Job Description Summary
The Data Science Specialist will work in a team to develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace under the guidance of senior team members. In this role, as part of the Data Science & AI team, the candidate will contribute to the development and deployment of modern machine learning, artificial intelligence, statistical & probabilistic methods, operations research, semantic analysis etc. for finding structure in large data sets within the Finance domain of GE Aerospace.
Job Description
Company Overview
Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!
Site Overview
Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing
Role Overview
The Data Scientist will be responsible to work on data science projects under the supervision of senior team members and deliver business outcomes. Key responsibilities include –
Development of data science models, including artificial intelligence and machine learning.
Work alongside data scientists, data engineers, software developers, program managers, product owners and functional stakeholders to translate algorithms into viable products and services.
Work in technical teams in development, deployment, and application of artificial intelligence, machine learning, applied analytics, predictive analytics, and prescriptive analytics.
Perform exploratory and targeted data analysis using descriptive statistics and other methods.
Generate reports, annotated code, and other projects artifacts to document, archive, and communicate the work and outcomes.
Share and discuss findings with team members.
The Ideal Candidate:
Required Qualifications:
B.Tech / B.E. or an equivalent Bachelor's degree in Artificial Intelligence, Machine Learning, Computer Science, Applied Statistics or a related field
Proficiency in Python (mandatory).
Demonstrated skill and hands-on experience of implementing GenAI solutions (including including fine-tuning, prompt engineering, and leveraging pre-trained models).
Familiarity with cloud platforms (e.g., AWS, Azure, Databricks etc.) and their AI/ML services.
Demonstrated skill in data quality assessment, data cleaning & pre-processing.
Demonstrated skill in the use of artificial intelligence, machine learning and applied analytics methods for solving business problems.
Demonstrated skill in data visualization and storytelling for an audience of stakeholders.
Has a basic understanding & awareness of GE Aerospace business and how the solutions they are developing create value.
Has a basic understanding & awareness of Finance functions (across domains of FP&A, Controllership, Treasury, Tax, Risk, Cost Management etc.) and how to implement AI solutions for these domains.
Desired Characteristics:
Demonstrates Problem Solving mindset
Collaborative & Change-Agent
Strong communication and interpersonal skills
Curious & Creative with understanding of latest technology advancements in AI
Demonstrated awareness of how to operate in a cross functional team setting
Influences within peer group
At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.
Additional Information
Relocation Assistance Provided: Yes
