Research Manager (Education)

City of London
11 months ago
Applications closed

Related Jobs

View all jobs

Performance & Data Analyst

Data Scientist

Housing Needs Research and Data Analyst

Senior Data Scientist

HR Data Analyst

Data Analyst & Property Records Officer

Are you a Research Manager with a background within the social and public sectors? Then you could be the perfect fit for this market research agency in this flexible role!

JOB TITLE: Research Manager (Education)
SALARY: £37k - £45k DOE
LOCATION: London - 2 days a week in the office

THE COMPANY

A leading independent research agency, known for delivering robust, reliable, and unbiased insights that stand the test of scrutiny. With decades of experience, they are a trusted partner for numerous high-profile clients, including government departments, public bodies, and private organisations.

As a full-service agency, they provide a comprehensive range of research and evaluation services, from data collection and analysis to reporting, covering both quantitative and qualitative methodologies. The company is deeply committed to employee well-being and fosters a collaborative and engaging work environment, making it a great place for talented and passionate professionals.

They are looking for a Research Manager to join their team:

KEY DUTIES

Design effective questionnaires, conduct insightful interviews, and facilitate focus groups with confidence and expertise.
Generate in-depth, publishable reports and deliver impactful, client-focused presentations of research findings.
Oversee multiple projects efficiently, ensuring clear team communication, prioritization, and proactive client engagement.SKILLS & EXPERIENCE

Previous experience of project management, client management and delegating where appropriate
Previous experience in the social/public sector is essential
Prior experience ensuring accuracy in questionnaire scripts and data outputs.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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.