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

Apply Now

Market Research Data Scientist – Public Sector

Spalding Goobey
London
5 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Senior Data Engineer

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

Market Research Data Scientist – Public Sector

Central London (hybrid)

Up to £50,000 + bonus


Are you a Data Scientist with experience of working with survey data, looking for a role in which you can support the wider business by using advanced analysis to answer client questions? In this role you will work on international audience segmentation, behavioural change modelling and impact evaluation projects.


This global research firm is looking for a new member of the team able to hit the ground running with statistical techniques and concepts including regression and classification modelling, cluster analysis and statistical testing. You will be confident in the use of R or Python as well as development of dashboards. You’ll be an integral team member, involved in research projects from the design stage through to client delivery.


You’ll use your skills to answer client questions, providing bespoke visualisation solutions, and you will support on the delivery of ad-hoc data-focused products and solutions.


Initially offered as a 12 month contract with a view to being made a permanent role at the end. Based in Central London 3 days per week with the rest at home if desired. Please get in touch for full details.

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.