Lead Data Scientist

Data Idols
London, United Kingdom
Last month
£85,000 – £95,000 pa

Salary

£85,000 – £95,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Lead
Education
Degree
Posted
3 Jun 2026 (Last month)

Benefits

Equity

Lead Data Scientist

London - Hybrid

£85,000 - £95,000 + Equity

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

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 structuresIf 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.

Lead Data Scientist

Related Jobs

View all jobs
Spotlight

Senior Machine Learning Scientist

Chattermill London, United Kingdom
Remote
Spotlight

Business Development Manager – New Business Sales

SenseAI Liverpool, Merseyside, United Kingdom
Hybrid
Spotlight

Director of Technology - AI

Digital Catapult Bristol, County Of Bristol, United Kingdom
£110,000 – £130,000 pa Hybrid

Lead Data Scientist

Faculty AI London, United Kingdom
Hybrid

Lead Data Scientist

Faculty AI London, United Kingdom
Hybrid

Lead Data Scientist

Artis Recruitment Bristol, Bristol (county), United Kingdom
£70,000 – £80,000 pa Hybrid

Lead Data Scientist

Lloyds Banking Group Manchester, United Kingdom
£92,701 – £109,060 pa Hybrid Clearance Required

Lead Data Scientist

Yolk Recruitment Cardiff, Cymru / Wales, CF10 2AF, United Kingdom
£100,000 – £110,000 pa Hybrid

Lead Data Scientist - Customer Development

Faculty AI London, United Kingdom
Hybrid

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.