About The ePlane Company

The ePlane Company is at the forefront of India's urban air mobility revolution. Incubated at IIT Madras, we are a deep-tech startup dedicated to designing and building the world's most compact electric flying taxi. Our mission is to make door-to-door flying a reality, drastically reducing commute times and decongesting our cities for a cleaner, greener future. We're a passionate team of engineers, designers, and visionaries working on cutting-edge technology, and we're looking for brilliant minds to help us take flight.

Chart the Course for the Future of Flight

Lead the development to build demand modelling and network-level analytics that power mobility platforms. Ride-hailing platforms have solved route-level demand forecasting, origin-destination pair analysis, network elasticity, and real-time demand signal extraction at a scale that aviation market research has historically not looked towards. We are looking for someone who brings that analytical sophistication into the aviation context.

This position requires a deep quantitative background in high-frequency mobility networks (Ride-hailing/Aviation). You will be responsible for predicting the impact our aircrafts will have in different geographies and regions of the world. This position is a combined role between technical and strategy/BD

Roles and Responsibilities

- Build and own complex, multi-modal demand models to simulate passenger flow and network elasticity, and fleet dynamics.

- Utilize historical data and external variables to forecast market penetration and route-specific demand.

- Analyse market share dynamics and pricing strategies from traditional airlines and ground transportation.

- Define the Go-to-Market geographical sequence based on data-driven demand clusters.

- Maintain the highest standards for code quality,



including conducting rigorous code reviews, developing comprehensive unit tests, and producing clear, thorough documentation.

Requirements

Required Qualifications

- 7+ years of professional experience in ridehailing demand modelling or airliners with genuine depth in quantitative demand modelling

- Proven track record in Demand Modeling and Supply-Demand Balancing at a network scale.

- Proven understanding of fundamental data structures and the ability to apply them to solve complex problems.

- Hands-on experience developing and implementing optimization-based solutions using libraries such as NLopt, Ceres Solver, g2o, or similar.

- Ability to oversee and peer-review high-complexity optimization frameworks

- Proficiency in statistical modelling with the ability to build and run regression models, not just use pre-built tools

- Comfort with large, messy, multi-source datasets

- Experience with Monte Carlo simulation or probabilistic forecasting

Preferred Qualifications

- Experience with contemporary software development methodologies, including Agile, CI/CD pipelines, and version control (Git).

- Experience with GDP-elasticity or econometric demand forecasting

- Rock-solid understanding of mathematics, particularly linear algebra, multivariate calculus, differential equations, probability theory

- Aviation industry exposure like airline revenue management, OEM market research, IATA economics, or aviation consultancy

- Familiarity with fleet databases

- Understanding of Multimodal Elasticity

Benefits

What We Offer

- The opportunity to work on a groundbreaking product that will redefine urban transportation.

- A dynamic, fast-paced, and collaborative work environment with a brilliant and passionate team.

- Competitive salary and benefits.

- A culture of innovation where your ideas can directly impact the future of flight

📌 Technical Head - Market Research (Chengalpattu)
🏢 Ubifly Technologies
📍 Chengalpattu