Data Scientist

Data Scientist

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Dex

At a Glance

  • Tasks: Design and own core data models, build pipelines, and create a self-serve data platform.
  • Company: Join Dex, a mission-driven tech company connecting talent with opportunity.
  • Benefits: Above-market salary, equity, private healthcare, gym membership, and wellness perks.
  • Other info: Dynamic team culture with regular socials and a focus on personal growth.
  • Why this job: Be a founding data scientist and shape the future of an AI-native company.
  • Qualifications: Experience building data foundations for consumer products and strong analytical skills.

The predicted salary is between 60000 - 80000 £ per year.

Human time and effort is the rarest thing in the universe. Our mission is to close the gap between Talent & Opportunity. We believe that work, and being productive, is part of the human condition. We are building Dex to create a future where technology helps every individual to understand their strengths, interests and unique abilities, and to connect with opportunities where they can thrive.

The Role

Dex runs on data. Our matching, our product decisions, our growth, our commercial bets all depend on understanding what's actually happening across the business. This is a founding role to own the data foundation of Dex end to end: the data models underneath everything, the pipelines that connect our systems, and the data platform that the whole company builds on top of. You'll own how data is modelled, how it flows between our systems, and how internal teams self-serve on top of it. As the first dedicated data hire, you'll set the standards and build the function out behind you as Dex grows.

What You’ll Do

  • Core data modelling: Design and own the core data models that everything else depends on, making them clean, trusted and easy to build on.
  • Modelling at source: Work inside the product and engineering codebase to ensure data is captured and structured correctly from the start.
  • Pipelines: Build and maintain the pipelines that connect our systems, so data flows through the business correctly and reliably.
  • Self-serve platform: Make the data platform genuinely self-serve, so teams can answer their own questions without coming to you.
  • Agents as consumers: Treat agents as first-class consumers of the data layer, structuring data so they can do analytical work accurately and at scale.
  • Metrics that matter: Partner with the team on the metrics that matter, from acquisition and activation through to matching quality and commercial performance.
  • Answers, not just queries: Turn ambiguous business questions into the right data model, the right metric and a clear answer.
  • Standards: Set the standards for data quality, definitions and instrumentation across Dex.

What we’re looking for

  • You've built the data foundation for a consumer product or marketplace before, and you know what good looks like at scale.
  • You're an engineer and an analyst. You can model and pipe the data, and read what it's telling you about the business.
  • Comfortable reading existing code and finding your way through a codebase you didn't write.
  • Fluent across a modern analytics stack, with views on what to use when.
  • Commercially and product minded. You care about the metric and the decision it drives, not just the query.
  • Intelligent, ambitious, with strong judgement. A good person who's fun to work with and makes things happen without being asked.

What we offer

  • Above-market salary.
  • Significant equity.
  • Full private healthcare & dental.
  • Fertility benefits & enhanced parental support.
  • Gym membership & wellness benefits.
  • Regular socials, offsites and an annual trip.
  • MacBook Pro + team kit.
  • A "whatever you need" approach to tools and support.
Dex

Contact Details:

Dex Recruitment Team

We think you need these skills to ace Data Scientist

Data Modelling
Data Pipeline Development
Data Quality Assurance
Analytical Skills
Codebase Navigation
Cloud Data Warehousing
Data Transformation