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Senior Data Scientist

ZOE
Department:Data Analysis
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Mid-Senior level
Estimated Salary:£70,000 - £100,000
Skills:
PYTHONPANDASNUMPYSCIKIT-LEARNSQLDBTBIGQUERYAIRFLOWMACHINE LEARNINGAISTATISTICSHYPOTHESIS TESTINGEXPERIMENT DESIGNCAUSAL INFERENCEDATA ANALYSIS
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Job Description

Posted on: November 19, 2025

🚀 About The Role 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: This means turning cutting-edge research into features our members use every day, building intelligent systems that personalize and scale the ZOE experience, and conducting deep-dive analyses that shape product strategy and move science forward.
  • Pivotal Role: By working across these areas, the team plays a crucial role in shaping both what we build and how we deliver value to our members.

🎯 What You’ll Be Doing As a Senior Data Scientist, you will partner directly with Product, Engineering, and Science teams to ensure data is at the core of every decision and feature we release.

  • 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… This is what we believe can help someone thrive in this influential data-driven role.

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

We Value Potential: If you’re excited about ZOE and this opportunity, please don’t hesitate to apply—even if you don’t meet every single requirement. We are committed to supporting growth and development along the way. 📢 Our Intentional Hiring Journey We aim for an efficient and insightful process where you can get to know us, and we can get to know you.

  • Hiring Manager Interview | 45 mins
  • Remote Loop This final stage includes a mix of technical and collaborative interviews. We'll keep you updated at every stage as you progress successfully through each step.
  • Skills Based Interview | 60 mins
  • Cross-Functional Collaboration Interview | 45 mins
  • Leadership & Values Interview | 45 mins

🚀 Ready to thrive? We want to hear from you The experience, skills, and attributes we’ve outlined are what we believe will help someone truly thrive in this role. However, we understand that talent comes in many forms. If you are genuinely excited about ZOE's mission and this opportunity, please don't hesitate to apply—even if you don't meet every single requirement listed. We fundamentally value potential and commitment above all else. We are dedicated to fostering growth and providing opportunities for you to learn and develop alongside us.

Originally posted on LinkedIn

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