Operations Research Intern

About Impact Analytics

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention. Here’s a link to our website: www.impactanalytics.co.

The impact that you will be making

We are looking for a motivated Operations Research Intern to join our data science team and contribute to solving real-world, data-driven business problems. In this role, you will assist in developing and supporting optimization applications across our product suite.

You will work closely with Business Analysts, software developers, and senior data scientists to design and implement mathematical optimization-based solutions for retail and supply chain use cases.

This internship offers hands-on exposure to large-scale optimization problems and the opportunity to work on live product environments.

What This Role Entail

• Assist in building and testing optimization models for business problems
• Support the design of algorithms for inventory, pricing, and supply chain optimization
• Help implement and validate mathematical models under guidance from senior team members
• Participate in research initiatives in Optimization and Machine Learning
• Support debugging, testing, and maintenance of deployed optimization applications
• Document models, assumptions, and results clearly
  
  

• 0–1 year of experience (including academic projects/internships) in Operations Research or Mathematical Optimization
• Strong understanding of Linear Programming, Integer Programming, and basic optimization techniques
• Exposure to optimization solvers such as CPLEX, Gurobi, or open-source solvers (through coursework or projects)
• Academic or project experience in Retail / Supply Chain optimization (preferred but not mandatory)
• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Industrial Engineering, Operations Research, Statistics, or related fields
• Proficiency in at least one programming language such as Python, C++, or C#
• Eagerness to learn and work in a fast-paced product environment
• Basic understanding of version control (Git)
• Strong analytical thinking and problem-solving skills
  
  

• An opportunity to be part of some of the best enterprise SaaS products to be built out of India.
• Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions.
• A flat, collegial work environment, with a work hard, play hard attitude.
• A platform for rapid growth if you are willing to try new things without fear of failure.
• Remuneration with best-in-class industry standards with generous health insurance cover
  
  

• Ranked as one of Americas Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
• Ranked as one of Americas Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
• Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
• Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.