National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Quantitative Research Director - Insight Consultancy

Aspire
Greater London
1 week ago
Create job alert

Key Duties Include

:-Creating bespoke insight programmes that will meet the client requirementsWriting and finalising proposals and pitching for new businessEstablishing strong working relationships with your clients to encourage repeat business and ensuring the smooth running of projectsAdding value to reports and presentations, including identifying those strategic insights that will really allow the client to take actionOverseeing the team on a day-to-day basis, as well and managing and mentoring them to help with their growth and development

The Candidate:-

The ideal candidate will be well versed in a wide variety of quantitative research methodologies and will have worked within a research agency or consultancy environment. You will have experience across the whole project lifecycle, with the ability to lead and oversee delivery of successful and high quality projects. An excellent communicator, who has a creative approach to research solutions and is confident in leading pitches, writing business winning proposals and presenting to senior level clients. Strategic thinker - able to think outside the box and provide actionable insights that will help clients to shape their strategies. Experience working across a range of sectors, ideally including FMCG, media, tech, entertainment and financial services. Proven track record in managing and leading teams You will be a positive self-starter, who has a real passion for what they do and is looking to embrace a new challenge where you can thrive!

We Are Aspire Ltd are a Commited employer

Related Jobs

View all jobs

Quantitative Research Director - Insight Consultancy

Research Director (Quantitative)

Quantitative Research - Rates - Vice President

Quantitative Research - Athena Analytics Developer - Executive Director

Research Director (Quantitative)

Research Director (Quantitative)

National AI Awards 2025

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.