招聘

Senior Engineer - Data Science & Analytics
IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli
·
On-site
·
Full-time
·
1mo ago
必备技能
Data Science
Statistical analysis
Machine Learning
Python
SQL
Weibull analysis
Monte Carlo simulations
Date Posted:
2026-02-19
Country:
India
Location:
IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli
Position Role Type:
Hybrid
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 data science & analytics engineer in our Data science, Systems, Analytics & Methods team at the Pratt & Whitney **India Engineering Center (IEC)**in Bengaluru India. The role will span working with multi-disciplinary organizations including system level, module level and component level across the product life cycle. Main responsibilities include providing insights from existing engine data and delivering data-based decisions **using forecasting models, statistical models - Weibull **that can be embedded in our current workflows.
Key Responsibilities:
· Work with engineering organization leads to
· Leverage data collected on development and fielded engines to provide insights and better decision making
· Identify gaps in current data-based processes and tools and provide direction for tool development team
· Define, prototype, test, deploy and monitor statistical/machine learning models to provide data-based predictions and forecasts