Data Scientist - Interim Data Science London

TOYOTA Connected • TRAFFIC • London, Not Specified, United Kingdom • 3d ago

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 InterimData 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 andadaptable 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

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