About the GE HealthCare Data Science Specialist role

The GE HealthCare Data Science Specialist role sits inside GE HealthCare’s AI-enabled Systems Engineering organization, which is transforming healthcare product development using Artificial Intelligence, Machine Learning, Data Science and Generative AI.

You will work on large-scale engineering, quality and product lifecycle datasets, alongside Systems Engineers, AI Scientists, Software Engineers and Verification & Validation Engineers, to build the next generation of AI-powered engineering workflows for healthcare technology.

Key responsibilities

• Develop AI, machine learning and analytics solutions for engineering and business challenges.
• Analyse structured and unstructured data from requirements, defects, test results and quality systems.
• Perform exploratory data analysis, statistical analysis and feature engineering.
• Build, evaluate and deploy ML models for predictive, descriptive and generative AI use cases.
• Develop RAG, Agentic AI and LLM-based applications for engineering knowledge management.
• Create dashboards, visualizations and technical documentation of model performance.

GE HealthCare Data Science Specialist – eligibility criteria

To be eligible for the GE HealthCare Data Science Specialist role, candidates should meet:

• Bachelor’s degree in Computer Science, Data Science, AI, ML, Statistics, Mathematics, Engineering or a related STEM discipline.
• 0 to 2 years of experience in AI, Data Science, Software Engineering or Analytics.
• Strong programming skills in Python, with Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch.
• Exposure to Generative AI / LLM frameworks such as LangChain, LlamaIndex or Azure OpenAI APIs.
• Understanding of ML fundamentals, statistics, data structures, algorithms and SQL.
• Strong analytical, written and verbal communication skills.

Preferred qualifications

• Internship or project experience in AI, ML, Data Science or Software Development.
• Familiarity with cloud platforms such as Azure, AWS or GCP, and version control (Git).
• Exposure to healthcare, medical devices, quality systems, or regulated environments.
• Familiarity with Power BI, Tableau or similar visualization tools.

Documents required

• Updated resume – build one free with our Resume Builder.
• Government photo ID (Aadhaar / PAN / passport) plus a photocopy.
• 2 passport-size photographs.
• All education marksheets and degree / provisional certificate.

Preparation tips

• Revise ML fundamentals – regression, classification, evaluation metrics – you will likely be tested on these.
• Be ready to discuss a project involving RAG, LLMs or agentic AI, even a personal one.
• Brush up SQL and Python with our free aptitude practice tests.
• Prepare a crisp self-introduction using our 5-part formula with sample answers. Also see more walk-in interviews in Hyderabad.

How to apply for the GE HealthCare Data Science Specialist role

To apply for the GE HealthCare Data Science Specialist role (Job ID R4043714), use the “Apply on official portal” button on this page or open the official GE HealthCare careers listing. Create a profile, upload your resume and submit before the role closes. Explore more roles on our companies hiring freshers page.

About GE HealthCare

GE HealthCare is a leading global medical technology and digital solutions company whose purpose is a world where healthcare has no limits. Its Bengaluru technology centre works on AI, data science and digital engineering for healthcare products used worldwide.