Applied Data Scientist, Autonomous Driving Analytics

OpenDigital Limited

Greater London

Hybrid

GBP 70,000 - 120,000

Full time

14 days+
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Job summary

Wayve in London is seeking a Data Scientist to partner with AI engineers, developing actionable insights to improve the Wayve AI Driver. You will analyse real and simulated driving data to enhance functionality, safety and performance, supporting the company’s lead position in end-to-end AI for autonomous mobility.

Responsibilities include formulating performance metrics for engineering progress, designing off-road experiments to meet product requirements, and investigating training and

Qualifications

  • 3+ years experience working in a Data Science role.
  • Fluent in querying and building large datasets, writing prod-level SQL.
  • Experience designing robust real-world experiments (e.g. A/B).
  • Foundations in statistics: distributions and frequentist assumptions.
  • Proficient in Python (pandas, sklearn, statsmodels, scipy) or R (dplyr, caret, stats).
  • Able to summarise, visualise and communicate findings clearly.
  • Track record of influencing team direction.
  • Bias towards deriving actionable insights for prioritisation.
  • Comfortable working asynchronously across time zones.
  • Curious about building something new and AV2.0.

Responsibilities

  • Formulate and iterate performance metrics that guide engineering progress.
  • Design experiments and off-road measurements to meet product requirements.
  • Investigate factors in model training and inference to unlock improvements.

Skills

SQL
Experiment design
Statistics basics
Python data science
Data visualization
Influence findings
Cross-team collaboration
Curiosity/initiative

Tools

PyTorch
Spark
Hadoop

Job description

Wayve in London is seeking a Data Scientist to partner with AI engineers, developing actionable insights to improve the Wayve AI Driver. You will analyse real and simulated driving data to enhance functionality, safety and performance, supporting the company’s lead position in end-to-end AI for autonomous mobility.

Responsibilities include formulating performance metrics for engineering progress, designing off-road experiments to meet product requirements, and investigating training and

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