GE HealthCare is hiring for the position of Data Science Specialist in Bengaluru, India. Candidates with a Bachelor’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | GE HealthCare |
| Position | Data Science Specialist |
| Qualification | Bachelor’s Degree |
| Experience | 0-2 (Years) |
| Location | Bengaluru, India |
Key Responsibilities:
- Design, develop, and implement AI, machine learning, and analytics solutions to solve engineering and business challenges.
- Collaborate with Systems Engineers, Software Engineers, and Verification Engineers to develop AI-powered engineering productivity tools and workflow automation solutions.
- Analyze structured and unstructured data from requirements, defect reports, test results, quality systems, documentation, and operational processes to generate meaningful insights.
- Perform exploratory data analysis, statistical analysis, and feature engineering to prepare complex datasets for machine learning applications.
- Build, evaluate, deploy, and maintain machine learning models for predictive analytics, descriptive analytics, and generative AI use cases.
- Develop Retrieval-Augmented Generation (RAG), Agentic AI, and Large Language Model (LLM)-based applications to enhance engineering knowledge management and process automation.
- Prepare, cleanse, validate, and assess data quality to ensure accurate and reliable AI model development.
- Design dashboards, reports, data visualizations, and technical documentation to communicate analytical findings and model performance effectively.
- Support Responsible AI initiatives by contributing to model governance, validation, traceability, and compliance processes.
- Research and adopt emerging AI technologies to identify innovative solutions for healthcare engineering challenges.
- Participate in prototype development, experimentation, and proof-of-concept initiatives to advance future AI-enabled engineering capabilities.
Eligibility Criteria:
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or a related STEM discipline.
- 0–2 years of experience in Artificial Intelligence (AI), Data Science, Software Engineering, Analytics, or a related field.
- Strong programming skills with proficiency in Python.
- Hands-on experience with data science, machine learning, and AI frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or equivalent.
- Exposure to Generative AI and Large Language Model (LLM) frameworks, including LangChain, LlamaIndex, Semantic Kernel, and OpenAI or Azure OpenAI APIs.
- Strong understanding of machine learning fundamentals, statistics, probability, data structures, algorithms, and model evaluation techniques.
- Knowledge of SQL and data manipulation techniques for data analysis and processing.
- Strong analytical, critical thinking, and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work effectively in a collaborative, cross-functional team environment.
- Passion for innovation, continuous learning, and applying AI to solve real-world business and engineering challenges.
Preferred Skills:
- Internship or project experience in Artificial Intelligence, Machine Learning, Data Science, or Software Development.
- Knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Agentic AI concepts.
- Familiarity with cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
- Experience with version control systems such as Git and modern software development practices.
- Exposure to healthcare, medical devices, quality management systems, or other regulated environments.
- Experience working with large-scale structured and unstructured datasets.
- Familiarity with data visualization tools such as Power BI, Tableau, or equivalent platforms.
About Company:
GE HealthCare is a leading worldwide innovator in medical technology, pharmaceutical diagnostics, and digital solutions. Our contributions to healthcare enable clinicians to make faster, more informed decisions, thanks to intelligent devices, data analytics, applications and services, supported by our Edison intelligence platform. Our people are diverse and dedicated, operating with the highest level of integrity and focus to fulfill GE HealthCare’s mission and deliver for its customers.
How To Apply?
- First, read through all of the job details on this page.
- Scroll down and press the Apply Here button.
- To be redirected to the official website, click on the apply link.
- Fill the details with the information provided.
- Before submitting the application, cross-check the information you’ve provided.
