Senior Engineer - Data Science & Analytics

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)