Senior Full-Stack Data Scientist: Pipelines, ML, Equity

Senior Full-Stack Data Scientist: Pipelines, ML, Equity

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
Model ML

At a Glance

  • Tasks: Own the entire data stack, from ETLs to analytics and insights.
  • Company: Join Model ML, a fast-growing AI platform with a focus on innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborate directly with founders and engineering in a dynamic environment.
  • Why this job: Make a real impact by empowering data-led decisions across various teams.
  • Qualifications: 4+ years of full-stack data experience with strong Python and SQL skills.

The predicted salary is between 63000 - 77000 £ per year.

Model ML, a fast-growing AI platform, seeks a data-driven professional to own the entire data stack—from ETLs and modeling to analytics and self-serve insights.

You will build production-grade pipelines, models, and dashboards, working directly with founders and engineering to empower data-led decisions across product, customers, and operations.

Ideal candidates have 4+ years of full-stack data experience, strong Python and SQL skills, and dbt expertise.

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Senior Full-Stack Data Scientist: Pipelines, ML, Equity employer: Model ML

Model ML is an exceptional employer, offering a unique opportunity to work at the forefront of AI innovation in the heart of London. With direct access to experienced founders and a culture that prioritises high trust and impact, employees can expect to grow rapidly while shaping the future of enterprise AI marketing. The competitive salary, meaningful equity, and performance-based incentives further enhance the appeal of joining a team dedicated to building something iconic.

Model ML

Contact Details:

Model ML Recruitment Team

We think you need these skills to ace Senior Full-Stack Data Scientist: Pipelines, ML, Equity

ETL Development
Machine Learning
Data Analytics
Dashboard Creation
Python
SQL
dbt