Senior Engineer - Data Science and Analytics

Senior Engineer - Data Science & Analytics

Pratt & Whitney is working to once again transform the future of flight—designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious.

Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future.

At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?

Job Description :

Pratt & Whitney is seeking a Senior Data Science & Analytics Engineer to join our Data Science, Analytics & Methods team at the Pratt & Whitney India Engineering Center (IEC) in Bengaluru, India. The role involves collaboration with multi-disciplinary organizations, including system-level, module-level, and component-level teams, across the product life cycle.

The primary focus of this role is to leverage Large Language Models (LLMs) for developing and enhancing knowledge management chatbots and LLM agents . These will advance engineering processes by driving automation and process improvements.

Key Responsibilities :

• Collaborate with engineering organization leads to identify opportunities for leveraging data science and analytics to enhance operations.
• Use LLMs and cloud technologies to develop, deploy, and improve processes related to data retrieval, process automation, and process optimization.
• Define, prototype, test / validate, deploy, and monitor large language models (LLMs) and LLM agents to support engineering applications and drive process improvements.
• Recommend and implement appropriate DevOps pipelines, cloud technologies, and software solutions to support scalable and efficient deployments.
• Prepare and maintain comprehensive documentation for machine learning models, LLMs, and associated tools.
• Collaborate with other teams and stakeholders to identify and implement continuous improvement initiatives.
• Take ownership of assigned project milestones, ensuring adherence to schedules and quality standards.
• Provide guidance to less-experienced professionals and act as a resource for technical expertise where needed.

Required Qualifications :

Preferred Qualifications :