GE HealthCare Data Science Specialist Hiring 2026 | AI & Machine Learning Jobs for Freshers
GE HealthCare is inviting applications for the Data Science Specialist role in Bengaluru. This opportunity is ideal for fresh graduates and professionals with up to 2 years of experience who are passionate about Artificial Intelligence, Machine Learning, Data Science, Generative AI, and healthcare innovation.
As a Data Science Specialist, you will work with AI Scientists, Systems Engineers, and Software Engineers to develop intelligent solutions that improve engineering productivity, product quality, regulatory compliance, and patient outcomes using advanced AI technologies.
Job Overview
| Company | GE HealthCare |
|---|---|
| Role | Data Science Specialist |
| Job ID | R4043714 |
| Qualification | Bachelor’s Degree |
| Eligible Branches | Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or Other STEM Disciplines |
| Experience | Freshers/0–2 Years |
| Job Type | Full-Time |
About GE HealthCare
GE HealthCare is a global leader in medical technology, digital healthcare solutions, and AI-powered healthcare innovation. The company develops advanced medical devices, imaging technologies, digital platforms, and AI-enabled healthcare solutions that improve clinical outcomes and transform patient care worldwide.
Roles & Responsibilities
- Develop AI, Machine Learning, and analytics solutions.
- Collaborate with Systems, Software, and Verification Engineers.
- Analyze structured and unstructured engineering datasets.
- Perform exploratory data analysis and feature engineering.
- Build, evaluate, and deploy Machine Learning models.
- Develop Retrieval-Augmented Generation (RAG) and LLM-based applications.
- Create Agentic AI solutions for workflow automation.
- Prepare, clean, and validate datasets.
- Create dashboards, reports, and technical documentation.
- Support responsible AI, model governance, and validation activities.
- Research emerging AI technologies for healthcare applications.
- Contribute to AI prototype development and proof-of-concept projects.
Eligibility Criteria
- Bachelor’s degree in a relevant STEM discipline.
- 0–2 years of experience in AI, Data Science, Software Engineering, or Analytics.
- Strong programming skills in Python.
- Good analytical and communication skills.
- Ability to work in cross-functional teams.
Required Skills
- Python.
- Pandas.
- NumPy.
- Scikit-learn.
- TensorFlow or PyTorch.
- Machine Learning.
- SQL.
- Statistics & Probability.
- Data Structures & Algorithms.
- Generative AI.
Preferred Skills
- LangChain.
- LlamaIndex.
- Semantic Kernel.
- OpenAI / Azure OpenAI APIs.
- Prompt Engineering.
- Agentic AI.
- AWS, Azure, or GCP.
- Git.
- Power BI.
- Tableau.
Why Join GE HealthCare?
- Work on real-world healthcare AI solutions.
- Collaborate with leading AI Scientists and Engineers.
- Hands-on exposure to Generative AI and Machine Learning.
- Global career opportunities.
- Innovative and collaborative work environment.
- Contribute to improving patient care through technology.
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Skills to Highlight in Your Resume
- Python.
- Machine Learning.
- Generative AI.
- Large Language Models (LLMs).
- RAG.
- SQL.
- Pandas & NumPy.
- TensorFlow/PyTorch.
- Git.
- Problem Solving.
Career Growth
The GE HealthCare Data Science Specialist role provides an outstanding career path into Artificial Intelligence Engineering, Machine Learning Engineering, Data Science, MLOps, Healthcare Analytics, Generative AI Engineering, and AI Research. Employees gain experience working on enterprise-scale healthcare AI solutions that directly improve engineering efficiency and patient outcomes.
Recommended Learning Resources
Interview Preparation
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- WSP & CGI Recruitment 2026
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How to Apply?
- Click the Apply Now button below.
- Visit the official GE HealthCare Careers portal.
- Create or sign in to your account.
- Complete the online application form.
- Upload your latest resume.
- Review all details carefully.
- Submit your application.
Frequently Asked Questions (FAQs)
1. Who can apply for the GE HealthCare Data Science Specialist role?
Candidates with a Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or another STEM discipline with 0–2 years of experience can apply.
2. Which technical skills are required?
Strong knowledge of Python, SQL, Pandas, NumPy, Machine Learning, TensorFlow/PyTorch, Statistics, and Generative AI concepts is required.
3. Which additional skills are preferred?
Experience with LangChain, LlamaIndex, Semantic Kernel, OpenAI APIs, Azure, AWS, GCP, Git, Power BI, Tableau, Prompt Engineering, RAG, and Agentic AI will be an added advantage.
Conclusion
The GE HealthCare Data Science Specialist position is an excellent opportunity for aspiring AI professionals to work on cutting-edge healthcare technologies. By contributing to enterprise AI, Machine Learning, and Generative AI solutions, candidates can build a rewarding career while helping develop innovative healthcare products that improve lives around the world.