Data Scientist, Toyota Connected

• 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

Desirable

• Contract until the end of the year (likelihood of extension)
• 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
• 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