Research Manager - Sampling & Survey Methodology

Overview

As Quantitative Research Manager, you will lead the design and execution of large, probability-based surveys for government and public policy research. You will refine sampling, weighting, and methodological approaches, working with big data and standard software. You will collaborate with cross-functional teams to advance innovative survey methods and explain complex concepts to non-technical stakeholders. This role offers impact across diverse policy areas and opportunities to shape methodologies and AI-enabled solutions.

Pay / Benefits

• 25 days annual leave
• pension contribution
• income protection
• life assurance
• health & wellbeing benefits
• professional development opportunities

Responsibilities

• Design sampling frames for the KnowledgePanel and draw random probability samples to maintain nationally representative samples
• Support the Probability Surveys Unit with sampling, weighting and methodological innovation for large, complex surveys
• Collate population data from official statistics and large-scale surveys to support weighting methods
• Write clear technical reports detailing objectives, challenges and solutions
• Explain complex methods to clients and non-technical colleagues
• Mentor junior staff to develop methodological and statistical skills
• Lead and contribute to innovation work and process improvements
• Contribute to experimental designs to deliver methodological innovations and efficiencies
• Leverage Ipsos in-house AI to support methodological work and AI-driven solutions

Key requirements

• Strong understanding of survey research methods and quantitative principles
• Knowledge of sampling and weighting in social, public affairs, market or academic research
• Experience with large datasets and SPSS, R, Stata or similar software
• Strong statistical aptitude and comfort with quantitative data
• Excellent organizational skills and ability to manage multiple priorities with accuracy
• Excellent written and verbal communication, ability to explain technical concepts to non-technical audiences
• Degree-level qualification or above in a quantitative discipline or equivalent experience
• Desirable: experience designing probability-based survey samples, weighting methods, online panels, and methodological reporting

• communication skills
• attention to detail
• ability to manage multiple priorities
• SPSS
• R
• Stata

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