GE HealthCare is Hiring Data Science Specialist | 0–2 Years | Bengaluru

Job Description

GE HealthCare is hiring Data Science Specialists for its Digital Technology & IT team in Bengaluru. This opportunity is ideal for fresh graduates and early-career professionals who are passionate about Artificial Intelligence, Machine Learning, Data Science, Generative AI, Python, Large Language Models (LLMs), and healthcare innovation. If you're looking to apply AI to solve real-world healthcare engineering challenges, this role offers an excellent opportunity to work on enterprise-scale AI solutions that improve patient care and engineering productivity.

As a Data Science Specialist, you will develop AI-powered applications, build machine learning models, analyze large engineering datasets, create Generative AI solutions, and collaborate with Systems Engineers, Software Engineers, AI Scientists, and domain experts to build intelligent healthcare technologies.

𝐂𝐨𝐦𝐩𝐚𝐧𝐲: GE HealthCare
𝐑𝐨𝐥𝐞: Data Science Specialist
𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Bengaluru, Karnataka, India
𝐖𝐨𝐫𝐤 𝐌𝐨𝐝𝐞: On-Site
𝐉𝐨𝐛 𝐓𝐲𝐩𝐞: Full-Time
𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 0–2 Years

𝐀𝐛𝐨𝐮𝐭 𝐆𝐄 𝐇𝐞𝐚𝐥𝐭𝐡𝐂𝐚𝐫𝐞

GE HealthCare is a global leader in medical technology, digital healthcare solutions, and diagnostic innovation. The company develops advanced technologies that help healthcare professionals improve clinical outcomes, enhance operational efficiency, and deliver better patient care across the world.

Its Digital Technology and AI teams leverage Artificial Intelligence, Machine Learning, Data Science, and cloud technologies to transform healthcare product development, engineering workflows, regulatory processes, and medical innovation. By combining technology with healthcare expertise, GE HealthCare continues to shape the future of intelligent healthcare systems.

𝐉𝐨𝐛 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

As a Data Science Specialist, you will contribute to AI-enabled engineering initiatives by developing machine learning models, Generative AI applications, and intelligent analytics solutions. You'll work with structured and unstructured datasets to improve engineering productivity, product quality, compliance, and healthcare innovation.

This role offers hands-on experience with Python, Machine Learning, Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, cloud platforms, and enterprise AI development while collaborating with multidisciplinary engineering teams.

Roles & Responsibilities

- Develop AI, Machine Learning, and Data Science solutions for engineering and business challenges.

- Collaborate with Systems Engineers, AI Scientists, Software Engineers, and Verification teams.

- Analyze structured and unstructured engineering datasets to generate actionable insights.

- Perform exploratory data analysis, statistical analysis, and feature engineering.

- Build, evaluate, and deploy predictive, descriptive, and Generative AI models.

- Develop Retrieval-Augmented Generation (RAG), Agentic AI, and LLM-powered applications.

- Prepare, clean, validate, and assess data quality for AI models.

- Create dashboards, visualizations, reports, and technical documentation.

- Support responsible AI practices, model governance, traceability, and validation.

- Participate in AI research, experimentation, prototype development, and proof-of-concept initiatives.

Qualifications & Eligibility

- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or another STEM discipline.

- 0–2 years of experience in AI, Data Science, Analytics, Software Engineering, or related fields.

- Strong programming skills in Python.

- Good understanding of Machine Learning fundamentals, statistics, probability, and data structures.

- Knowledge of SQL and data manipulation techniques.

- Strong analytical thinking, communication, and problem-solving skills.

Skills Required

- Python

- Machine Learning

- Data Science

- Artificial Intelligence

- SQL

- Pandas

- NumPy

- Scikit-learn

- TensorFlow

- PyTorch

- Statistics

- Data Analysis

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬

- Generative AI

- Large Language Models (LLMs)

- Prompt Engineering

- Retrieval-Augmented Generation (RAG)

- Agentic AI

- LangChain

- LlamaIndex

- Semantic Kernel

- OpenAI API

- Azure OpenAI

- Azure / AWS / GCP

- Git

- Power BI

- Tableau

- Healthcare Data

𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐆𝐄 𝐇𝐞𝐚𝐥𝐭𝐡𝐂𝐚𝐫𝐞?

- Work on cutting-edge AI solutions that improve healthcare worldwide.

- Build enterprise-scale Machine Learning and Generative AI applications.

- Collaborate with experienced AI Scientists, Software Engineers, and healthcare experts.

- Gain hands-on experience with modern AI frameworks and cloud technologies.

- Contribute to real-world healthcare innovation and patient outcomes.

- Access continuous learning, research, and professional development opportunities.

- Grow your career at one of the world's leading healthcare technology companies.

𝐂𝐚𝐫𝐞𝐞𝐫 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬

This role provides an excellent foundation for careers such as:

- Data Scientist

- AI Engineer

- Machine Learning Engineer

- Generative AI Engineer

- Applied AI Engineer

- Data Engineer

- Analytics Engineer

- Computer Vision Engineer

- Research Engineer

- Senior Data Scientist

𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐩𝐩𝐥𝐲?

- Fresh graduates and professionals with up to 2 years of experience.

- Candidates passionate about Artificial Intelligence, Machine Learning, and Data Science.

- Students with AI, ML, analytics, or software development projects and internships.

- Individuals interested in Generative AI, LLMs, healthcare technology, and enterprise AI applications.

- Aspirants looking to build a long-term career in AI, Data Science, and healthcare innovation.