the data science lifecycle – from problem definition to model automation and deployment.
• Support the development of client relationships and lead internal value-driving initiatives.