Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data modelling solutions and develop predictive models for smart mobility.
- Company: Join Toyota Connected Europe, a pioneer in integrating big data into mobility.
- Benefits: Enjoy flexible working arrangements and the chance to shape the future of data science.
- Why this job: Make a real impact in the mobility industry while collaborating with innovative teams.
- Qualifications: Hands-on experience in machine learning, Python, SQL, and strong modelling skills required.
- Other info: Opportunity for extension beyond the initial contract until year-end.
The predicted salary is between 48000 - 72000 £ per year.
Interim Data Scientist Outside IR35 Farringdon, London Until the end of the year (likelihood of extension)
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. You will be joining us at the beginning of TCEU’s journey of building our team and products. This is an opportunity to have significant impact and voice, and co-define the future of data science in the mobility industry. It also means that the role will suit a self-starter with ownership mentality, who is flexible and adaptable to change.
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 - Interim Data Science · London · employer: TOYOTA Connected
Contact Detail:
TOYOTA Connected Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Interim Data Science · London ·
✨Tip Number 1
Familiarise yourself with the latest trends in mobility and telematics data. Understanding how these technologies are shaping the industry will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the data science and mobility sectors. Attend relevant meetups or webinars to connect with people who work at Toyota Connected Europe or similar companies, as personal connections can often lead to job opportunities.
✨Tip Number 3
Brush up on your Python and SQL skills, focusing on libraries like TensorFlow and Keras. Being able to discuss specific projects where you've used these tools effectively can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with MLOps and CI/CD pipelines. Highlight any projects where you've implemented scalable solutions, as this aligns closely with the responsibilities of the role and shows your readiness to contribute from day one.
We think you need these skills to ace Data Scientist - Interim Data Science · London ·
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with machine learning and telematics data. Use keywords from the job description to demonstrate that you meet the specific requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for big data in the mobility industry. Mention specific projects or experiences that showcase your skills in predictive modelling and collaboration with cross-functional teams.
Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and relevant libraries like TensorFlow and Keras. Provide examples of how you've applied these skills in previous roles, especially in building and deploying models.
Highlight Problem-Solving Abilities: Demonstrate your analytical mindset by discussing challenges you've faced in past projects and how you overcame them. This will show your potential employer that you're a natural problem-solver who can adapt to change.
How to prepare for a job interview at TOYOTA Connected
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with machine learning and data science. Highlight specific projects where you've used Python, SQL, and relevant libraries like TensorFlow or Keras, especially in the context of telematics or mobility data.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical thinking and problem-solving skills. Prepare examples of how you've tackled complex data challenges in the past, particularly those that required innovative solutions in a collaborative environment.
✨Understand the Business Context
Research Toyota Connected Europe and its role in the mobility industry. Be ready to discuss how your work as a Data Scientist can directly impact user experience and business value, showing that you understand the bigger picture.
✨Prepare for Cross-Functional Collaboration
Since the role involves working closely with product and engineering teams, think of examples where you've successfully collaborated across functions. Emphasise your communication skills and adaptability to ensure solutions meet real customer needs.
