Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Data Science Manager (Market Research)

ENI – Elizabeth Norman International
London
2 days ago
Create job alert

Data Science Manager(This role may also be called Analytics Manager or Marketing Sciences Manager in other research businesses)

Location:London (Hybrid, 2 days per week in office)

Salary:Up to £65k plus bonus and benefits

Type:Full-time, Permanent


Are you an experienced data scientist looking to step into a role with real impact and visibility?


We're hiring aData Science Managerto join a growing analytics team delivering insights across public policy, consumer behaviour & brand strategy.


The role is working in a growing market research and consultancy group.


This position blends technical depth with consulting and communication skills. It’s ideal for someone who enjoys solving complex problems, leading projects and translating data into clear, actionable insights.


You’ll work across advanced market research techniques, segmentation, max diff, conjoint, pricing, Turf etc within a collaborative team that values curiosity, learning and innovation.


What you'll be doing:

  • Leading end-to-end data science projects, primarily using survey data
  • Translating business questions into analytical solutions with practical impact
  • Mentoring junior analysts and supporting team learning and development
  • Presenting findings to clients and internal stakeholders in a clear and engaging way
  • Exploring new approaches, including machine learning and AI
  • Collaborating with colleagues across disciplines to design the right solutions


What we’re looking for:

  • At least 3 to 5 years of experience in data science, with a strong focus on survey data
  • Professional-level proficiency in Python or R
  • Strong understanding of statistical and machine learning methods such as clustering and regression
  • Hands-on experience with segmentation and preferably conjoint analysis
  • Ability to communicate complex methods and results in plain English
  • Experience leading projects and building relationships internally and externally
  • A collaborative, proactive approach to solving problems


Nice to have:

  • Experience or interest in public sector, policy, or current affairs
  • Exposure to AI or automation tools and approaches
  • Familiarity with text analytics, CRM data, forecasting, or behavioural modelling
  • Understanding of marketing science methods such as TURF or key driver analysis
  • Background in a relevant subject such as data science, economics, psychology, or engineering, with a quantitative element


This role involves much more than just writing code. You’ll be working directly with clients and internal teams, helping shape methodologies, advise on strategy, and bringing insight to life. It’s a fast-paced, varied environment perfect for someone who thrives on both technical work and being client facing.


The team and culture:

  • Hybrid working setup with two office days per week (Thursdays are team days)
  • Seven-person data science team with diverse academic and industry backgrounds
  • Strong focus on innovation and continuous learning, with six hours per week set aside for personal development
  • Collaborative culture with visibility and input across the wider business


Apply below

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager – Insights Consultancy

Data Science Manager (Market Research)

Data Science Manager (Market Research)

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.

Automate Your AI Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

If you’re searching for AI jobs in 2025, you’re juggling dozens of tabs, scrolling endless feeds, & rewriting your CV for every application. It’s noisy, repetitive, & easy to miss the best roles. The fix is simple: build a lightweight automation stack that brings relevant roles to you, then use ChatGPT to triage, shortlist, & tailor applications in minutes. This guide shows you exactly how to do it. You’ll get copy-paste prompts, shareable Boolean strings, & practical workflows using Google Alerts, RSS, job boards, & ChatGPT. Set this up once & you’ll save hours every week—without losing quality or control.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.