Data Science Graduate Scheme

Data, Analytics, Statistics, Maths, AI, Machine Learning.

Please note: This role may close soon depending on the level of interest so don’t miss out!

We’d like to remind you that you must ensure you are eligible for this scheme before applying. Please read through the eligibility criteria below carefully and ensure that you are eligible before applying.

Careers at TfL
Want to be part of the team at Transport For London? Watch this video to find out more.

Please note: We only allow one application for any of our Graduate schemes per year. Any subsequent applications will be withdrawn.

Job overview

As a Data Scientist at TfL, you could work on a wide range of real-world challenges, from improving customer features in the TfL Go app and optimising bus schedules to forecasting travel demand and using image and operational data to better understand and manage TfL assets. You will apply data science and machine learning techniques to help improve the experience, safety and reliability of London's transport network.

The wealth of data generated by TfL's systems, from Oyster card taps to train carriage temperatures, should be intrinsically interesting to a Data Scientist, whose role is to uncover patterns, solve complex problems and turn data into actionable insights for customers and colleagues. Your approach to analysis will continually evolve to keep pace with advances in machine learning, AI and big data technologies, while remaining grounded in strong statistical and mathematical foundations.

Data science is used across TfL, and strong communication skills are essential for understanding business challenges, collaborating with stakeholders and delivering impactful outcomes. As experts in data and analytics, you'll help shape solutions, influence decisions and drive innovation across the organisation. 

Computer programming and data platforms underpin all aspects of the role, with Python and SQL used extensively alongside modern cloud, data and analytics technologies. You'll need strong analytical and problem-solving skills, a solid understanding of statistics, and curiosity about emerging technologies. You will be supported by a strong analytical community and a wide range of development opportunities to help you reach your potential.

What will I be doing?

The graduate scheme will consist of 4 placements of roughly 6 months each with the option to choose your business areas and projects of interest in your second year. Within each placement you will be introduced to new projects, datasets, and tools and you will be expected to deliver impactful work whilst simultaneously learning the skills you will need.

Data Science is embedded across the organisation and you can expect to work in several areas such as:

  • Customer analytics — Understanding how customers move around our network using data generated by tap-in-tap-out customer data, phones connecting to the Underground’s WiFi network, train weight sensors and surveys. You could be asked to improve our capability for real-time journey planning, optimise station retail, crowd management, or forecast commuter behaviour. 
  • Operational support — Improving the reliability and efficiency of our infrastructure using smart condition monitoring, usage statistics, probabilistic models of failure impact, to optimise maintenance and investment programmes.
  • Environment and safety — TfL is committed to delivering safe and sustainable public transport and roads, and quality data analysis is crucial for designing safer junctions, reducing our energy use, and mitigating against future climate.
  • Strategic modelling — Decisions around line closures, major investment, and bus route alterations have a huge impact on our customers and data modelling techniques are vital to inform business cases and guide multi-billion-pound programmes. 

Location

London/Hybrid - Hybrid working within this role enables a balance of 50 per cent of time split between the office and home over a four-week period. Hybrid working arrangements can evolve subject to business requirements.

Where can this career take me?

Upon completing the scheme, we would expect you to roll-off directly into one of our data science or data analytics teams. There will continue to be opportunities to grow and explore new areas, and collaboration between teams is encouraged. 

Equally, you may decide to specialise or progress to managing a small team of data scientists. Transport for London is a large organisation with many options for future development and projects to maintain your high level of curiosity.

What training and support will you get?

Our award-winning data science teams will support your ongoing development, through a wide range of on-the-job practical experience and placements. We'll support your professional development through a combination of training, mentoring, and networking.

You'll also receive one-to-one guidance throughout the programme from your:

  • Placement manager: Responsible for your day-to-day management and support with your development
  • Scheme sponsor: A senior manager who acts as a technical and professional adviser and has line manager responsibility
  • Buddy: Usually a graduate who gives support to you and ensures that you feel welcomed in the organisation.
  • Development adviser: Supports your professional development through providing career coaching and career progression at TfL

Entry requirements

  • Already hold or be on track to achieve minimum of a 2:1 in a highly numerate degree or a degree with a significant numerate and/or computational component; and
  • Examples of using big data, applying data science techniques, or programming experience e.g. R, Python, SQL, Java, C/C++, Scala

Successful candidates must have the right to work in the UK for the duration of the scheme, as at the start date. This role is not eligible for sponsorship under the Skilled Worker visa scheme.  If you do not have the right to work in the UK, or only have a right to work here for a limited time which is lesser than the duration of the scheme, you should be aware that TfL will be unable to sponsor you for this role. 

What do we look for?

Our core values are extremely important to us, and we desire candidates who are:

  • Caring about our colleagues, our customers and our work.
  • Open to each other, to new ideas and to working together.
  • Adaptable to diverse needs and willing to innovate.

What we offer

You will enjoy excellent benefits and scope to grow. Rewards vary according to the business area but mostly include:

  • Free travel on the TfL network for you and a nominee who lives in the same household.
  • Final salary pension scheme.
  • Discounted national rail and Eurostar travel.
  • Minimum 30 days' annual leave (Pro rata dependent on role) plus public and bank holidays.
  • Private healthcare discounted scheme.
  • Tax-efficient cycle-to-work programme.
  • Retail, health, leisure and travel offers & many more.

Successful candidates must have the right to work in the UK for the duration of the scheme, as at the start date. This role is not eligible for sponsorship under the Skilled Worker visa scheme. If you do not have the right to work in the UK, or only have a right to work here for a limited time which is lesser than the duration of the scheme, you should be aware that TfL will be unable to sponsor you for this role.

Salary:

£32,250 per annum rising to £33,500 in the second year.

Inclusive recruitment process

We are committed to equality, diversity and inclusion and aim to reflect the diverse communities we serve. We believe that a diverse workforce enables us to deliver better services and outcomes. Our goal is to make our recruitment as inclusive as possible. As a Disability Confident Leader, we actively encourage applications from disabled people.

As part of the Disability Confident scheme, we aim to offer an assessment or interview to candidates who apply via the scheme where the minimum essential criteria for skills, knowledge and experience has been met. In some circumstances, it may not be practical to offer an interview or assessment to every candidate who applies through the scheme and meet the minimum essential criteria; in these situations, we select candidates who best meet the minimum criteria for the job rather than interviewing all who meet them.

Across all recruitment activity, we recognise that selection methods may vary depending on the nature and scale of the campaign and will be applied fairly, consistently and proportionately in line with our Disability Confident commitments.

In High Volume campaigns including Graduate, Apprentice and Intern recruitment the minimum criteria we set is achieving a pass mark in our first stage assessments, adopting a proportionate approach to the Disability Confident Offer an Interview scheme.

Please let us know if you require any reasonable adjustments for any stages of the application process.

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Add to Shortlist
Shortlisted
  • Deadline
    Ongoing
  • Starting
    September 2027
  • Hiring Multiple Candidates
    Yes
  • Salary
    £32,250 + benefits
  • Degree required
    2:1 and above
  • Location
    London (Hybrid)
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Disciplines Accepted...
  • AI/Machine Learning
  • Analytics/Statistics
  • Computer Science
  • Data Science
  • Maths
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