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Head of Data Science

Data Idols

City Of London

Hybrid

GBP 110,000 - 120,000

Full time

Yesterday
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Job summary

A high-growth tech company in the United Kingdom seeks a Head of Data Science to lead a team of data scientists and shape the data strategy. The role entails driving the transition towards machine learning engineering and ensuring alignment with company-wide objectives. Candidates should have proven leadership in data science or machine learning, strong experience in deploying models at scale, and the ability to mentor team members. This position offers a competitive salary of £110K - £120K plus bonus.

Qualifications

  • Proven leadership experience in data science or machine learning.
  • Strong background in building and deploying ML models in production.
  • Ability to structure and lead embedded data science teams.

Responsibilities

  • Lead a growing team of 6+ data scientists.
  • Set technical direction and align with company OKRs.
  • Drive the transition towards machine learning engineering.

Skills

Leadership experience in data science or machine learning
Building and deploying ML models at scale
Ability to structure and lead embedded teams
Technical expertise with Databricks, Python, Spark, and GCP/BigQuery
Engineering mindset
Mentorship and career development skills

Tools

Databricks
Python
Spark
GCP/BigQuery
Job description
Head of Data Science

Salary: 110K - 120K + bonus

Location: Manchester 2-4 days a month

The Opportunity

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

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 transition towards machine learning engineering, championing end-to-end 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 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, and GCP/BigQuery
  • 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

If you are looking for a new challenge, then please submit your CV for initial screening and more details.

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