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Research Manager, Quantitative and Mixed Methods
Old Street, London (4 days in the office, Fridays WFH) | Salary up to £63,000
Old Street, London (4 days in the office, Fridays WFH) | Salary up to £63,000
This is a chance to join a fast-growing research and technology startup at a pivotal stage of its journey. You will work on high-impact, bespoke research projects while gaining hands-on exposure to cutting-edge AI-driven research tools that are reshaping how insight is generated and delivered.
The Company
They are a Series A to B B2B research and technology business of around 50 people, focused on closing the gap between what organisations think about people and what is actually true. By combining experienced researchers with engineers and data scientists, they deliver faster, deeper and more accurate insight than traditional agencies. Their work spans social, political and opinion research, partnering with mission-driven organisations, foundations and research-led clients. Alongside this, they are launching a new AI-powered qualitative research platform, including AI-moderated research capabilities.
They are a Series A to B B2B research and technology business of around 50 people, focused on closing the gap between what organisations think about people and what is actually true. By combining experienced researchers with engineers and data scientists, they deliver faster, deeper and more accurate insight than traditional agencies. Their work spans social, political and opinion research, partnering with mission-driven organisations, foundations and research-led clients. Alongside this, they are launching a new AI-powered qualitative research platform, including AI-moderated research capabilities.
The Role
You will take ownership of end-to-end delivery across a range of bespoke quantitative and mixed-methods projects, with support from senior team members where needed.
Key responsibilities include:
You will take ownership of end-to-end delivery across a range of bespoke quantitative and mixed-methods projects, with support from senior team members where needed.
Key responsibilities include:
- Leading the design, delivery and analysis of quantitative research projects, from questionnaire design through to insight generation.
- Acting as a key point of contact for clients, particularly on smaller engagements, and managing day-to-day communications.
- Producing high-quality client outputs including data tables, presentations, written reports and clear visualisations.
- Using research outputs to advise clients on strategy, messaging and campaigns.
- Working closely with analytics and data science colleagues on techniques such as segmentation, regression, factor analysis and PCA.
- Contributing to qualitative research, including analysis of interviews and AI-moderated qualitative outputs.
- Actively engaging with and helping to develop AI-enabled research workflows and tools.
Your Skills and Experience
- Strong commercial experience in quantitative or mixed-methods research, ideally within social, political or opinion research.
- Confidence owning research projects from start to finish, with an organised and proactive approach.
- Experience working directly with clients and communicating insights clearly and persuasively.
- Ability to interpret complex data and translate it into clear, actionable recommendations.
- Interest in AI tools, advanced analytics or emerging research technology, with a desire to keep learning and experimenting.
- Comfortable working in a fast-moving, bespoke research environment rather than tracker-heavy studies.
What They Offer
- Salary up to £63,000, depending on experience.
- Hybrid working with four days per week in their Old Street office and Fridays working from home.
- High autonomy, low hierarchy and exposure to genuinely innovative research technology.
- Clear progression, with this role seen as a stepping stone toward senior Research Manager responsibilities.
- A collaborative, curious culture that values ownership and learning.
How to Apply
If you are excited by insight-led research and want to build your career at the intersection of research and AI, apply now to find out more.
If you are excited by insight-led research and want to build your career at the intersection of research and AI, apply now to find out more.