M.s. or ph.d. in computer science or related stem field
Advanced experience in ai/ml model deployment
Proficiency in python, tensorflow, pytorch, scikit-learn
GE HealthCare UK is seeking a Senior Data Scientist for their Global Services – Service Technology team in Poland. This role focuses on developing AI and machine learning solutions to improve healthcare technology and patient outcomes, offering a collaborative, innovative work environment
Job Summary
This role leads the design and deployment of cutting-edge machine learning and generative AI solutions to enhance medical imaging system performance.
The position offers the opportunity to work on high-impact projects in a collaborative, agile environment driving innovation across healthcare operations.
Employees have access to a comprehensive benefits package including health coverage, retirement plans, and flexible working arrangements.
Matching Summary
Match Score: 85
GE HealthCare UK is seeking a Senior Data Scientist for their Global Services – Service Technology team in Poland. This role focuses on developing AI and machine learning solutions to improve healthcare technology and patient outcomes, offering a collaborative, innovative work environment.
Salary
Base: 234,400.00PLN-322,300.00PLN annually; Bonus: Details shared during offer discussions; Benefits: Comprehensive package including health, retirement, and allowances
Skills & Requirements
Must-have
M.S. or Ph.D. in Computer Science or related STEM field
Advanced experience in AI/ML model deployment
Proficiency in Python, TensorFlow, PyTorch, Scikit-learn
Experience with cloud platforms like AWS and Azure
Hands-on deep learning architectures (CNNs, RNNs, GANs)
Knowledge of GenAI tools including RAG models
Nice-to-have
Experience in diagnostics, prognostics, and reliability engineering
Strong business acumen to translate needs into technical solutions
Proven ability to mentor junior team members
Familiarity with healthcare or industrial AI applications
Experience with big data technologies like Spark
Key Requirements
M.S. or Ph.D. in Computer Science, Data Science, Engineering, or related STEM field