At a Glance
- Tasks: Transform complex transport data into engaging visual stories and interactive dashboards.
- Company: Join TfL, a leader in urban transport innovation.
- Benefits: Enjoy free travel, 30 days leave, and a competitive salary.
- Other info: Hybrid working model with excellent career growth opportunities.
- Why this job: Make a real impact on London's transport network while working with cutting-edge technology.
- Qualifications: Experience in data visualisation and strong coding skills required.
Location: Palestra/WFH, Southwark, London SE1, with hybrid working. Hybrid working within this role enables a balance of 50 per cent of time split between the office and home over a 4-week period.
Application closing date: 30 July 2026 @ 2359. All offers of employment are subject to satisfactory right-to-work checks. Candidates must be able to demonstrate their right to work in the UK. At the present time TfL is unable to offer visa sponsorship for this role.
Overview of project/role: At TfL’s Network Performance, we're focused on keeping London moving. Working across one of the world's most complex urban transport networks, we use data, insight and innovative thinking to improve journey time reliability, reduce congestion and support better outcomes for everyone who travels around the capital. From enhancing bus priority and optimising traffic signals to supporting major programmes such as Superloop, our teams work collaboratively to deliver practical, customer-focused improvements that make a real difference to millions of journeys every day.
TfL’s Network Performance team is bridging the gap between complex transport analytics and high-impact stakeholder communication. We sit at the intersection of traffic engineering, data science, and interactive visual media. We are looking for a Senior Transport Visualisation & Data Developer—a hybrid role for someone who understands traffic modelling methodologies and possesses the technical skills to transform heavy datasets into compelling, interactive visual stories.
Key Accountabilities:
- Technical Visualisation: Design and build high-quality 2D/3D visual assets, interactive dashboards (e.g., R Shiny), and game engine environments (Unity) to explain complex transport concepts to non-technical stakeholders.
- Data & Modelling Integration: Develop custom scripts and automation tools to process, clean, and convert large traffic modelling outputs into visual pipelines.
- Cinematic & Spatial Content: Create accurate 3D animations, flythroughs, and visual assets representing proposed engineering and traffic schemes for public consultations, broadcast, and executive briefings.
- Process Optimisation: Collaborate with Transport Modellers to build custom tools and workflows that improve the speed, accuracy, and presentation of traffic models.
- Stakeholder Engagement: Translate detailed transport analysis insights into clear, persuasive visual narratives for decision-makers and the public.
- Standards & Innovation: Drive technical best practices across the team by exploring emerging visual technologies, real-time rendering tools, and data analytics frameworks.
Skills, Knowledge & Experience:
- Skills: Strong coding capability (e.g., C#, Python, R, or C++) to write custom scripts, automate data processing, and handle large transport datasets (Essential).
- Visual & Spatial Design: Methodical approach to creating high-quality visual outputs with a keen eye for accurate spatial presentation, detail, and clear layout (Essential).
- Analytical & Problem Solving: Excellent numeracy and logical problem-solving skills, with a high standard for maintaining clean code and data accuracy (Essential).
- Technical Communication: Strong verbal and written communication skills, with the proven ability to translate complex engineering concepts into accessible visual formats for diverse audiences (Essential).
- Project Prioritisation: Ability to define technical requirements, manage individual deliverables, and deliver high-quality outputs to agreed deadlines (Highly Desirable).
- Knowledge: Working knowledge and clear understanding of standard micro/macro traffic modelling tools (e.g., Vissim, Visum, or LinSig) (Essential).
- Real-Time & Interactive Software: Working knowledge of interactive web applications or game engines used for visual rendering (e.g., Unity, R Shiny, 3ds Max) (Essential).
- Traffic Engineering Principles: Understanding of core traffic management concepts and signal control techniques (Essential).
- Urban Traffic Control (UTC): Awareness of London UTC systems and adaptive control strategies such as SCOOT (Desirable).
- Production Pipelines: Understanding of digital rendering, animation, and video post-production workflows (e.g., Adobe Creative Cloud / After Effects) (Desirable).
- Experience: Practical experience transforming complex raw datasets into interactive visual dashboards, 3D environments, or technical graphics (Essential).
- Traffic & Spatial Data Handling: Experience working directly with traffic modelling outputs, spatial datasets, or transport network data (Essential).
- Client & Stakeholder Presentation: Proven experience conceptualising and presenting visual proposals or technical insights to non-technical decision-makers (Highly Desirable).
- Industry Background: Experience gained within a transport planning, civil engineering, data visualization, or visual effects/design consultancy environment (Desirable).
Education & Qualifications: Relevant degree, HNC, or equivalent practical experience in Traffic Engineering, Computer Science, Data Visualisation, or a related technical discipline (Essential).
Additional information: Interviews for this role are scheduled to take place from 07 September 2026.
Equality, diversity and inclusion: We are committed to equality, diversity and inclusion. We want to represent the city we serve, which will help us become a more innovative and efficient organisation. Our goal is to make our recruitment as inclusive as possible. We are a disability confident employer who guarantee an interview to any disabled candidate who meets all of the essential criteria.
In return for your commitment and expertise, you will enjoy excellent benefits and scope to grow. Rewards vary according to the level of role but mostly include the below:
- Final salary pension scheme
- Free travel for you on the TfL network
- Reimbursement of 75% of the cost of a standard class Ticket for National Rail travel from home
- 30 days annual leave plus public and bank holidays
- TfL is committed to work-life balance, operating a hybrid working approach where business and role requirements allow
- Tax-efficient cycle-to-work programme
- Retail, health, leisure and travel offers
- Discounted Eurostar travel
We will make every effort to give you as much notice as possible, however some interviews/assessments could be organised at short notice.
Vetting Process: At Transport for London, safety, trust and fairness sit at the heart of how we recruit. Our Vetting Charter explains the checks we carry out before you join us, helping ensure we create a safe, inclusive and reliable network for everyone who depends on our services.
Senior Transport Visualisation & Data Developer employer: Future of London
Transport for London (TfL) is an exceptional employer, offering a dynamic work environment that fosters innovation and inclusivity. With a strong commitment to employee growth, TfL provides opportunities for professional development while ensuring a healthy work-life balance through hybrid working arrangements. Employees enjoy generous benefits, including free travel on the TfL network, a final salary pension scheme, and a focus on equality, diversity, and inclusion, making it a rewarding place to build a meaningful career in the heart of London.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Transport Visualisation & Data Developer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Future of London!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Transport Visualisation & Data Developer at Future of London.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Future of London.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Transport Visualisation & Data Developer at Future of London, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Transport Visualisation & Data Developer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Future of London, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Future of London. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Future of London
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Future of London!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
