77 Operations Research jobs in India

• Develop and implement mathematical models to solve complex business and operational problems.
• Utilize statistical analysis and data mining techniques to extract insights from large datasets.
• Design and conduct simulations to evaluate the impact of different strategies and scenarios.
• Optimize processes related to supply chain, logistics, production, and resource allocation.
• Develop forecasting models to predict demand, costs, and performance metrics.
• Collaborate with cross-functional teams to understand challenges and define analytical requirements.
• Communicate complex findings and recommendations effectively to diverse audiences.
• Build and maintain analytical tools and dashboards for performance monitoring.
• Stay current with advancements in operations research, analytics, and relevant technologies.

• Master's degree or PhD in Operations Research, Industrial Engineering, Mathematics, Statistics, Computer Science, or a related quantitative field.
• Minimum of 4 years of experience applying operations research techniques in a business setting.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with optimization solvers (e.g., CPLEX, Gurobi) and simulation software.
• Strong understanding of statistical modeling, forecasting, and machine learning concepts.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.

About BQP

BQP is building the next-generation simulation platform, BQPhy® , designed to solve the most complex computational challenges in aerospace, space, and defense. The platform integrates advanced solvers with proprietary quantum-inspired algorithms, delivering performance beyond the capabilities of modern GPUs. Running on classical high-performance computing systems, BQPhy® has demonstrated up to 10X computational advantages  for aerospace and defense clients. The platform is built to transition seamlessly to quantum-native hardware as it matures, enabling sustained technical superiority and reduced development costs across industries.

About this Role

We are advancing the future of space technologies by integrating cutting-edge optimization techniques into real-world aerospace applications. From trajectory design and satellite constellation management to design optimization of space systems, our team focuses on solving some of the most challenging problems in the industry. 

We are looking for a motivated Optimization Applications Intern who is passionate about applying mathematical optimization, algorithms, and computational intelligence to space-related problems. 

Intern Profile and Required Competencies

• Support the development and testing of optimization models for space industry applications (e.g., trajectory planning, satellite scheduling, structural design, resource allocation).  
• Implement and benchmark algorithms (classical optimization, evolutionary algorithms, metaheuristics, or mathematical programming). 
• Contribute to simulation studies and analyze trade-offs in multi-objective optimization problems. 
• Work with datasets from aerospace systems to validate and refine models. 
• Strong foundation in optimization techniques (linear, nonlinear, integer programming, evolutionary algorithms, or heuristics). 
• Programming proficiency in Python (experience with libraries such as Pyomo, CXYPY, SciPy, DEAP, or OR-Tools ), MATLAB and C++. 
• Solid mathematical background (operations research, multi-objective optimization, numerical methods). 
• Strong analytical and problem-solving skills. 
• Collaborate with the R&D team to explore novel approaches (e.g., quantum-inspired optimization). 
• Document research findings and present results to technical and non-technical stakeholders. 

At Abacus.AI , we are building advanced AI solutions that solve real-world business problems. Our optimization pipelines power critical customer operations, and we’re looking for data scientists who are passionate about turning complex challenges into elegant mathematical solutions.

Role Overview:

We are seeking a Data Scientist with strong expertise in operations research to design and implement large-scale optimization pipelines for customer use cases. This role combines technical depth in applied optimization with the ability to understand and collaborate with customers directly.

Responsibilities:

• Develop and deploy optimization models (LP, MIP, heuristics, constraint programming) for complex real-world problems.
• Build scalable optimization pipelines with Gurobi (or similar solvers) and Python.
• Work closely with customers to define problems, gather requirements, and deliver impactful solutions.
• Communicate findings and model outcomes clearly to both technical and non-technical stakeholders.
• Stay current with research in operations research and optimization methods.

Requirements:

• 3+ years of experience in optimization, operations research, or applied data science.
• Strong experience with Gurobi (preferred), CPLEX, or OR-Tools.
• Solid mathematical foundation in optimization and problem-solving.
• Excellent communication skills and the ability to interact with customers directly.
• Advanced degree (MS/PhD) in Operations Research, Industrial Eng, Applied Math, or related field.

• Develop, implement, and maintain sophisticated mathematical models for optimization, forecasting, and simulation.
• Analyze large datasets to identify trends, patterns, and opportunities for process improvement and efficiency gains.
• Design and execute simulation studies to evaluate the performance of different operational strategies and systems.
• Apply statistical analysis techniques to support decision-making and assess the impact of implemented changes.
• Collaborate with business stakeholders across various departments (e.g., supply chain, finance, marketing) to understand their challenges and define analytical projects.
• Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences through reports and presentations.
• Develop dashboards and visualizations to track key performance indicators and model outputs.
• Stay abreast of the latest advancements in operations research, data science, and machine learning techniques.
• Mentor junior analysts and contribute to the development of analytical capabilities within the organization.
• Identify and implement new tools and technologies to enhance analytical methodologies and workflows.
• Evaluate the return on investment for proposed operational improvements derived from analytical insights.
• Ensure the integrity and accuracy of data used in models and analyses.
• Contribute to strategic planning by providing data-driven insights and recommendations for business growth and efficiency.

