Data Scientist

VUE are industry leaders both in Video Telematics and Insurtech. Our solutions are used every day by some of the UK's biggest fleets and insurers, helping them to improve vehicle safety, reduce road risk and ultimately save lives.

With this at the forefront of everything we do, we are a business that is continually growing and looking to develop. Our team is made up of like-minded, driven individuals, who support each other, are proactive and work together to continually progress whilst striving to provide our customers with exceptional service.

We’re looking for a proactive, business-focused Data Scientist to join our team and help us unlock the full value of our video telematics data. You’ll work closely with product, engineering, and commercial teams to deliver actionable insights, build predictive models, and support data-driven decision-making across the business.

This role is ideal for someone who’s curious, self-directed, and thrives on turning data into real-world impact — not just building the models but making sure they’re used.

We would love to welcome you to our office, with working hours of Monday to Friday, 9am-5pm.

• Work hands-on with large-scale telematics datasets (e.g. GPS, accelerometer, vehicle diagnostics, video) to uncover insights and opportunities.
• Build and deploy predictive models to support driver behaviour analysis, fleet performance, and product optimisation.
• Collaborate with stakeholders to understand business problems and translate them into Data Science solutions.
• Take ownership of projects from Idea to Delivery — including data exploration, modelling, validation, and communicating results.
• Develop dashboards, reports, and visualisations to make insights accessible and actionable.
• Mentor and support a Data Analyst, helping them grow their technical and analytics skills.
• Identify and champion opportunities to improve processes, products, and customer outcomes using data.
• Stay up to date with industry trends in mobility, IoT, and AI, and bring fresh thinking to the team.

• Strong experience with Python, SQL, and machine learning libraries.
• Experience working with time-series, geospatial, sensor or video data — ideally in a telematics, mobility, or IoT context desirable but not essential.
• A self-starter who’s comfortable working independently and pushing projects forward without waiting for direction.
• Experience supporting software development teams with data architecture, pipeline and optimisation.
• Strong communications skills – able to explain technical concepts clearly to non-technical stakeholders.
• Experience mentoring or coaching junior team members.
• Bonus: experience with cloud platforms (e.g. AWS), real-time data processing, video telematics or dashboard tools (Plotly).

• What can you expect of us?
• A friendly culture that mirrors our proposition to our customers.
• A fast-growing organisation that defines itself as being agile and innovative.
• A drive for continuous improvement, which you will be empowered to get behind from day one.
• A hard working, fun, efficient, respectful, positive, supportive, innovative, and ambitious environment.
• A commitment to building an environment that welcomes individuals who embrace progressive values and a "One Team" ethos.

Still Curious?

If you feel we are a good match for each other, you can apply online now. If you’d like to understand more about the role or life at Radius before applying, please contact our talent team via email. Radius is an equal opportunities employer. We are committed to welcoming people regardless of age, disability, gender identity, race, faith or belief, sexual orientation or socioeconomic background. We are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any adjustments or accommodations at any stage of the process, please let us know, and we will do our best to support you. We reserve the right to close a vacancy before the closing date in the event of an overwhelming response or a change in business priorities.

Note to Recruitment Agencies

We do not accept speculative recruitment agency CVs or profiles. Any unsolicited CV received will be treated as a gift and not eligible for an agency fee. PSL agencies should only send CVs via our Applicant Tracking System, when approved to do so by the Radius Talent Team.