Full-Time
Data Science Specialist
Updated on 8/1/2026
GE Healthcare
1-10 employees
Imaging, monitoring, and healthcare IT solutions
No salary listed
Bengaluru, Karnataka, India
In Person
 Data & Analytics (1) |
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- A bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or another STEM discipline is required.
- The role requires 0–2 years of experience in Artificial Intelligence, Data Science, Software Engineering, Analytics, or related fields.
- Strong programming skills in Python are required.
- Proficiency in Python and common data science, machine learning, and artificial intelligence frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch is required.
- Exposure to Generative AI and large language model frameworks such as LangChain, LlamaIndex, Semantic Kernel, OpenAI APIs, or Azure OpenAI APIs is required.
- Understanding of machine learning fundamentals, statistics and probability, data structures and algorithms, and model evaluation techniques is required.
- Knowledge of SQL and data manipulation techniques is required.
- Strong analytical and problem-solving skills are required.
- Effective written and verbal communication skills are required.
- The candidate must be able to work in a collaborative, cross-functional environment.
- The candidate should demonstrate a passion for innovation, continuous learning, and solving real-world problems using artificial intelligence.
- Develop artificial intelligence, machine learning, and analytics solutions to address engineering and business challenges.
- Collaborate with Systems Engineers, Software Engineers, and Verification Engineers to create AI-driven engineering productivity tools and workflows.
- Analyze structured and unstructured datasets from requirements, defects, test results, quality systems, documentation, and operational processes.
- Perform exploratory data analysis, statistical analysis, and feature engineering on complex datasets.
- Build, evaluate, and deploy machine learning models for predictive, descriptive, and generative AI use cases.
- Develop Retrieval-Augmented Generation, Agentic AI, and large language model-based applications for engineering knowledge management and workflow automation.
- Participate in data preparation, cleansing, validation, and quality assessment activities.
- Create dashboards, visualizations, reports, and technical documentation to communicate findings and model performance.
- Contribute to responsible AI practices, model governance, traceability, and validation processes.
- Stay current with emerging AI technologies and identify opportunities to apply them to healthcare engineering problems.
- Support prototype development, experimentation, and proof-of-concept activities for future AI-enabled engineering capabilities.
- Internship or project experience in artificial intelligence, machine learning, data science, or software development is preferred.
- Knowledge of Generative AI, large language models, prompt engineering, and Agentic AI concepts is preferred.
- Familiarity with cloud platforms such as Azure, AWS, or GCP is preferred.
- Experience with version control using Git and software development practices is preferred.
- Exposure to healthcare, medical devices, quality systems, or regulated environments is preferred.
- Experience working with large-scale structured and unstructured data is preferred.
- Familiarity with data visualization tools such as Power BI, Tableau, or equivalent is preferred.
GE Healthcare Systems provides medical technologies and digital infrastructure to improve diagnosis, treatment, and monitoring of patients. Its products include imaging systems, mobile diagnostic devices, patient monitoring tools, and healthcare IT software that work together as hardware, software, and services to support hospitals, clinics, and researchers. The company differentiates itself with a large, integrated ecosystem, strong focus on AI analytics, and a global service network backed by substantial R&D investment. Its goal is to improve patient outcomes and the efficiency of healthcare delivery by enabling accurate diagnoses, effective treatments, and scaled operations.
Company Size
1-10
Company Stage
IPO
Headquarters
Chicago, Illinois
Founded
1892
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Simplify's Take
What believers are saying
- FDA clearance for MIM Contour ProtégéAI+ enables faster radiation therapy contouring and workflow automation.
- Sonic DL deep-learning acceleration speeds up 85% of MRI exams, enhancing AI-driven diagnostic capabilities.
- Intelerad acquisition strengthens cloud-based enterprise imaging and AI-integrated radiology solutions.
What critics are saying
- Intense competition in mature markets constrains growth as GE is fairly valued with limited expansion room.
- China market weakness undermines revenue recovery, contributing to 31% YoY net profit drop in Q1 2026.
- Supply chain disruptions and inflation from chips, oil, freight pressure margins, risking lost investor confidence.
