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# Data Science - Manager

- **Company:** Wayve
- **Location:** London, UK (Remote available)
- **Experience:** Experienced
- **Salary:** £80,419.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Distributed Systems, Apache Hadoop, MapReduce, Machine Learning, Apache Spark, Machine Learning Operations
- **Published:** August 23, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5852582590

## About the Role

* 3+ years experience managing a team of 5+ ICs
 * Track record of growing and maintaining high-performing teams
 * A strong data science foundation of your own, including experience applying causal inference methods, whether experimental or observational
 * Track record of building strong working relationships with cross-functional stakeholders and customers, and of turning their needs into team priorities
 * Experience setting technical direction and reviewing the designs and proposals of senior engineers
 * Comfortable planning and communicating roadmaps, and managing delivery and expectations with demanding customers
 * Comfortable working asynchronously across time zones with cross-functional partners
 * You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it

Desirable

 * Experience building or scaling an applied or embedded data science function, including the technology and tooling that lets a team scale beyond headcount
 * Familiarity with simulation, offline evaluation, or measurement for ML systems, ideally generalising across vehicle platforms and sensor stacks
 * Practical experience with machine learning (e.g. pytorch), and a track record of taking research ideas to production
 * Track record of promoting statistical rigour and experimental best practice across a team
 * Prior experience with large datasets and distributed computing (e.g. spark, hadoop or other map-reduce tech)
 * Experience working in a fast-moving tech company or startup

## Description

* Set and align priorities with stakeholders across Autonomy, and maintain provisional 3/6/12 month roadmaps that balance customer demand against team capacity
 * Work with your technical leads and senior engineers to review technical proposals and designs, holding a high bar for statistical rigour and eval fidelity
 * Monitor status and delivery cadence, surface schedule slippage early, and manage the trade-offs with customers
 * Grow the team: hire and onboard new data scientists, and invest in the tooling and automation that let the team scale beyond headcount alone
 * Guide career growth conversations with your engineers, matching business needs to development opportunities and building out progression pathways
 * Build the cross-functional relationships that keep the team close to its customers and ahead of where support will be needed


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