Pratt & Whitney is seeking data science & analytics engineer in our Data science, 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, computer vision, and LLM models 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
- Understand and recommend appropriate Data Analytics methods and software solutions
- Prepare and maintain documentation of statistical, forecasting, machine learning, computer vision, and Large Language models and tools.
- Collaborate with other methods and tool team members and stakeholders to identify continuous improvement opportunities
- Works autonomously with limited oversight & may provide guidance to lower experienced professionals with tasks and assignments.
- Exhibit the ownership for the defined milestones in terms of schedules & quality of deliverables
Required Qualifications:
- Bachelor s degree (with 8+ year experience) or Advanced degree (with 7+ year experience) in Data Science, Engineering, Mathematics or Statistics
- Experience in statistical methods
- Experience in Machine learning tools, Python packages, SQL, Power BI/Qlik
- Experience with data mining
- Good communication skills and working as a team player
- Possesses excellent judgement and professional maturity
- Strong learner and provides creative solutions
Preferred Qualifications:
- Experience in aerospace domain.
- Experience in Cloud computing, AWS, Databricks
- Experience in Process certification (six sigma, Lean or agile)
