The GE Aerospace Data Science Specialist role is an exciting opportunity for candidates interested in Artificial Intelligence, Machine Learning, Generative AI, predictive analytics, and cloud-based data science solutions 🚀.
GE Aerospace is hiring Data Science Specialists in Bengaluru, Karnataka for its advanced engineering and research teams. This role focuses on solving real-world business and engineering challenges using machine learning, GenAI, data analytics, and cloud technologies.
Candidates with strong Python skills, AI/ML knowledge, cloud platform exposure, and interest in solving large-scale analytical problems may find this opportunity highly valuable.
If you are searching for Data Science Jobs Bengaluru, GenAI Jobs India, or Machine Learning Jobs, this role provides strong career growth opportunities in the aerospace and AI domain.
About GE Aerospace
GE Aerospace is one of the world’s leading aerospace companies known for advanced jet engines, aviation systems, and integrated aerospace technologies ✈️.
The company focuses on:
- Aviation innovation
- Artificial Intelligence
- Advanced engineering
- Predictive analytics
- Aerospace research
- Cloud-enabled analytics systems
The Bengaluru-based John F. Welch Technology Center (JFWTC) serves as GE Aerospace’s major multidisciplinary research and engineering center in India.
Job Overview
The GE Aerospace Data Science Specialist role focuses on developing and deploying modern analytics and AI solutions using machine learning, GenAI, operational research, and statistical methods.
Selected candidates will work with large and complex datasets while collaborating with software engineers, statisticians, and business teams.
Job Details
| Details | Information |
|---|---|
| Role | Data Science Specialist |
| Company | GE Aerospace |
| Location | Bengaluru, Karnataka |
| Domain | AI, ML & Data Science |
| Work Area | Predictive Analytics & GenAI |
Roles and Responsibilities
AI and Machine Learning Development 🤖
- Develop AI and machine learning solutions
- Work on predictive and prescriptive analytics
- Implement GenAI-powered applications
Data Analysis and Processing 📊
- Perform exploratory data analysis
- Handle data cleaning and preprocessing
- Assess data quality and reliability
Collaboration with Engineering Teams 🤝
- Work alongside software engineers and developers
- Translate AI algorithms into production-ready solutions
- Collaborate with cross-functional technical teams
Reporting and Documentation 📝
- Generate reports and project documentation
- Share analytical findings with stakeholders
- Create data storytelling and visualization outputs
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Technical Skills Required
Candidates applying for the GE Aerospace Data Science Specialist role should have the following skills:
| Skill Area | Required Knowledge |
|---|---|
| Programming | Python |
| AI/ML | Machine Learning & Applied Analytics |
| GenAI | Prompt Engineering & Fine-Tuning |
| Cloud Platforms | AWS, Azure, Databricks |
| Data Skills | Data Cleaning & Visualization |
Strong analytical thinking and problem-solving skills are highly important for this role.
Generative AI Skills Required 🌟
The role strongly emphasizes Generative AI capabilities.
Candidates should understand:
- Prompt engineering
- Fine-tuning models
- Pre-trained AI models
- LLM workflows
- AI-assisted analytics
Experience with GenAI projects or certifications may strengthen applications significantly.
Educational Qualification 🎓
Preferred educational qualifications include:
- B.Tech
- B.E.
- Artificial Intelligence
- Machine Learning
- Computer Science
- Applied Statistics
- Related technical disciplines
Candidates with strong AI or analytics project experience may have an advantage during the hiring process.
Salary (Estimated)
Based on industry trends and similar AI/data science roles, the estimated salary for the GE Aerospace Data Science Specialist role is:
| Experience Level | Estimated Salary |
|---|---|
| Entry-Level / Early Career | ₹10 LPA – ₹18 LPA |
| Candidates with Strong GenAI Skills | ₹18 LPA – ₹28 LPA |
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Benefits and Perks 🎁
GE Aerospace offers several employee-focused benefits and professional growth opportunities.
Employee Benefits
- Exposure to advanced aerospace technologies
- AI and machine learning projects
- Collaborative engineering culture
- Learning and development programs
- Cross-functional innovation environment
- Career growth opportunities
Employees also gain exposure to cutting-edge aviation and analytics technologies.
How to Apply
Before applying, ensure your resume highlights:
- Python projects
- AI/ML certifications
- GenAI projects
- Cloud platform exposure
- Data analytics work
- GitHub or portfolio links
- Visualization and storytelling projects
Candidates with practical AI implementation experience may perform better during the selection process.
Disclaimer:
This information is collected from official/public sources for informational purposes only. Salary estimates are based on market research and may vary. We do not charge any fee for job updates and do not guarantee selection or recruitment. Candidates should verify details from the official source before applying.
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