Applied Data Science Manager — Autonomous Mobility

Wayve

Greater London

Hybrid

GBP 110,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Relocation support
Visa sponsorship
Hybrid working
Health insurance
Dental
Enhanced maternity leave
Enhanced paternity leave
Pension / retirement plan
Therapist access
Wellbeing partnerships
Team socials

Job summary

Wayve in London is seeking a Data Science Manager to lead the Applied Methods Data Science team, partnering with Autonomy to turn experiments and observational analysis into evaluative insights for engineering delivery.

You will grow the team, set direction, review proposals, and build strong cross-functional relationships while scaling tooling and automation to support measurable progress toward customer commitments.

Qualifications

  • Three or more years’ experience managing a team of five or more individual contributors.
  • Track record of growing and maintaining high-performing teams.
  • Strong data science foundation, including causal-inference methods in experimental or observational settings.
  • Built strong working relationships with cross-functional stakeholders and customers, translating their needs into clear team priorities.
  • Experience setting technical direction and reviewing designs and proposals from senior engineers.
  • Comfortable planning and communicating roadmaps, and managing delivery and expectations with demanding customers.
  • Able to work asynchronously across time zones with cross-functional partners.
  • Deeply curious about building something new and excited to help define AV2.0 and how Wayve builds it.

Responsibilities

  • Set and align priorities with stakeholders across Autonomy, maintaining provisional three-, six-, and 12-month roadmaps that balance customer demand with team capacity.
  • Review technical proposals and designs with senior engineers to maintain a high bar for statistical rigour and evaluation fidelity.
  • Monitor delivery status and cadence, surface schedule risks early, and manage trade-offs with customers.
  • Grow the team by hiring and onboarding data scientists, while investing in tooling and automation to scale beyond headcount.
  • Guide career-growth conversations, matching business needs with development opportunities and progression pathways.
  • Build cross-functional relationships that keep the team close to its customers and anticipate support needs.

Skills

Team management
Data science
Causal inference
Stakeholder management
Technical direction
Roadmap planning
Asynchronous collaboration
PyTorch
Distributed computing

Tools

PyTorch
Spark
Hadoop

Job description

Wayve in London is seeking a Data Science Manager to lead the Applied Methods Data Science team, partnering with Autonomy to turn experiments and observational analysis into evaluative insights for engineering delivery.

You will grow the team, set direction, review proposals, and build strong cross-functional relationships while scaling tooling and automation to support measurable progress toward customer commitments.

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