Deloitte’s Converge ,CONSUMER team is seeking an experienced Applied Numerical Optimization Expert to join as a Manager in Bengaluru. If you possess deep expertise in Mixed Integer Programming (MIP), Linear Programming (LP), Python, and commercial solvers like Gurobi, this is a prime opportunity to lead the development of enterprise-scale optimization solutions that drive profitability for consumer-focused businesses.
✨ Job Title: Data Scientist – Manager (Optimization)
🏢 Company Name: Deloitte
📍 Location: Bengaluru, India (Also noted as possible locations: Hyderabad/Kolkata/Chennai/Pune)
💼 Job Type: Full-Time, Permanent
💰 Salary / Package: Not Specified
📝 Key Responsibilities:
- Develop and implement optimization models using MIP, LP, and derivative-free optimization techniques.
- Formulate and solve complex optimization problems to meet client business objectives.
- Test, validate, and ensure the scalability and performance of optimization solutions.
- Utilize Python for developing, testing, and deploying optimization algorithms.
- Integrate optimization models with existing client systems and workflows.
- Lead cross-functional and global teams, providing technical guidance and mentorship to junior members.
🎓 Qualifications & Required Skills:
- Master’s or Ph.D. in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related field (or equivalent experience).
- Minimum of 5+ years of professional experience in numerical optimization.
- Strong expertise in Mixed Integer Programming (MIP), Linear Programming (LP), and derivative-free optimization.
- Proven experience with optimization problem formulation and solution scalability testing.
- Proficiency in Python and familiarity with commercial optimization solvers like Gurobi or IPOPT.
📈 Experience Level: Manager (5–7 Years)