Requirements

• Significant experience in Data Science (or similar) roles.
• A pragmatic and adaptable approach, with a strong focus on delivering impact efficiently at pace.
• Excellent people skills — you'll be meeting with a range of both technical and non-technical stakeholders to translate business needs into data science problems.
• Experience leading both simple and more complex experiment designs, with the ability to proactively unpick insights to steer strategic decision making.
• Great communication skills - in person, in writing, in code; to technical and non-technical audiences.
• Through solid analysis, provide clear and actionable recommendations that influence the team's roadmap.
• Effective problem-solving, demonstrating an ability to successfully address complex and ambiguous challenges.
• Ability to think creatively and insightfully about business problems.
• Proficiency with analytical tools like R/Python and familiarity with SQL. Proficiency with Cursor/AI tools to deliver impactful, high quality work efficiently is also valued.

What You'll Be Doing

• Proactive Impact Delivery: You will independently identify, define, and deliver impactful work that aligns with business goals and metrics, operating with minimal guidance to provide high value to your team and the broader organisation. You will own delivery end-to-end, ensuring the delivery of fast, high-quality, solutions that meet business needs.
• Navigating Ambiguity and Complexity: You will excel at deconstructing broad, ambiguous problem spaces into structured technical roadmaps, managing projects that require both deep team-specific rigour and an understanding of how they intersect with adjacent systems.
• Strategic Technical Execution: Drive strategic decision-making by selecting the most effective tool or method for the task, maintaining a focus on high-quality execution and measurable results. You will act as a well-trusted strategic partner to stakeholders, using analytics, effective communication and domain expertise to influence roadmaps.
• Experimentation and measurement: Design and lead measurement strategies that drive product direction, ranging from simple A/B tests to complex experimental designs. You will be equally capable of applying alternative causal inference techniques when standard trials aren't feasible, ensuring the business moves based on data-driven insights.
• Organisational Alignment: Actively contribute to the broader Analytics community, driving L+D initiatives and cross-functional collaboration. You will ensure we are delivering the "right" things org-wide by aligning technical work with overarching business strategy and shared best practices.

Perks and Benefits

• 🔧 Solve meaningful problems at real scale. Work on a complex, always-on marketplace that impacts millions every day.
• 🌱 See your impact, fast. Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
• 🧠 Grow through challenge and ownership. Take on big, ambiguous problems and accelerate your career with strong support.
• 🌎 A culture built for builders. High standards, collaboration, flexible working, and continuous learning.
• 💰 Share in the success you help create. Competitive salary and equity options, so you're rewarded for the impact you make.