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Lead Data Scientist

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Data Idols
Full Time position
Listed on 2026-06-11
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Salary/Wage Range or Industry Benchmark: 85000 - 95000 GBP Yearly GBP 85000.00 95000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Data Idols are working with an early-stage technology company looking for a Lead Data Scientist to play a key role in the development of its predictive modelling and machine learning capabilities. This is an opportunity to join at an early stage and have a significant influence on both the product and the direction of the business.

The Opportunity

Lead Data Scientist

London - Hybrid

£85,000 - £95,000 + Equity

As the Lead Data Scientist, you'll take ownership of the machine learning and predictive modelling capability at the heart of the business. Working closely with experienced founders and industry experts, you'll design and build scalable forecasting systems that continuously generate, deploy and improve predictive models.

You'll work with large-scale data, applying machine learning, experimentation and feature engineering to improve prediction accuracy and drive better customer outcomes. You'll also help shape product strategy, establish data science best practices, and build a critical part of the company's technology platform.

This is a high-impact role in a small, ambitious team where your work will directly influence product performance, customer success and the future growth of the business.

Skills and experience
  • Experience building production machine learning models
  • Strong Python and modern ML tooling experience
  • A background in predictive modelling, classification, propensity modelling, churn prediction or related areas
  • Excellent statistical and analytical thinking
  • The ability to thrive in a fast-moving, ambiguous startup environment
  • A desire to own problems end-to-end rather than operate within rigid structures

If you're excited by building from the ground up, solving complex machine learning challenges, and seeing your work directly influence the success of a growing business, we'd love to hear from you. Apply today for an initial conversation and further details.

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