Data Scientist

Location: Waterside, Heathrow (Hybrid work and Travel to Europe occasionally)

We at Coforge are looking for Data Scientist in Waterside, Heathrow.

Candidate with strong optimization expertise to lead advanced analytical and optimization initiatives. The role will focus heavily on building, deploying, and scaling optimization models, which is a hard requirement from the Business Analytics (BA) team, given the nature of work planned for London.

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• Lead the design and development of optimization models (linear, non-linear, mixed-integer, stochastic, heuristic-based).
  
• Translate complex business problems into mathematical and optimization frameworks.
  
• Work closely with Business Analytics, Product, and Engineering teams to drive decision‑making.
  
• Develop end‑to‑end data science solutions: data exploration, feature engineering, modeling, validation, and deployment.
  
• Guide and review work of junior data scientists and analysts.
  
• Communicate model outcomes and trade‑offs clearly to senior stakeholders.
  
• Ensure scalability, performance, and robustness of models in production.
  

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• Strong hands‑on experience in Optimization models (must‑have):
  
• Constraint Optimization
  
• Network / Scheduling / Resource Optimization
  
• Proven experience applying optimization in real business scenarios, not just academic projects.
  
• Advanced proficiency in Python (Pyomo, PuLP, OR‑Tools, Gurobi, CPLEX, or similar).
  
• Strong foundations in statistics, mathematics, and algorithms.
  
• Experience working with large datasets and complex problem constraints.
  

Note: This role is not suitable for profile‑heavy ML / dashboard‑focused candidates without real optimization experience.

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• Exposure to simulation techniques and scenario modeling.
  
• Experience in industries like aviation, logistics, supply chain, pricing, operations research, or large‑scale planning.
  
• Cloud experience (AWS / Azure / GCP) for model deployment.
  
• Experience leading teams or acting as a technical mentor.
  

Mandatory:

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• Master’s degree or PhD in Data Science, Operations Research, Mathematics, Statistics, Computer Science, Engineering, or related field.
  
• Strong academic grounding in optimization / operations research preferred.
  

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• 10–12+ years in advanced analytics / data science roles.
  
• At least 4–6 years of hands‑on optimization modeling experience.
  
• Demonstrated ability to lead solution design, not just execute tasks.