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Wayve

Data Scientist, Data Quality & Provenance Team

Salary not disclosedHybrid

  • Engineering
  • Leonberg
  • Full time
  • Yesterday
Newly posted

About the role

The Data Quality & Provenance team builds the evidence that helps teams make confident decisions about the data underpinning Wayve's embodied AI systems. You will develop statistically robust methods, metrics, and tools to determine when data quality, annotation, and evaluation signals can be trusted. This role involves partnering with cross-functional teams to translate practical quality questions into defensible metrics and building automated reports to communicate data confidence and limitations.

Responsibilities

  • Define measurable, statistically rigorous concepts of data quality, including coverage, label quality, uncertainty, provenance and model performance.
  • Apply statistical-inference methods to multi-rater annotation, label ambiguity, dataset coverage and black-box model evaluation.
  • Partner with annotation, autonomy and evaluation teams to translate practical quality questions into defensible metrics.
  • Build automated reports that clearly communicate confidence, limitations and appropriate interpretation.
  • Analyse large annotation datasets using Python and SQL to identify quality issues and inform decisions.
  • Iterate on metrics and reporting based on feedback from the teams using them.

Required skills

  • Classical statistics
  • Experimental design
  • Sampling
  • Modelling
  • Estimation
  • Inference
  • Python
  • SQL

Nice to have

  • Probabilistic modelling
  • Bayesian modelling
  • Production platform integrations
  • Safety-critical data

Benefits

  • Health insurance
  • Dental insurance
  • Enhanced maternity leave
  • Enhanced paternity leave
  • Retirement or pension
  • Access to therapists
  • Wellbeing partnerships
  • Learning and development budgets
  • Relocation support
  • Visa sponsorship

About the Company

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. The company aims to make autonomy universal by developing a generalisable driving intelligence that can power any vehicle, anywhere.

Data Scientist, Data Quality & Provenance Team at Wayve · Grasshire