Senior Data Scientist
Core
Defining data science requirements and building predictive models for rail asset maintenance and safety solutions.
Role type
Senior Data Scientist (Industrial AI)
Builds
Predictive maintenance models and scenario modelling for rail signalling and safety systems.
Domain
Rail transport / Industrial asset management
Deliverable
production ML models
Required skills
Statistics, machine learning, data analysis, predictive modeling (classification, regression, clustering, anomaly detection), time-series analysis and forecasting, Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow), MLOps, model deployment as APIs or microservices, handling large-scale time-series and streaming data, cloud environments.
Preferred skills
Remaining Useful Life (RUL) prediction, failure prediction and classification, anomaly detection (isolation forest, autoencoders), industrial asset management concepts (MTBF, MTTR), preventive/predictive/condition-based maintenance strategies, sensor data (IoT/telemetry) handling, industrial standards (ISO 55000).
Responsibilities
Define data science requirements and use cases, plan and execute advanced analytics and scenario modelling, lead use case capture and model building, research and industrialize ML/deep learning models, validate model performance for production readiness, collaborate with product leaders and software teams.
Seniority
Senior, hands-on IC with leadership capabilities