What makes GE Healthcare unique
- GE Healthcare leads with 115 FDA AI authorizations, topping industry in AI-enabled medical device approvals.
- Allia upgrade pathways modernize legacy X-ray systems with AI 3DStent visualization and CleaRecon DL reconstruction.
- SIGNA One and Bolt MRI systems deliver AI-powered workflows and helium-free imaging for precision diagnostics.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Retirement Plan
401(k) Company Match
Tuition Reimbursement
Relocation Assistance
Company News
GE HealthCare has announced a digital integration between its bkActiv intraoperative ultrasound system and Medtronic's Stealth AXiS surgical navigation system, now commercially available for cranial procedures. The integration allows neurosurgeons to use bkActiv as a plug-and-play real-time visualisation solution during procedures. The system addresses "brain shift", a natural movement of the brain during surgery that reduces pre-surgical image accuracy. bkActiv provides live ultrasound images alongside pre-operative MRI or CT scans on the Stealth AXiS system, recently cleared by the FDA for cranial procedures in the United States. Features include sterilisable transducers, sensitive colour Doppler for blood flow visualisation, and remote control capability from the sterile field. The companies will showcase the integration at the American Association of Neurological Surgeons Annual Scientific Meeting in May 2026.
GE HealthCare is showcasing its cardiology portfolio at ACC.26, featuring AI-enabled imaging technologies and software solutions addressing cardiovascular disease, which kills over 900,000 Americans annually. The company received US FDA 510(k) clearance for Photonova Spectra, a photon-counting CT system with proprietary Deep Silicon detectors designed to provide ultra-high-definition cardiac imaging and improved plaque characterisation. GE HealthCare introduced ReadyFix fleet management solution for MAC VU360 ECG workstations, enabling remote diagnostics and software deployment to optimise device uptime. The company also announced a US collaboration with Gentuity, connecting customers with HF-OCT and Vis-Rx PRIME Micro-Imaging Catheter for enhanced coronary procedure visualisation. The $20.6 billion company serves patients globally with imaging, diagnostics and AI solutions across the cardiology care pathway.
GE HealthCare has received FDA 510(k) clearance for Photonova Spectra, a photon-counting computed tomography system powered by its Deep Silicon detector technology. The system directly counts individual photons and measures their energy, enabling higher spectral and spatial resolution compared to conventional CT systems that first convert X-rays into visible light. Photonova Spectra features 8-bin energy resolution, wide detector coverage and rapid 0.23-second rotation speed, supporting fast acquisition and detailed visualisation across multiple clinical specialties. The system automatically captures spectral and ultra-high definition spatial data simultaneously without requiring special protocols. The technology incorporates NVIDIA accelerated computing to process up to 50 times more data than conventional CT systems. GE HealthCare is collaborating with institutions including UW-Madison and Stanford Medicine to explore clinical applications and imaging protocols.
GE HealthCare has appointed Kevin Lobo, chair and CEO of Stryker Corporation, to its board of directors effective 13 March. Lobo brings over 25 years of medical technology, operational and financial leadership experience to the role. Lobo has served as Stryker's CEO since October 2012 and board chair since July 2014. Previously, he held leadership positions at Johnson & Johnson, including president of Ethicon Endo Strategy, and at chemical and pharmaceutical company Rhône-Poulenc. His early career included finance roles at KPMG, Unilever and Kraft Canada. GE HealthCare chairman H. Lawrence Culp said Lobo's clinical expertise and track record of driving innovation would strengthen the board as the company pursues growth priorities in personalised, connected healthcare.
Arthur J. Gallagher, an insurance brokerage and consulting firm, stands out amongst cash-producing stocks with a 12.8% trailing 12-month free cash flow margin. The company has demonstrated strong revenue growth of 17.9% annually over the past two years and earnings per share growth of 17.7% annually over five years, outperforming peers. In contrast, Grand Canyon Education faces challenges with underwhelming student numbers and modest earnings growth of just 7.2% annually over five years, despite a 21.6% free cash flow margin. GE HealthCare also struggles with weak 2.7% annual revenue growth over two years and limited organic expansion. Arthur J. Gallagher, operating in approximately 130 countries, provides insurance brokerage, reinsurance and consulting services globally.