Senior Data Scientist - Rail Digitalisation

About the role

The Rail Digitalisation Division builds the Railway Common Data Platform (CDP), a cross-functional team that adds data analytics and artificial intelligence to support rail performance and maintenance. You will build the "intelligence layer" of the CDP, developing systems that detect anomalies in complex railway time-series data and reason about them to give clear, actionable outcomes for maintenance and operations.

Key responsibilities

• Convert use cases into data problems and analyse data to support decision making
• Build end-to-end machine learning solutions, from data discovery and feature engineering to model deployment and monitoring
• Develop time-series forecasting and anomaly detection systems (Z-score, growth rate analysis, statistical thresholds)
• Manage the full ML lifecycle, including operational AI that triggers automated workflows or maintenance alerts
• Translate model outputs into requirements for UI/UX designers to build enterprise dashboards
• Build autonomous systems that combine statistical triggers with LLM-based reasoning to categorise, prioritise and escalate operational issues

Required profile

• Degree in Data Science, Statistics, Computer Science, Engineering or a related quantitative field
• At least 2 years of proven data science experience, preferably with data-heavy industrial or enterprise products
• Experience in transportation, IoT or large-scale condition-monitoring systems with AI agents is advantageous
• Those without work experience but with a strong interest in quantitative fields are welcome to apply
• Ability to explain algorithmic logic to non-technical stakeholders and to work in a squad with designers, product managers and engineers

Required skills

• Expert Python and SQL, with time-series forecasting and anomaly detection
• Data stacks such as Snowflake and Databricks, and real-time API ingestion
• MLOps and automation of ML workflows
• Agentic AI and LLM-based reasoning