Data Science - Manager

Wayve; London (KY); Hybrid; USD 149,000 - 230,000; Full time

Job summary

Wayve is seeking a manager for its applied methods Data Science team based in the UK. You will lead data scientists delivering evals and insights to accelerate autonomous mobility development.

You will broaden impact, speed delivery, and scale through headcount and tooling, shaping AV2.0 ambitions and cross-functional partnerships with Autonomy. You will hire, guide career growth, and ensure rigorous experimental standards while collaborating with engineers and stakeholders across time zones.

Qualifications

• Experience leading a 5+ IC data science team for 3+ years.
• Ability to translate stakeholder needs into team priorities.
• Proven track record in causal inference applications and experimental design.

Responsibilities

• Set and align priorities with stakeholders and craft 3/6/12 month roadmaps.
• Review proposals and designs with senior engineers, ensuring rigorous evals.
• Monitor delivery cadence and surface schedule slippage early.
• Grow and onboard data scientists; invest in tooling to scale.
• Guide career growth and build progression paths for engineers.
• Foster cross-functional relationships close to customers.

Skills

Team management

Causal inference

Roadmap planning

Cross-functional collaboration

Statistical rigor

ML knowledge

Scaled delivery

Tools

PyTorch

Spark

Hadoop

Job description

The role

As the manager of our applied methods Data Science team, based in the UK, you will lead a group of data scientists who act as trusted partners to the Autonomy org. Your team turns experimental and observational analysis of real and simulated driving into the evals and insights that let engineering teams hill-climb rapidly towards our customer commitments. Your remit is to broaden that team's impact, speed up its delivery, and scale it through both additional headcount and technology, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.

Key responsibilities:

• 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

About you

Essential

• 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

This is a full-time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.