Senior Principal Consultant, Data Scientist-Aerospace & Defense
Listed on 2026-09-23
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IT/Tech
AI Engineer (Applied/Software), Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Overview
At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform m large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on Linked In, X, You Tube, and Facebook.
Inviting applications for the role of Senior Principal Consultant, Data Scientist-Aerospace & Defense
Job Title:
Senior Principal Consultant, Data Scientist
Location:
Montreal, Canada or Hamilton, Canada
Type of Hire:
Full-time
Job Description
In this role, We are seeking an experienced Senior Data Scientist with Project Management expertise to lead AI/ML initiatives in Aerospace & Defense sector (Commercial, Business, Helicopter, Defense, Cargo, Leasing etc.).
Responsibilities- Lead and manage end-to-end delivery of AI/ML and data science projects across aerospace domain.
- Perform advanced market intelligence analysis, including demand forecasting, route profitability, and fleet lifecycle optimization
- Integrate external datasets (OEM data, Diio schedules, macroeconomic indicators) into analytical models.
- Design and develop advanced statistical and machine learning models for:
Short-term, mid-term, and long-term fleet & departures forecasting - Drive project execution using industry-standard project management tools (e.g., Agile, Scrum, Jira).
- Architect, build, and optimize end-to-end data pipelines (ETL/ELT) using tools such as Python, SQL, Spark, or AWS redshift.
- Design and develop AI-powered conversational agents/chatbots (using NLP/LLMs) to enable stakeholders to interact with data through a chat interface.
- Design and deploy machine learning models (predictive, prescriptive, and forecasting) using frameworks like Scikit-learn, Tensor Flow, or PyTorch.
- Develop and manage cloud-native solutions on AWS (S3, Lambda, Glue, Sage Maker, Redshift) for scalable data processing and model deployment.
- Build and maintain CI/CD pipelines (e.g., Jenkins, Git Hub Actions) for automated testing, integration, and deployment of data and ML workflows.
- Provide clear, data-driven storytelling through visualization tools (e.g., Tableau, Power BI).
- Contribute to web-based applications and interactive dashboards using modern frameworks (e.g., HTML/CSS, Java Script, React, Flask, Streamlit).
- Support Investor Relations and executive presentations with advanced analytics, scenario modeling, and performance metrics.
- Automate report generation and distribution pipelines for consistent and timely business reporting.
Minimum Qualifications
- Master’s degree in Science
- Certified Project manager and AI certifications
- Generative AI and LLM model integration knowledge
- Project manager and people management skills to handle top leaderships team and internal
- Strong communication and collaboration skills
- Experience managing global teams, driving data science and business…
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