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

Apply Now

Head of Quantitative Research

Harnham
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Head of Quantitative Research (PM/Fieldwork)

Asset & Wealth Management - Equities Quantitative Investment Analyst - Associate/ Vice President

Asset & Wealth Management - Equities Quantitative Investment Analyst - Associate/ Vice President

ESG Data Scientist

Founding Data Scientist

ESG Data Scientist: Climate Risk & Investment Analytics

Head of Quantitative Research – Healthcare Insights (Fieldwork/PM focus)

London (Hybrid)

Up to £110,000


The Company:

This is a fantastic opportunity to join a leading healthcare research and insights agency at a pivotal stage of growth. With a global footprint and a strong UK client base, the business is focused on standardising delivery, improving client experience, and driving operational excellence across its quantitative research division.


The Role:

As Head of Quantitative Research, you’ll take ownership of project delivery and client satisfaction across the UK business. You’ll lead a team of talented project managers and client service professionals, ensuring high-quality execution, strong financial performance, and exceptional client outcomes.

You’ll be responsible for:

  • Leading, mentoring, and developing a team of quantitative project managers
  • Building trusted relationships with key healthcare clients and overseeing client service improvement plans
  • Embedding best-in-class standards across every stage of the project lifecycle
  • Partnering with internal teams (Engineering, HR, Compliance) to enhance systems, processes, and people development
  • Driving efficiency, profitability, and client satisfaction KPIs across multiple markets
  • Supporting integration of new acquisitions and ensuring a seamless client experience
  • Leading from the front — ensuring projects run smoothly, challenges are resolved proactively, and the team delivers consistent excellence


Your Skills & Experience:

You’ll bring a mix of hands-on research expertise and proven team leadership, including:

  • 8+ years’ experience in quantitative research or market research operations (healthcare sector preferred)
  • 3+ years managing a team (both junior and senior staff)
  • A deep understanding of quantitative project delivery across UK and international markets
  • Experience managing operations, project management and fieldwork teams
  • Proven ability to drive client satisfaction, profitability, and delivery standards
  • Strong commercial and people management skills
  • Excellent communication, problem-solving, and organisational ability
  • Experience managing large research portfolios (£10m+)


Why Join?

You’ll be stepping into a senior leadership position with genuine influence over the direction of the UK business. This role offers the chance to shape how the company delivers value to clients, develop the next generation of researchers, and lead strategic initiatives in one of the most impactful sectors — healthcare.

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.

Jobs

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.