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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: Competitive salary, flexible working, and a chance to shape the future of data science.
- Why this job: Make a real impact in the mobility industry with cutting-edge technology.
- Qualifications: Experience in machine learning, Python, SQL, and strong problem-solving skills.
- Other info: Be part of a dynamic team with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Interim Data Scientist Immediate Start - Outside IR35 Farringdon, London
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 - 12 Month Fixed Term in City of London employer: TOYOTA Connected
Contact Detail:
TOYOTA Connected Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - 12 Month Fixed Term in City of London
✨Tip Number 1
Network like a pro! Reach out to people 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 predictive modelling. Use platforms like GitHub to share your code and demonstrate your expertise in Python and machine learning techniques.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss your experience with applied machine learning and how you’ve tackled real-world challenges. Practice explaining complex concepts in simple terms – it’ll impress your interviewers!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact in the mobility industry. Keep an eye on our careers page for the latest opportunities and get your application in early!
We think you need these skills to ace Data Scientist - 12 Month Fixed Term in City of London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for big data and the mobility industry shine through. We want to see how you can leverage your skills to make user experiences more fun and efficient!
Highlight Relevant Experience: Make sure to showcase your hands-on experience with applied machine learning and any work you've done with telematics or mobility data. This is your chance to demonstrate how your background aligns with what we're looking for.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the role. Remember, we’re looking for self-starters who can adapt to change!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at TOYOTA Connected
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning and data science skills, especially around time-series and telematics data. Be ready to discuss specific models you've built and the impact they had. This shows you're not just a theorist but someone who can apply knowledge practically.
✨Show Off Your Coding Skills
Since proficiency in Python and SQL is key, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with libraries like TensorFlow and Keras, as they could come up in conversation.
✨Be a Team Player
This role involves collaboration with engineering and product teams, so highlight your experience working cross-functionally. Share examples of how you've successfully worked with others to solve problems or deliver projects. It’s all about showing you can communicate and collaborate effectively.
✨Embrace the Flexibility
As a self-starter, you’ll need to adapt to changes quickly. Prepare to discuss times when you've had to pivot or adjust your approach in a project. This will demonstrate your ownership mentality and ability to thrive in a dynamic environment, which is crucial for this role.
