Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Market Research Data Scientist

Harnham
London
3 months ago
Applications closed

Related Jobs

View all jobs

Lead Research Data Scientist | Fraud Detection in Market Research

Lead Research Data Scientist | Fraud Detection in Market Research

Lead Research Data Scientist | Fraud Detection in Market Research

Lead Research Data Scientist | Fraud Detection in Market Research

Senior Data Analyst - NESO

Research Data Scientist

MARKET RESEARCH DATA SCIENTIST

UP TO £65,000

LONDON (HYBRID)


Are you a creative Data Scientist who thrives at the intersection of analytics, consultancy, and politics? This is a rare opportunity to join a nimble agency working on some of the most fascinating and impactful political and reputational challenges in the UK – from election models to government strategy and corporate reputation. This is a foundational hire, with clear runway to grow into a leadership position and shape the future of the data function.


THE ROLE:

As a Data Scientist in this high-impact team, you’ll:

  • Lead on statistical modelling across a range of quant-led market research and political insight projects.
  • Apply and evolve a robust modelling framework using R, supporting techniques from regression and segmentation through to SRP and bespoke election models.
  • Be the custodian of a bespoke R function library, evolving tools and processes that drive consistent, high-quality output across projects.
  • Work closely with client teams – from UK Government departments and political parties to hedge funds and corporates – to deliver clear, story-led insights.
  • Get hands-on with messy primary quant data (surveys, census data, polling), cleaning, shaping, and analysing to uncover powerful trends and stories.
  • Act as a methodological pioneer – pushing boundaries, thinking creatively, and finding smart ways to deliver insights beyond the standard playbook.
  • Support and train more junior analysts and consultants – with the opportunity to build and lead your own team in the near future.


YOUR SKILLS & EXPERIENCE

We're looking for:

  • Solid Data Science experience in R, especially in predictive modelling and regression/segmentation techniques.
  • Educated to Masters or PhD level
  • A flair for methodological creativity – someone who enjoys being playful and inventive in their approach to data.
  • Experience working with primary quant survey data (market research, polling, etc.) – familiarity with messy datasets is a must.
  • Strong consulting skills – you enjoy working directly with clients and translating analysis into real-world impact.
  • Background in market research, think tanks, policy research or analytics agencies.
  • An interest in politics, polling, corporate affairs or public reputation – you don’t need to be a subject matter expert, but curiosity is essential.
  • Experience mentoring or line managing more junior team members is a plus – or a clear desire to grow into that.

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.