At a Glance
- Tasks: Lead exciting research projects from start to finish, turning data into impactful insights.
- Company: Fast-growing research and tech scale-up at the forefront of data and behavioural science.
- Benefits: Up to £62,000 salary, private healthcare, 25 days' leave, and pension contributions.
- Other info: Enjoy hybrid working and be part of a dynamic, supportive team.
- Why this job: Make a real difference in political and social research while working with innovative AI tools.
- Qualifications: 4 years' experience in quantitative research, strong survey design, and data analysis skills.
The predicted salary is between 62000 - 62000 £ per year.
A fast-growing research and technology scale-up is looking for a Research Manager to join its expanding insights team. The business works at the intersection of data, technology, and behavioural science, delivering high-impact research for political, social, and commercial clients. This is a fully client-facing role where you will take ownership of projects end-to-end, acting as the main point of contact from initial brief through to final delivery. You'll be responsible for designing research, managing fieldwork, analysing data, and turning complex findings into clear, compelling insights.
Key responsibilities:
- End-to-end ownership of quantitative research projects
- Designing questionnaires and analysis specifications
- Managing fieldwork and overseeing data quality
- Producing insight-led reports and presentations
- Leading client communications and relationship management
- Supporting proposals and business development activity
- Contributing to process improvement and mentoring junior team members
Project work includes political polling, social research for NGOs and think tanks, and commercial insight studies across a wide range of sectors. There is also increasing use of AI-enabled tools and innovative methodologies in research delivery.
What we're looking for:
- ~4 years' experience in social or political quantitative research
- Strong experience in survey design, data analysis, and interpretation
- Experience with political polling highly desirable
- Confident client-facing and stakeholder management skills
- Strong organisational ability across multiple projects
- Experience producing data visualisations and insight outputs
- R or Python experience beneficial but not essential
- Interest in AI applications within research
The role offers full ownership of projects, exposure to high-profile clients, and the opportunity to work in a modern, tech-enabled research environment within a growing team. Benefits include private healthcare, 25 days' annual leave, and pension contribution. Hybrid working: 4 days per week in the London office.
Quant Research Manager: Political & Social Insights (Hybrid) in London employer: Harnham
Join a dynamic and innovative scale-up that thrives at the intersection of data, technology, and behavioural science. As a Quant Research Manager in London, you'll enjoy a collaborative work culture that prioritises employee growth, offering opportunities to lead impactful projects for high-profile clients while benefiting from a comprehensive package including private healthcare and generous annual leave. With a focus on modern methodologies and AI applications, this role promises a rewarding career path in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Research Manager: Political & Social Insights (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your quantitative research skills. Be ready to discuss your experience with survey design and data analysis, as these are key for the role.
✨Tip Number 3
Showcase your projects! Bring along examples of your previous work, especially those involving political polling or social research. This will help you stand out and demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Quant Research Manager: Political & Social Insights (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Quant Research Manager. Highlight your experience in quantitative research, especially in political and social insights, and don’t forget to showcase your client-facing skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about this role and how your background aligns with our needs. Be specific about your experience with survey design and data analysis.
Showcase Your Projects:When detailing your past projects, focus on those that demonstrate your end-to-end ownership and ability to produce insight-led reports. We love seeing how you've turned complex data into clear insights!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Harnham
✨Know Your Research Inside Out
Make sure you’re well-versed in the latest trends and methodologies in quantitative research, especially in political and social insights. Brush up on your knowledge of survey design and data analysis techniques, as these will likely come up during the interview.
✨Showcase Your Client Management Skills
Since this role is client-facing, be prepared to discuss your experience in managing client relationships. Think of specific examples where you’ve successfully communicated complex findings or handled challenging situations with clients.
✨Prepare for Technical Questions
Expect questions about your experience with data analysis tools like R or Python. Even if you’re not an expert, showing a willingness to learn and adapt to new technologies, especially AI applications in research, can set you apart.
✨Bring Your Project Examples
Have a few key projects ready to discuss that highlight your end-to-end ownership of research projects. Be ready to explain your role in designing questionnaires, managing fieldwork, and producing insightful reports that led to impactful outcomes.
