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Data Scientist, Data Quality & Provenance Team

wayveLeonberg, GermanySimulation, Evaluation, Validation
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Salary
Not listed
Job type
Full-time
Posted
2 Oct 2026
Status
Open · checked 8d ago

About this role

Wayve is hiring a Data Scientist for the Data Quality & Provenance Team based in Leonberg, Germany, to build statistically robust methods and metrics for embodied AI systems. This role suits professionals with strong foundations in classical statistics and Python who want to shape data quality standards for autonomous driving technology.

Role Overview

The Data Scientist position sits within Wayve’s Data Quality & Provenance team inside the AI Platform organisation. The role focuses on developing methods, metrics, and tools to evaluate data quality, annotation signals, and model performance for embodied AI systems.

Key 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.

Requirements

Strong foundations in classical statistics, including experimental design, sampling, modelling, estimation, and inference.
Practical experience with rater or annotator modelling, inter-rater agreement, label uncertainty, or related methods.
Understanding of data quality across dimensions such as coverage, label quality, uncertainty, provenance, and model performance.
Experience working with annotation tooling, QA methodologies, human-in-the-loop ML systems, or multi-rater labelled datasets.
Strong Python and SQL skills with confidence in analysing large, complex datasets.
Ability to turn ambiguous stakeholder questions into rigorous, usable metrics and clearly communicate uncertainty, limitations, and decision implications.

Nice to Have

Experience with probabilistic or Bayesian modelling.
Experience with production platform integrations.
Experience with safety-critical data.

Skills and Tools

Python
SQL
Bayesian modelling
Probabilistic modelling
Multi-rater annotation systems

Salary and Benefits

Salaries benchmarked annually against the market.
Meaningful equity providing company ownership.
Relocation support and visa sponsorship where applicable.
Hybrid working model with core hours.
Learning and development budgets for training and conferences.
Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension options, access to therapists, and wellbeing partnerships.

About the Company

Wayve builds the embodied intelligence that moves real vehicles safely and develops a mapless and hardware-agnostic AI platform for autonomous driving. The company enables vehicles to learn directly from real-world experience to navigate complex urban environments. Wayve operates main hubs in London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg.

How to Apply

Candidates should apply on the official Wayve careers page.

Skills and tech stack

PythonSQL

Questions candidates ask

Where is this role located?

This role is based in Leonberg, Germany, within a hybrid working model.

What core technical skills are required?

The role requires strong Python and SQL skills, alongside solid foundations in classical statistics and experience with rater or annotator modelling.

What does the Data Quality & Provenance team do?

The team builds evidence to help teams make confident data decisions by developing statistically robust methods, metrics, and tools to assess data quality and annotation signals.

Is visa sponsorship available?

Yes, relocation support and visa sponsorship are available where applicable.

What interview steps are involved in the hiring process?

The process includes an initial recruiter screen, competency interviews covering Python programming and data curation, deep-dive interviews with the hiring manager and on systems design, and a final mission and values alignment interview.

Ready to apply?

The application is on the official wayve careers page.

Apply on company site