• Master's or Ph.D. in Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or a related quantitative field.
• Minimum of 5-7 years of relevant experience in operations research, advanced analytics, or data science.
• Strong proficiency in optimization modeling (e.g., linear programming, integer programming), simulation, and statistical analysis.
• Expertise in programming languages commonly used in analytics, such as Python or R, and SQL.
• Experience with optimization solvers (e.g., CPLEX, Gurobi) and simulation software.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to influence decision-making.
• Experience in translating business problems into quantitative models.
• Ability to work independently and collaboratively in a team environment.
• Familiarity with big data technologies and cloud platforms is a plus.

ORMAE is hiring Lead OR Scientist

Who we are:

- ORAME is a successful Tech start-up founded and headed by Guinness World Record Holder Dr. Amit Garg an IIT Delhi Graduate who has won medals for India in Global Math Championships. ORMAE has 50+ Global Clients including 12+ $1B+ Clients.

- ORMAE has helped them on 100+ Optimization & Data Science Projects across the globe including USA, Germany, UAE, Saudi Arabia, Japan & India. ORMAE is one of the very few Operations Research & Data Science consulting company, mainly focus in converting groundbreaking digital business transformation ideas into innovative Optimization and Data Science solutions.

- Our services are extended to multiple areas like Supply Chain, logistics, health care, telecom, retail and many more.

Requirement:

- ORMAE is looking for a Lead OR Scientist with sound analytics background to deliver solutions for complex problems of our clients.

-This is a Leadership Role; the candidate will be expected to Lead and mentor a Team of OR Scientists

-One should have 6 plus years of working experience in designing and implementing complex/large scale optimization solutions.

- The scientist should have exposure to Operations Research algorithm design and implementation. Advanced analytics experience is preferred.

- Should have a strong interest and ability to solve mathematical modeling including column generation, cutting plane & LP tools like Cplex, Gurobi, GAMS, AMPL

-"AIMMS knowledge is preferred"

Skills :

-Should have mentored a Team of OR Scientists (OR) in the similar capacity

- Ability to understand the business problem and convert it as a mathematical model is preferred. Exposure to Optimization & statistical software like Cplex, Gurobi, Google OR tool, Arena, SAS, SPSS is preferred.

- Should have a scientific mindset and interest in Operation Research algorithms w.r.t routing optimization, mathematical modeling, meta-heuristics, heuristics, forecasting, simulation model, inventory optimization, supply chain management.

-Effective Client Management skills

Additional skills:

- Programming experience in Python/Java/C#/ C++/R of the optimization algorithm is preferred.

Education : Graduation or Masters in Operations Research, Computer Science (with operations research experience), Industrial Engineering, Statistics, Business Analytics, or a similar field from any premium institute.

Perks :

- Working with a young enthusiast team.

- A unique experience: Working on analytics to solve real-time problems.

- Working with reputed mathematician Dr. Amit Garg (Guinness World Record Holder) Flexible working hours, with a high potential OR Team.

What Is in it For Me ; Candidate Benefits :

- Meritocracy based Career Progression

- Global Exposure

- Livewire Environment

- Great Technical cross training & mentorship

- Happening start up - in the garden city of Bengaluru

If you find the job description aligned with your expertise and interests, please share your updated CV at

Introduction

We are looking for self driven individuals with a passion for solving Operations Research Problems using various techniques of Statistics, Machine Learning and AI/GenAI/Agentic AI. We, at Inquizity, offer clients assistance in their Operations through provision of End to End Supply Chain Planning and Automation solutions.

Our focus is Operations and hence includes areas such as Decision Support Systems in Operations such as Forecasting, Production Planning, Logistic Planning, Production Scheduling, Inventory Management etc, Analytics in the area of Operations such as Delivery Analytics, Sales Analytics Inventory Analytics.

Inquizity boasts of a strong team of professionals from institutions like IIM Ahmedabad, IIM Mumbai, IITs and NITs and we work with large organisations.

Role definition

The following would be the Role Definition to the best that can defined given that this is start-up.

Modelling Expertise and Experience

• The Role requires the candidate to understand the current Product with the company and create enhancements on the same based customer requirements
• The Role requires deep understanding of Linear Programming and Optimisation and Machine Learning and AI/GenAI and willingness and interest to continually improve on existing Models and create new Models.
• The Role requires the candidate to coordinate and liaise with Professors and Academicians of renowned institutes such as IIT/IIM
• The Role requires the candidate to translate Business Requirement to a Statistics Model / ML/AI.

Candidate profile

The profile of the candidate we are seeking is as follows:

• The Candidate should have 0-3 years of experience in the area of Applied Mathematics and Stats in the area of Operations Research
• The Candidate should be conversant with techniques such as Statistics, Python, C# etc.
• The Candidate should have a Bachelors / Masters degree in Engineering with Operations Research background, Bachelors/ Masters degree in Mathematics
• The Candidate should have good communication, analytical and presentation skills
• The Candidate should have experience, C#, Stastical model/Forecast generativeai / ai modeletc.
• The Candidate should be self-starter and have the ability to work in an unstructured, start-up environment