Data Scientist Data Quality and Provenance
Wayve is a London-headquartered embodied-AI company developing and licensing mapless, vehicle-agnostic driving software for assisted, automated, and robotaxi applications.
About Wayve
Wayve Technologies Ltd. develops the Wayve AI Driver, an end-to-end, data-trained software platform that runs on onboard vehicle compute and native sensors. It is designed for OEM integration across L1 driver assistance through L4 automated driving, without HD maps.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will partner with engineering teams to produce insights that improve driving-model functionality, safety, and performance. You will develop performance metrics, design experiments and off-road measurements, analyze training and inference bottlenecks, validate hypotheses, and communicate findings that shape priorities and strategy.
Requirements
- 3+ years in a data science role
- SQL
- Large-scale dataset development
- Data-transformation pipelines
- Real-world experiment design
- A/B testing
- Statistical testing
- Python
- Pandas
- scikit-learn
- statsmodels
- SciPy
- R
- Data visualisation
- Machine learning
- PyTorch
- Causal inference
- Econometrics
- Bayesian methodology
- Distributed computing
- Spark
- Hadoop
Responsibilities
- Formulate and refine performance metrics
- Design experiments and off-road measurements
- Investigate training and inference bottlenecks
- Identify and validate hypotheses for performance improvements
- Summarise, visualise, and communicate findings
- Influence team direction through data-driven insights
Benefits
- Hybrid working policy
- Core working hours with schedule flexibility
