At Network Rail, we're dedicated to keeping passengers and freight moving safely and efficiently across the country. When you join us, you're not just part of a team - you're part of something that matters to millions. We believe that our people are at the heart of what we do, and every role plays a vital part in building a better, more connected railway.We're committed to creating a diverse, inclusive workplace that reflects the communities we serve. To discover more about our ED&I commitments We value flexibility and understand the importance of a healthy work-life balance. As a Disability Confident Leader, we'll do everything we can to accommodate any needs throughout the recruitment process. You can visit for advice on accessibility support.If you're ready to make a real difference, we'd love to hear from you!Vacancy DetailsDuration: PermanentLocation: This role is based in The Quadrant:MK. This role is a full-time opportunity, flexible working patterns will be considered. For Quadrant:MK, you must live within 90 minutes.Band & Salary: (Band 4c) £43,588 - £51,719Brief DescriptionThis is a novel opportunity within Network Rail to combine data analysis and data processing skills enhancing the understanding of railway performance. In this role you will work across the performance & simulation team, supporting modelling with input & output calibration, supporting timetable analysis by combining data to provide new and revealing insights. You will do this by using a combination of Python & SQL among other tools to integrate and interrogate a variety of different & new data sources.About the role (External)What does the average day look like?The job is varied, at times working on individual projects, at other times working with railway & simulation experts from across the Timetable Performance & Simulation team Portfolios (Analysis, Simulation, Projects and Development) providing expert guidance to other workstreams.You will push the boundaries and expand the narrative from punctuality and support innovation related to the Whole System Performance ModelWho are we looking for?We are looking for an enthusiastic, inquisitive, and analytical individual to provide & support analysis to inform decision makers. We are looking for skilled, adaptable and collaborative individual to utilise a variety of real life and modelled data to provide analytical insights as well as data processing tools to support the use of real data in modelling the railway. While this is a great opportunity for a successful candidate to gain knowledge of the UK Rail Industry, prior experience is not necessary to get the role.Essential Criteria· Degree and/or post graduate qualification in a relevant discipline, such as Computer Science, Mathematics, Statistics, or equivalent experience.· Significant practical experience in descriptive / predictive modelling and visualisation methods and techniques.· Strong skills and practical experience in Machine Learning on the Cloud (i.e. Azure, GCP or Amazon) using Numpy, Scikit Learn, Tensorflow, Keras, PyTorch or other data mining frameworks.· Excellent programming skills using Python, R and other programming languages.· Experience of delegating specific tasks and supervising others in the completion of these tasks.· Experience in coaching and mentoring of technical skills to build high performing teams.· Proven ability to engage with customers; to influence and build collaborative relationships with stakeholders.· Proven ability to innovate and create solutions to complex modelling issues.· Experience in delivering presentations and adjusting presentation style to differing audiences.· Proven ability in creating technical notes which are clear and concise and understood by others.· Ability to communicate technical and management aspects of work to a senior audience.· Knowledge of project risk issues and application of these to day-to-day tasks.We would also like, but not essential.· Understanding of the Rail Industry planning cycles and processes· Experience in using the following applications: Tableau, Power BI, Railsys and Trenissimo.Please see attached job description for full details.How to apply (External)Additional Information…Closing date: 21st September 2025. However, early application is advised as we reserve the right to close the advert early based on application volumes.Next Steps: Interviews will be held in October 2025, depending on business requirements.If you require any support with your application, please for contact details.All offers of employment are conditional upon satisfactory completion of pre-employment checks.Some of our great benefits:🌍 Flexible/hybrid working arrangements considered.🌞 Generous annual leave (28 days plus statutory days), with the option to buy/sell days.
