Research Manager (Analytics/Data Science)

RESEARCH MANAGER (ANALYTICS/DATA SCIENCE)

Up to £60,000

LONDON – OFFICE-LED (4 DAYS A WEEK, FRIDAYS AT HOME)

Please note, you must be a UK resident with full right to work

ABOUT THE BUSINESS

This fast-growing B2B research technology startup is on a mission to close the “understanding gap” between what organisations believe about people and reality.

Using AI-driven methodologies, the business delivers deeper, faster, and more accurate insights at a fraction of the cost and time of traditional research approaches. The team brings together experienced researchers and cutting-edge engineers to fundamentally rethink how market and audience insights are generated.

With around 50 employees and operating at Series A–B stage, the company works with major brands and mission-driven organisations. A new AI-powered product launch marks the next phase of growth, creating an exciting opportunity to shape and scale its analytics capability.

THE TEAM

You’ll join a highly collaborative team of researchers, analysts, and engineers who work closely to push the boundaries of modern research and analytics.

The environment is intellectually curious, ambitious, and fast-moving, with a strong emphasis on methodological rigour, creativity in analysis, and real-world impact. Team members are trusted to own projects end to end and to continuously improve how research is delivered.

THE ROLE

This Research Manager role focuses predominantly on advanced analytics and plays a key part in evolving and scaling the company’s analytical capabilities.

You’ll lead complex quantitative workstreams across a wide range of projects and industries, pushing analytical thinking beyond standard reporting to uncover deeper insight. The role combines hands-on analysis with ownership of projects, processes, and best practice.

This is an opportunity to have real influence over how analytics is done, helping close the knowledge gap through innovative methods and high-quality thinking.

KEY RESPONSIBILITIES

Analytics Leadership

• Own analytics workstreams for major research projects
• Lead advanced analyses including segmentation, factor reduction, and multi-level / mixed-effects regression
• Set best-practice standards and processes for analytics, including segmentation frameworks
• Push methodological innovation and improve analytical quality across the team

Automation & Efficiency

• Automate common analytical tasks, particularly for trackers and long-running client programmes
• Improve scalability and consistency of analytics outputs

Research Delivery

• Independently run end-to-end research and insight projects
• Work primarily on quantitative research, with exposure to qualitative and mixed-methods studies
• Translate complex analysis into clear, compelling insight for clients and internal stakeholders

Commercial & Proposal Support

• Contribute to and own RFPs and research proposals
• Support the commercial team with methodological input and analytical thinking

SKILLS & EXPERIENCE REQUIRED

Essential

• 3+ years’ experience in analytics and/or research using survey data
• Hands-on experience running statistical analyses including:
• Factor reduction techniques
• Multi-level / mixed-effects regression (linear and logistic)
• Segmentation and cluster analysis
• Strong exploratory data analysis skills with a creative approach to pattern finding
• Deep experience working with survey data, including cleaning, merging, weighting, and wrangling
• Experience working with large or publicly available datasets (e.g. census or national statistics)
• Strong proficiency in R or Python for data analysis and visualisation

Nice to Have

• Experience using both frequentist and Bayesian approaches
• Understanding of the full market research project lifecycle

WHY APPLY?

• Join a fast-growing research technology startup at a pivotal growth stage
• Shape and scale advanced analytics capabilities with real influence
• Work at the intersection of AI, research, and insight
• Collaborate with a smart, ambitious team of researchers and engineers
• Enjoy a flexible, office-led working pattern with genuine autonomy