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- Tasks: Lead data modelling solutions and develop predictive models for smart mobility.
- Company: Join Toyota Connected Europe, a pioneer in big data for mobility.
- Benefits: Immediate start, competitive pay, and the chance to work with cutting-edge technology.
- Why this job: Make a real impact on user experience in the mobility industry.
- Qualifications: Experience in machine learning, Python, SQL, and strong problem-solving skills.
- Other info: Collaborative environment with opportunities for innovative projects.
The predicted salary is between 36000 - 60000 £ per year.
Are you passionate about seizing the opportunities that big data brings to the mobility industry? Join us as an Interim Data Scientist at Toyota Connected Europe. We are a new company created to bring big data into various aspects of mobility. You will leverage telematics data from vehicles to build models for B2B and B2C mobility solutions. By doing so, you will make user experience more fun, efficient and safe.
What would you be doing?
- Act as a Data Science SME – Lead the design and implementation of modelling solutions, advising teams on feasibility, trade-offs, and impact
- Develop predictive models for mobility – Build and refine ML models using telematics and time-series data to power smart, connected mobility use cases
- Deploy and maintain models – Collaborate with Data Engineering to optimise, deploy, and monitor models in production environments
- Apply best practices in MLOps and workflow automation – Implement scalable, reproducible pipelines using modern tooling and GenAI to streamline internal processes
- Conduct applied research – Deliver experimental projects that may evolve into commercial or customer-facing opportunities
- Collaborate cross-functionally – Work closely with Product and Engineering to ensure solutions address real customer needs and drive business value
What are we looking for from you?
- Hands-on experience in applied machine learning and data science, ideally involving time-series, telematics, or mobility data
- Strong modelling skills across a range of techniques – from statistical methods to deep learning, including generative AI solutions
- Proficient in Python and SQL, with solid knowledge of key libraries and frameworks (e.g., TensorFlow, Keras, Spark, LangChain)
- Strong software engineering foundations, including experience delivering code through CI/CD pipelines in cloud environments
- Solid grounding in linear algebra, statistics, and mathematics
- A natural problem-solver – curious, analytical, and impact-driven
- Proven ability to work collaboratively with engineering and product teams in cross-functional settings
What would push your application to the top of the list?
- Experience working with telematics data
- Knowledge of EV charging infrastructure or fleet operations
- Experience working on automotive/mobility use cases
Data Scientist - Contract employer: Toyota Connected Europe
Contact Detail:
Toyota Connected Europe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Contract
✨Tip Number 1
Network like a pro! Reach out to folks in the mobility and data science sectors on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving telematics or machine learning. Use platforms like GitHub to share your code and models. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science and mobility. Practice common interview questions and be ready to discuss your past projects in detail. We want to see your passion and expertise shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Tailor your CV and cover letter to highlight your experience with data science and mobility solutions. Let’s get you that dream role at Toyota Connected Europe!
We think you need these skills to ace Data Scientist - Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Interim Data Scientist. Highlight your experience with telematics data and machine learning models, as well as any relevant projects that showcase your skills in the mobility industry.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about big data in mobility. Share specific examples of how you've leveraged data to solve problems or improve user experiences, and don’t forget to mention your collaborative spirit!
Showcase Your Technical Skills: We want to see your hands-on experience! Be sure to list your proficiency in Python, SQL, and any key libraries like TensorFlow or Keras. If you’ve worked with CI/CD pipelines or cloud environments, shout about it!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to see your enthusiasm and ensure your details are in the right hands!
How to prepare for a job interview at Toyota Connected Europe
✨Know Your Data
Before the interview, dive deep into the types of data you'll be working with, especially telematics and time-series data. Familiarise yourself with how these data types can be leveraged in mobility solutions, as this will show your passion and understanding of the role.
✨Showcase Your Modelling Skills
Be prepared to discuss specific modelling techniques you've used in the past. Whether it's statistical methods or deep learning, have examples ready that demonstrate your hands-on experience and how you’ve applied these skills to solve real-world problems.
✨Brush Up on Python and SQL
Since proficiency in Python and SQL is crucial for this role, make sure you can talk about your experience with key libraries like TensorFlow and Keras. Consider preparing a small coding challenge or example project to showcase your skills during the interview.
✨Collaborate and Communicate
Highlight your ability to work cross-functionally with engineering and product teams. Prepare examples of past collaborations where you successfully addressed customer needs and drove business value, as this will resonate well with the interviewers.
