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Head of Data Science

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: Data Idols
Full Time position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 110000 - 120000 GBP Yearly GBP 110000.00 120000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Head of Data Science

Salary: £110K - £120K + bonus

Location: Manchester, 2-4 days a month

Overview

We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combinedញ្ជ? reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline.

Responsibilities

As Head of Data Science, you’ll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You’ll drive the transitionanchement towards machine learning engineering, championing end-to-end ympäris? model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance.

Skills

and Experience
  • Proven leadership experience in data science or machine learning, ideally within product‑led or consumer‑facing organisations
  • Strong background in building and deploying ML models at scale in production Gov environments
  • Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains
  • Hands‑on technical expertise with tools such as Databricks, Python, Spark, GCP/Big Query
  • Engineering mindset, with experience moving teams toward machine learning engineering best practice
  • Credibility to lead long‑tenured individual contributors while providing direction, mentorship and career development
Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industry

Data Infrastructure and Analytics

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