Lead Data Scientist

Harnham
Leicester, LE1 5YA, United Kingdom
2 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Faculty AI London, United Kingdom
£0 pa Hybrid

Lead Data Scientist

Faculty AI London, United Kingdom
£0 pa Hybrid

Lead Data Scientist

Exposed Solutions Fitzrovia, London, W1T 5EE, United Kingdom
£60,000 – £80,000 pa Remote

Lead Data Scientist

Exposed Solutions Hermiston, Alba / Scotland, United Kingdom
Remote

Lead Data Scientist

Exposed Solutions Fitzrovia, W1T 5EE, United Kingdom
Remote

Lead Data Scientist

CV-Library Hermiston, City of Edinburgh
Remote
Posted
11 Feb 2026 (2 months ago)
Lead Data Scientist

2 days ago Be among the first 25 applicants


We're partnering with a well‑established eCommerce organisation based in Leicester that is expanding its data capability. They're looking for a Technical Lead Data Scientist to play a key role in shaping, delivering, and scaling high‑impact data science solutions across the business.


This is a hands‑on leadership role where you'll combine deep technical expertise with the ability to guide teams and influence senior stakeholders.


What you'll be doing:

  • Lead end‑to‑end development, deployment, and optimisation of data science projects in a production environment.
  • Design and build advanced machine learning models using customer data, including churn prediction, customer segmentation, and recommendation systems.
  • Provide technical leadership and mentorship to data scientists, setting best practices and raising overall capability.
  • Collaborate closely with stakeholders across the business, from C‑suite executives to junior team members, translating complex technical concepts into clear, actionable insights.
  • Help shape the data science roadmap and contribute to strategic decision‑making within the organisation.

What we're looking for:

  • 4+ years of commercial experience working as a Data Scientist.
  • Strong programming skills in Python and SQL, with hands‑on experience using PyTorch and TensorFlow.
  • Proven experience working on customer‑focused or personalisation‑driven data science problems (e.g., churn, recommendations, segmentation).
  • Excellent communication skills, with the confidence to engage and influence both technical and non‑technical stakeholders.
  • Experience leading projects or providing technical direction to others (formal leadership not essential).

Location: Leicester (Hybrid)


Employment type: Full‑time


Seniority level: Mid‑Senior


Industries: Retail Apparel and Fashion


Referrals increase your chances of interviewing at Harnham by 2x


Get notified about new Lead Data Scientist jobs in Leicestershire, England, United Kingdom.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.