Job Description
At TomTom, we power billions of location-based decisions every day. The Location Analytics team sits at the intersection of maps, traffic, and data science, building analytical products that help enterprises, governments and partners understand how the world moves.
Our portfolio includes Traffic Stats, Historical Traffic Volumes, Origin–Destination Analysis, Junction Analytics, Area Analytics, Route Monitoring, and Road Safety Analytics products, and is evolving towards an AI‑ first location intelligence platform.
Our mission is to turn TomTom’s market‑ leading map, traffic, and mobility data into high‑ quality, actionable insights that help governments, enterprises, and partners make better, data‑ driven decisions at scale. We build analytics platform and APIs that combine large, diverse location datasets and make them easily accessible through modern, AI‑ first and developer‑ friendly interfaces. Our work enables customers to answer complex location questions, discover patterns, and generate insights that go beyond raw data - from road safety and traffic optimization to insurance and smart cities use cases.
What you'll do:
- Design, develop, and implement predictive models, algorithms, and statistical analyses for large-scale, spatio-temporal datasets to uncover patterns and trends within data.
- Collaborate with cross-functional teams to identify business challenges and formulate data-driven solutions that drive innovation and optimize performance.
- Partner closely with Software Engineers and UX designers to productize models, integrate them into scalable pipelines and APIs, and power intuitive, customer‑ facing front‑ end applications.
- Work with big data technologies and distributed computing frameworks to process and analyze large volumes of location data
- Communicate complex technical concepts and insights to both technical and non-technical stakeholders effectively.
What you'll need:
- A Bachelor’s or Master’s degree in computer science, mathematics, statistics, or a related field.
- 5+ years of experience working as a Data Scientist, ideally at a product-focused software company.
- Knowledge of statistics and experience using statistical packages for analyzing data sets and applying predictive analytics.
- Strong expertise in programming languages such as Python, (Java is also heavily used in our team) along with experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and SQL.
- Experience with reporting tools (e.g. PowerBI).
- Familiarity with Azure technologies (e.g. Power BI, Databricks).
- Strong communication and collaboration skills, with the ability to effectively present findings to technical and non-technical stakeholders.
- Demonstrated ability to lead projects and mentor junior team members, fostering a culture of learning and innovation.
What we offer
A competitive compensation package, of course.
Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O’Reilly and LinkedIn Learning.
Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.
Work flexibility, where TomTom’ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It’s all about getting the best out of both worlds – we ask TomTom’ers to come to the office two days a week, and the remaining three are free to be worked in either location.
Improve your home office with a setup budget and get extra support with a monthly allowance.
Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we’re mapping.
Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.
Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.
Become a part of our inclusive global culture and have the chance to collaborate with a diverse community – we have over 80 nationalities at TomTom!
Find out more about
our global benefits and enjoy additional local benefits tailored to your location.
Meet your team
We’re Maps, a global team within TomTom’s Location Technology Products technical unit. Our team is driven to deliver the most up-to-date, accurate and detailed maps for hundreds of millions of users around the world. Joining our team, you’ll continuously innovate our mapmaking processes, directly contributing to our vision: engineering the world's most trusted and useful map.
At TomTom...
You’ll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.
Work with a team of 3,300+ unique, curious and passionate problem-solvers. Together, we’ll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.
After you apply
Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out
our hiring FAQs
TomTom is an equal opportunity employer
TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, you No matter your culture or background, you’ll find your impact at TomTom. Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we’d love to hear from you.
