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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?

Afterspanet & Sustainment Engineering (ASE), based in East Hartford Connecticut, is looking for a Data Science & Analytics expert to join our team at the Pratt & Whitney India Engineering Center (IEC) in Bengaluru India.  This role will be responsible for the development, deployment, and support of game-changing repair/maintenance machine learning and statistical models that provide forecasting, prediction and prescriptive solutions that can be embedded into our software and workflows.  These solutions will enable Pratt & Whitney to continually push the state of the art in gas turbine engine repairs and reduce the cost of maintaining our parts, components, and engines.

Key Responsibilities:

        Collaborate with engineering organization leads to identify opportunities for leveraging data science and analytics to enhance operations.

        Leverage ASE’s afterspanet data to provide insights and better decision making. Build PowerBI dashboards

        Work with experienced engineers to define, prototype, test, deploy and monitor machine learning and statistical models to provide predictions and forecasts

        Understand, explain, and recommend appropriate Machine Learning/Data Analytics methods and software solutions

        Collaborate with other teams and stakeholders to identify and implement continuous improvement initiatives.

        Manage time effectively to meet project deadlines

Required Qualifications:

• Bachelor’s degree (with 4+ year experience) or Advanced degree (with 2+ year experience) in Data Science, Engineering, Mathematics or Statistics
• 2+ years of experience building machine learning/statistical models
• 2+ years of experience in SQL
• Proficiency in machine learning tools and programming languages such as Python.
• Strong communication skills and the ability to work effectively as part of a team.
• Demonstrates excellent judgment and professional maturity.
• Quick learner with a creative problem-solving mindset

Preferred Qualifications:

• Experience in aerospace domain.
• Experience developing PowerBI dashboards
• Experience with Databricks
• Familiarity with AWS cloud computing platforms

In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment. This role is:

• Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. This means that responsibilities of the job need to be performed onsite on a regular basis                        

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite, commuting to and from the assigned site is the employee’s personal responsibility

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.  

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