Research Manager (Quantitative)

City of London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Senior Data Scientist

Senior RF Data Scientist / Research Engineer

Genomic Data Scientist in Rare Disease (we have office locations in Cambridge, Leeds & London)

Principal, AI Data Science

AI Platform Engineer (DevOps / MLOps Focus)

Are you a detail orientated Research Manager with a client-centric outlook on research solutions? Then you could be the perfect fit for this consultancy in this hybrid role!

JOB TITLE: Research Manager
SALARY: Up to £48k
LOCATION: London (Hybrid)

THE COMPANY

This a global insight agency that combines creative thinking with data science to help brands grow. The agency offers brand tracking, customer segmentation, and predictive modelling across a variety of sectors. They are known for their award-winning, curiosity-driven approach to connecting brands with people and culture.

They are currently looking to bring on an consultative and pro-active Research Manager, you will be consultative with your clients and ensure client deadlines and objectives are hit.

KEY DUTIES

Lead strategic insight projects using quantitative methods across varied accounts with top-tier brand clients.
Manage day-to-day client relationships, ensuring smooth execution and impactful, data-driven decision support.
Apply strong critical thinking, attention to detail, and organizational skills to meet client needs.SKILLS & EXPERIENCE

Minimum four years managing quantitative research; one to two years team or line management experience.
Proven ability to lead, prioritise, coach others, and deliver high-quality work on schedule.
Strong storytelling, critical thinking, and motivation to drive business growth; occasional travel required.Interested in this Research Manager role? Apply now and let's have a chat!

We Are Aspire Ltd are a Commited employer

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.