Customer Data Scientist

Harnham
London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist — Hybrid, ML Leader & Strategy

Customer Data Analyst

Customer Data Analyst

Lead Data Scientist - Pricing

Data Analyst - Drive Real Estate Insights

2 weeks ago Be among the first 25 applicants

Join one of the world’s leading independent media and entertainment groups—home to iconic brands across audio, publishing, and digital platforms.

As part of their growing Audio Division, they’re looking for Customer Data Scientists to harness audience data, enhance engagement, and support smarter, data-led decision-making.

Role/Responsibilities:

  • Develop and deploy predictive models focused on customer behaviour, loyalty, and segmentation
  • Analyse user journeys across digital and audio platforms to improve customer engagement
  • Support revenue optimisation by informing data-driven pricing strategies for ad inventory
  • Work on strategic growth areas such as competitions and audience targeting
  • Collaborate with cross-functional teams including product, marketing, and analytics
  • Communicate insights clearly to both technical and non-technical stakeholders to drive business impact

Your skills and experience:

  • Proficiency in SQL and Python
  • Solid experience in customer or product analytics
  • Hands-on expertise in A/B testing, experimentation, and uplift modelling
  • Strong analytical and problem-solving skills, with the ability to distil complex data into actionable insights
  • Background in media, gambling, or digital B2C environments is advantageous
  • Confident communicator with the ability to work across teams and explain technical findings with clarity

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionAnalyst
  • IndustriesBroadcast Media Production and Distribution

Referrals increase your chances of interviewing at Harnham by 2x

Sign in to set job alerts for “Data Scientist” roles.

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 4 weeks ago

Data Scientist, Internship, United Kingdom - BCG X

London, England, United Kingdom 3 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 10 minutes ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 4 weeks ago

Data Scientist - Scientific AI, Life Sciences

London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 minutes ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

Greater London, England, United Kingdom 4 months ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#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.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.