Senior Data Scientist

GE HealthCare UK

Base: 234,400 pln - 322,300 pln annually; bonus: d...
Hybrid
Master's degree in applied mathematics or computer science
Proficiency in python, keras, tensorflow, pytorch, or llm frameworks
Experience with data cleansing, quality assessment, and feature extraction
GE HealthCare UK is seeking a Senior Data Scientist to join their hybrid team, focusing on statistical, machine learning, and data understanding challenges in a commercial technology setting. The role involves developing and deploying machine learning models and analytics to address customer needs, particularly in predictive and prescriptive maintenance and operations optimization

Job Summary

  • The Senior Data Scientist will work in teams to address statistical and machine learning problems within a commercial technology environment.
  • This role involves developing modern AI and deep learning methods to find structure in large datasets for predictive maintenance and operations optimization.
  • Employees benefit from a comprehensive rewards package including health coverage, retirement plans, and flexible working arrangements.

Matching Summary

Match Score: 85

GE HealthCare UK is seeking a Senior Data Scientist to join their hybrid team, focusing on statistical, machine learning, and data understanding challenges in a commercial technology setting. The role involves developing and deploying machine learning models and analytics to address customer needs, particularly in predictive and prescriptive maintenance and operations optimization.

Salary

Base: 234,400 PLN - 322,300 PLN annually; Bonus: Details shared during offer discussions; Benefits: Health & wellness, retirement plans, allowances, and flexible working support

Skills & Requirements

Must-have

  • Master's degree in applied mathematics or computer science
  • Proficiency in Python, Keras, TensorFlow, PyTorch, or LLM frameworks
  • Experience with data cleansing, quality assessment, and feature extraction
  • Skill in translating algorithms into commercially viable products
  • Familiarity with Agile techniques and real-time analytics deployment

Nice-to-have

  • Strong collaboration and cross-disciplinary team skills
  • Ability to visualize data and tell stories to stakeholders
  • Awareness of critical thinking and problem-solving methods
  • Understanding of industry trends in healthcare and technology
  • Presentation and influencing skills for diverse audiences

Key Requirements

  • Master's degree in applied mathematics, computer science, or data science
  • Advanced experience in data science tools and languages
  • Demonstrated skill in applied analytics on industrial datasets

Work Rights

Not specified

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