Data Scientist: Build In-House ML for Rail Ops

Govia Thameslink Railway Ltd.; Monument (CO); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Govia Thameslink Railway Ltd. is seeking a Data Scientist to unlock the power of data, ML and advanced analytics across one of the UK’s largest train operators.

You will help establish the in-house ML capability, developing models to support smarter decisions and improved operating outcomes. You will work within the Central Data & AI function, applying analytics to extract insights from large datasets, and collaborating with stakeholders to frame business problems and design effective

Qualifications

• End-to-end data science solutions in a business environment.
• Strong knowledge of statistical modelling, ML and predictive analytics.

Responsibilities

• Develop predictive and prescriptive models from DataHub datasets.
• Identify trends, risks and future outcomes using ML techniques.
• Frame business problems with stakeholders and define hypotheses.
• Translate analytical findings into clear, actionable insights for technical and non-technical audiences.
• Explain model assumptions, limitations and risks to support informed decisions.
• Collaborate with Data Engineers to build data models for analytics use cases.
• Monitor and improve model performance as conditions evolve.
• Contribute to data science standards, governance and best practices.

Skills

Python

SQL

Machine learning

Data visualization

Cloud platforms

Education

Degree in Data Science/CS/Statistics/Math

Tools

Power BI

Azure

Databricks

Synapse

Job description

Govia Thameslink Railway Ltd. is seeking a Data Scientist to unlock the power of data, ML and advanced analytics across one of the UK’s largest train operators.

You will help establish the in-house ML capability, developing models to support smarter decisions and improved operating outcomes. You will work within the Central Data & AI function, applying analytics to extract insights from large datasets, and collaborating with stakeholders to frame business problems and design effective