At TomTom…
You’ll move the world forward. Every day, we create the most innovative mapping and location technologies to shape tomorrow’s mobility for the better.
We are proud to be one team of more than 5,000 unique, curious, passionate problem-solvers spread across the world. We bring out the best in each other. And together, we help the automotive industry, businesses, developers, drivers, citizens, and cities move towards a safe, autonomous world that is free of congestion and emissions.
You are…
passionate about artificial intelligence, statistical analysis, and analytic methods, applying machine learning models to industry problems. You will be part of agile unit and will be collaborating with engineers, data engineers, map and location experts and fellow data scientists.
We look for people who are curious, innovative, out of the box thinker, loves taking risk and work to make system better every day.
What You'll Do
- You will help us collect large amounts of unruly (spatial) data and transform it into a more usable format
- You will solve business-related problems using data-driven techniques
- You will help us to stay on top of analytical techniques such as machine learning, deep learning, and text analytics
- You will identify patterns in data, as well as spotting trends that can help improving the business’s bottom line
- You will communicate and collaborate with both Software Engineers and with the Maps Operations Team globally.
- Dedicate part of your weekly schedule on research and development to acquire new skills, run your own experiments, …
- Work in a mostly-remote and flexible way that will allow you find the perfect work-life balance
- You are enrolled in a Master’s degree in data science, Big Data or any other related field
- You are either an EU citizen OR are enrolled in a Spanish university
- You are fluent in English
- You have programming experience with Python, R and SQL
- You have experience in creating statistical and predictive models using machine learning
- You have experience with data visualization (storytelling) (e.g., Tableau, PowerBI)
- Being familiar with Microsoft cloud computing (Azure & Databricks) or any other cloud experience is a plus!
- You will never get bored! A company culture that likes to work hard and play hard. We like to have fun. There is no sense coming to a job every day if you don’t like the people you work with.
- A diverse, multi-cultural environment
- You will be part of an amazing team of data scientists, always eager to help you learn and grow!
- 1100 €/month (gross salary based on full-time work)
- An internship contract, with a perspective to join the company afterwards
- Live and work in Madrid, a cool city with loads of inspiration!
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 are the Map Visualization Product Unit. We develop map rendering technology that can be integrated into navigation systems and location-based applications, providing our technology to our customers in the form of cloud-based APIs and SDKs.
We see quality-management processes as a source of competitive advantage. As part of our product-led and outcome-oriented culture, we believe it is crucial to have mechanisms in place to measure and improve the quality of our products in a continuous manner so we can achieve our mission of mapping the world in real time.
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 3,700 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.
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Data Scientist
9 de des.NA
Acebeda, La, ES