Data Scientist

**Role: 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. **Key Responsibilities** * 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. **Mandatory Skills (Hard Requirements)** * Strong hands\-on experience in Optimization models (must\-have): * Linear Programming (LP) * Mixed Integer Programming (MIP) * 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. **Good\-to\-Have Skills** * 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. **Education Qualification** **Mandatory:** * 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. **Experience Expectations** * 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.