Data Science Graduate Scheme

TfL generates vast amounts of data, from Oyster card taps to train temperature readings, offering rich opportunities for analysis. Data Scientists at TfL identify patterns in this data to generate actionable insights for customers and internal teams.

• Use cutting-edge machine learning and big data techniques, grounded in strong statistical and mathematical principles.
• Work collaboratively with stakeholders across TfL, requiring excellent communication skills.
• Master programming tools like R, Python, and SQL, and refine your problem-solving and reasoning skills.
Sustainability Sustainability is embedded in TfL's ethos, ensuring operations protect and regenerate the natural world. What Will I Be Doing? The two-year scheme includes four 6-month placements, providing exposure to various datasets, projects, and tools. You'll deliver impactful work while honing your skills. Potential Placements Include: 1. Customer Analytics: + Analyze tap-in/tap-out data, Wi-Fi network connections, and train weight sensors to optimize station retail, manage crowds, and forecast commuter behavior. 2. Operational Support: + Enhance infrastructure reliability using smart condition monitoring and probabilistic failure models to optimize maintenance and investment plans. 3. Environment and Safety: + Design safer junctions, reduce energy use, and address climate-related challenges using data analysis. 4. Strategic Modeling: + Inform decisions on line closures, major investments, and route alterations through robust data modeling techniques. In the second year, you can tailor placements to your interests. Where Can This Career Take Me? Graduates typically roll off into one of TfL's data science teams, with opportunities to:
• Specialize in a particular area.
• Manage a small team of data scientists.
• Collaborate on high-impact projects across the organization.
TfL offers extensive pathways for growth and opportunities to explore new areas of interest. Training and Support TfL provides:
• On-the-job training and a variety of placements.
• Professional development through training, mentoring, and networking.
• Individualized guidance from:
+ Placement Manager: Oversees daily tasks and career development. + Scheme Sponsor: Senior manager offering technical advice. + Buddy: Peer support to help you integrate into TfL. + Development Adviser: Career coaching and progression support.


• Minimum 2:1 in a highly numerate degree or a degree with significant computational and/or numerate components.
• Examples of experience with:
+ Big data applications. + Data science techniques. + Programming languages like R, Python, SQL, Java, C/C++, or Scala.

"Each day on the Data Science Graduate Scheme is different. Some days involve troubleshooting tricky code, while others are about researching new modeling techniques or attending training courses. I may spend time in meetings, presenting my work to stakeholders, or simply have a quiet work-from-home day to tackle my to-do list. No two days are ever the same!" Salary
• £31,000, rising to £32,250 in the second year., London/Hybrid
• Hybrid working allows a 50/50 split between office and home over a four-week period, subject to business requirements.
What TfL Offers A range of benefits, including:
• Free travel on the TfL network for you and a nominee living in your household.
• Final salary pension scheme.
• Discounted national rail and Eurostar travel.
• 30 days annual leave plus public and bank holidays (pro rata).
• Private healthcare (discounted).
• Tax-efficient cycle-to-work programme.
• Discounts on retail, health, leisure, and travel services.