We are looking for a highly skilled Data Scientist with a strong focus on linear
optimization and mathematical modeling. The role involves designing, developing,
validating, and optimizing optimization models and integrating them into an existing
optimization pipeline. The ideal candidate will work closely with stakeholders and
developers to deliver data-driven solutions.
Key Responsibilities
Develop and validate linear optimization models
Optimize and maintain existing models
Implement models using Python and Gurobi
Collaborate with stakeholders and engineering teams
Communicate analytical insights to non-technical audiences
Must-have Skills
6–10 years of experience in data science / optimization
Strong experience in Python and Gurobi
Hands-on experience with linear optimization
Experience working with large datasets
Familiarity with Git and Excel
Degree in a quantitative field (CS, Math, Statistics, Economics)
Good to Have skills:
SQL, Solver framework
Logistics / supply-chain domain experience
Additional Information
Experience in logistics or supply chain optimization is an advantage.
Creativity and innovation in applying data to solve business problems.
Willingness to continuously learn and adapt to recent technologies and methods.
LI-PS18
Your future duties and responsibilities
Required qualifications to be successful in this role
Together, as owners, let’s turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients
📌 Data Scientist – Optimization (Bengaluru)
🏢 CGI
📍 Bengaluru
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.