Data Science Engineer
Core
Develop machine learning and condition monitoring solutions for large-scale sensor datasets to enable intelligent asset monitoring.
Role type
Data Science Engineer (IC)
Builds
Condition monitoring algorithms, analytical tools, and production analytics systems for rail/transport assets.
Domain
Rail transport / Industrial engineering / Predictive maintenance
Deliverable
production ML models | product features
Required skills
Python, R, MATLAB, Data Science, Machine Learning, complex dataset analysis, technical reporting, problem-solving
Preferred skills
Azure, AI in engineering, .NET, version control, CI/CD, predictive maintenance, vibration analysis, rail industry experience
Technologies
Python, R, MATLAB, Azure, .NET
Responsibilities
Analyse complex sensor and operational datasets to identify trends and patterns. Design, develop and refine condition monitoring and machine learning algorithms. Develop software and analytical tools to support business and customer requirements. Work closely with cross-functional engineering and analytics teams on new capability development. Produce clear technical reports, presentations and visualisations for internal and external audiences. Support production analytics systems and help investigate performance issues and technical challenges.
Seniority
Mid-Senior, hands-on IC