Senior Data Scientist

We are looking for a Senior Data Scientist with a genuine curiosity and drive to turn data into valuable insights and innovative features that shape our product and drive impact across the organization. This role is for a proactive generalist with a strong track record of applying data science to solve complex business and product challenges.

The Data Science Team

You’ll be joining the Data Science team at ZOE, a pivotal group that works closely with stream-aligned product squads while dedicating time to high-impact, cross-cutting initiatives that support the wider mission. The team drives three core work streams: science-led features, AI-powered products, and data-driven product development.

Impact: turning cutting-edge research into features our members use every day, building intelligent systems that personalise and scale the ZOE experience, and conducting deep-dive analyses that shape product strategy and move science forward.

Pivotal Role: working across these areas, the team plays a crucial role in shaping what we build and how we deliver value to our members.

What You’ll Be Doing

• Design, build, and deploy data-driven features and ML models that measurably improve our product and user experience.
• Develop and iterate on evaluation frameworks to continuously improve the performance of our AI features.
• Write, test, and maintain clean, production-ready code in Python (pandas, NumPy, scikit-learn) and utilize our data stack (SQL/DBT/BigQuery/Airflow).
• Partner with product managers to run incisive analyses that uncover insights and guide strategic decisions.
• Collaborate with engineers to define data contracts and ensure pipelines meet requirements for granularity, latency, and quality.
• Communicate findings compellingly through decks, dashboards, or Looms to drive data-informed action.
• Take full ownership of your work—from ideation through model development and deployment.
• Champion our scientific yet agile approach: start with a hypothesis, seek evidence, and iterate fast.
• Bring an entrepreneurial mindset to your day-to-day work, always striving to go above and beyond for our mission.

We Think You Would Be Great If You…

• Have 6+ years of professional experience in data science and/or ML engineering.
• Hold a degree in a quantitative field (e.g., Applied Maths, Physics, Statistics, Computer Science).
• Have proven experience building and evaluating ML/AI models and conducting product-focused analyses.
• Have a strong foundation in statistics, including hypothesis testing, experiment design, and causal inference.
• Be hands-on with production-level Python codebases, developing substantial components and features, plus strong SQL skills.
• Have a track record of shipping production code/models and collaborating with engineers in fast-paced environments.
• Comfortable using AI tools to enhance day-to-day productivity—from IDE assistants to prompt engineering.
• Be curious and driven to use data to uncover insights and create business value.
• Have excellent communication and collaboration skills, from delivering clear presentations to stakeholders to conducting deep-dive code reviews.
• Commit to our #ActFast value: optimise for reversible decisions, take smart risks, and move quickly with imperfect data.

Hiring Process

• Hiring Manager Interview – 45 minutes.
• Remote Loop – mix of technical and collaborative interviews.
• Skills Based Interview – 60 minutes.
• Cross-Functional Collaboration Interview – 45 minutes.