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.
