Data Science Manager

Who you are

• 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
• 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

What the job involves

• 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
• 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

Benefits

• Private healthcare: Choose our optional health insurance for comprehensive coverage for you and your family.
• Paid time off: Paid vacation plus public holidays and additional leave programs, ensuring you have time to unwind.
• Mental health resources: Through Spill, you can access therapy and mental health support.
• Community and socials: Join clubs or attend team socials to connect over hobbies, sports, or just for fun.
• Competitive compensation: Our compensation package includes cash and equity, making you a true partner in our success.
• Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.