Necessary Ventures
Data Scientist, Fleet Operations
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Data Scientist, Fleet Operations
Data Scientist, Fleet Operations
London, United Kingdom Fleet Operations
About Wayve
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment, big problems ignite us—we embrace uncertainty, lean into complexity, and unlock groundbreaking solutions. We aim high and stay humble, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment. We back each other to deliver impact.
Make Wayve the experience that defines your career!
The Role: Data Scientist, Fleet Systems & Insights
As a Data Scientist in the Fleet Systems and Insights team, you will play a critical role in optimising fleet operations through data-driven insights and operational research.
Unlike traditional "black-box" modelling, this role focuses on applying operational research techniques, experimental methods, and causal inference to derive actionable insights that improve operational efficiency and fleet optimisation.
Key Responsibilities
You might be expected to:
- Develop frameworks to synthesise complex operational data (e.g., vehicle performance, route optimisation, and experiment scheduling) at both product and company levels.
- Identify and refine key performance metrics (KPIs) for fleet operations to ensure alignment with broader business goals.
- Design and execute novel experimental methodologies to enhance signal-to-noise ratios and accelerate feedback loops, optimising on-road testing for machine learning advancements.
- Combine experimental techniques with causal inference techniques to rigorously test and optimise operational strategies for maximum impact.
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Requirements
Essential:
- 3+ years of experience in a Data Science role, with a focus on operations research, process automation, or optimisation.
- Proficient in querying and constructing large datasets, including writing production-level SQL for data transformation pipelines.
- Experience designing and evaluating real-world experiments (e.g., A/B testing) to optimize operations and performance.
- Strong understanding of statistical principles, including hypothesis testing, distributions, and assumptions behind statistical methods.
- Proficiency in a statistical scripting language (e.g., Python, R) and relevant packages (e.g., pandas, scikit-learn, statsmodels).
- Excellent ability to summarise, visualise, and communicate data insights clearly and compellingly.
- Proven track record of driving operational improvements and influencing strategy with data-driven findings.
- Primary focus on actionable insights for fleet operations prioritisation and optimisation.
Desired:
- Experience with machine learning and optimisation techniques (e.g., PyTorch, scikit-learn).
- Experience in promoting statistical rigor and experimental best practices in previous roles.
- Familiarity with causal inference, econometrics, or Bayesian methods in operations research.
- Experience with large datasets and distributed computing (e.g., Spark, Hadoop).
- Background in a fast-paced tech or startup environment.
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Working with Wayve
This is a full-time, hybrid role based in our London office. We offer a flexible policy that allows in-office collaboration and remote work to support innovation, culture, branding, and work-life balance.
Wayve is committed to creating an inclusive interview process, and we welcome requests for accommodations or adjustments to ensure full participation.
Diversity isn’t just a value—it’s a highlight of our culture. Applicants are encouraged to apply if they possess the passion to make a difference in autonomous driving, even if not every requirement is met.
Wayve values equality in all areas of business. We take steps to ensure a fair, respectful, and inclusive work environment where all are valued for their unique skills and perspectives:
- Sex, race, religion or belief
- Ethnic or national origin
- Disability
- Age, veteran status, marital or civil partnership status
- Sexual orientation, gender identity
- Pregnancy or related conditions
For more details, visit: 🔗 Careers at Wayve 🔗 Values at Wayve
US candidates: Please review the E-Verify disclaimer for additional requirements.
Diversity Commitment Statement
We do not ask about marriage, pregnancy, or care responsibilities but use optional Diversity, Equity and Inclusion (DEI) Monitoring to refine our hiring strategies for greater fairness.
Note: We reserve the right to withdraw job offer(s) at any time. An Offer of Employment is conditional upon successful completion of background checks and interview scheduling will proceed based on the customs of the industry.
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