EY GDS Consulting AI And DATA Data Scientist Opt Manager KA 560048

EY · Consulting & Professional Services

Bengaluru, India
On-site
Posted yesterday
Apply by 23 Oct
Data & AI

About the job

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Data Scientist – Optimisation

Role Overview

Design and scale large optimisation models for strategic mine planning, solving complex scheduling, blending, and capacity problems to support long-term operational decisions

Key Responsibilities

Develop and maintain with linear programming/ mixed integer programming/ network/flow-based optimisation models

Model constraints (capacity, sequencing, blending, costs, boundaries, etc.)

Integrate and tune optimisation solvers

Diagnose infeasibility, performance, and stability issues

Validate outputs via testing, cross-checks, and alternative formulations

Collaborate with product and domain teams to translate requirements into models

Own solution correctness and justify optimisation outputs.

Required Skills

Strong background in Operations Research / Optimisation and mining

Experience with linear programming and mixed integer programming in production environments

Proven record of hands-on experience with commercial solvers (Gurobi, AMPL, Maroma)

Experience working with large, complex datasets and performance‑critical optimisation problems

Strong Python for model development and integration

Experience with large-scale optimisation problems

Core Tech Stack

Solvers: Gurobi, AMPL, Maroma

Techniques: LP, MIP, Network/Flow optimisation, Constraint modelling

Languages: Python, AMPL

Nice to Have

Familiarity with Mine planning or heavy industry optimisation

Exposure to Large scheduling problems

API / platform integration experience

Exposure to stochastic optimisation

Exposure to C#/.NET

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Apply on EY