or apply directly on Wayve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 26 days Wayve's roles stay open a median of 40 days
- Reposted
- No
- Salary listed
- No 40% of Wayve's roles list one
- Ghost-job risk at Wayve
- high 77 stale, 1 reposted of 169 open
- Hiring momentum
- 201 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Wayve's own greenhouse board since 2026-08-03. Full hiring picture for Wayve.
About this role
As a Senior Data Scientist at Wayve, you will collaborate with engineering teams to develop insights that enhance the Wayve AI Driver's functionality and performance. Your role will involve designing experiments, analyzing data from real and simulated driving, and formulating performance metrics to guide engineering efforts. You will also communicate findings effectively to influence team direction and strategy.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Wayve as an employer.
What you need
- 3+ years experience working in a Data Science role
- Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines
- Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics
- Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats
- Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)
- Well-versed in summarising, visualising and communicating findings in an accessible and compelling way
Nice to have
- Practical experience with machine learning (e.g. PyTorch)
- Track record of promoting statistical rigour and experimental best practices in your prior roles
- Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing
- Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)
- Experience working in a fast-moving tech company or startup.
What you get
- Hybrid working policy combining office and remote work, with 2 days a week in the office.
Worth weighing
- No salary listed
- The role requires working asynchronously across time zones, which may affect work-life balance.
- The company emphasizes a commitment to diversity and inclusion, which may appeal to candidates valuing these aspects.
Summarised from Wayve's posting. Read the full original.
Listed by Wayve on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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