Job description

Job Description
Role Purpose We are seeking a highly experienced Data Scientist with deep expertise in Operations Research to join our advanced analytics team. In this role, you will lead the formulation and solution of complex optimization and analytical problems across domains such as Supply Chain, Retail, Telecom, and other industries. You will work on large-scale data-driven decision systems, combining optimization, simulation, and machine learning techniques to deliver measurable business impact. The ideal candidate will bring robust algorithmic thinking, hands-on modeling experience, and the ability to deploy scalable solutions. ͏ Experience

Requirements:
10+ years of relevant experience in Data Science with strong focus on Operations Research Proven experience across multiple domains: Supply Chain (network design, inventory, logistics) Retail (pricing, assortment, demand planning) Telecom (network optimization, capacity planning) Hands-on experience solving large-scale optimization problems in production environments Experience with both exact solvers and heuristic approaches for complex problems Demonstrated ability to translate business problems into mathematical formulations Strong stakeholder communication and ability to explain complex models Experience mentoring teams or leading OR initiatives

Key Responsibilities
Lead end-to-end design and implementation of Operations Research and advanced analytics solutions across multiple domains. Formulate real-world business problems into mathematical optimization models. Develop and deploy large-scale optimization models for: Supply chain network design, inventory optimization, routing, and scheduling.



Apply appropriate algorithmic techniques (exact, heuristic, stochastic) based on problem complexity and scale. Perform simulation and scenario analysis to support decision-making under uncertainty. Integrate forecasting models with optimization systems. Collaborate with cross-functional stakeholders to translate business requirements into analytical solutions. Drive production deployment using MLOps/Optimization Ops practices. Mentor junior team members on OR methodologies and best practices. Qualifications and

Skills:
Core Data Science & Technical

Skills:
Strong foundation in Data Science, Machine Learning, and Statistics Advanced proficiency in Python (Pandas, NumPy, SciPy, Scikit-learn) Experience with OR and optimization tools (Pyomo, PuLP, OR-Tools, CVXPY, Gurobi, CPLEX Experience with data engineering (SQL, ETL) and cloud platforms is a plus ͏ Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % ͏ ͏ Mandatory

Skills:
Data Science .

Experience:
8-10 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA
- as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

📌 DATA SCIENTIST LEAD (Bengaluru)
🏢 Wipro
📍 Bengaluru