Research Manager - Quantitative (Sampling & Survey Methodology)

Ipsos in the UK; Greater London; Hybrid; GBP 55,000 - 75,000; Full time

Benefits offered by this job

25 days annual leave

Pension contribution

Income protection

Life assurance

Health & wellbeing benefits

Professional development opportunities

Job summary

Ipsos in the UK is recruiting a Quantitative Research Manager for our Probability Surveys Unit. You will design and manage large probability surveys, drawing on sampling, weighting and statistical expertise to deliver nationally representative results.

You will work with SPSS, R or Stata and explain complex methods to non-technical clients, mentoring junior staff and driving methodological innovation within a dynamic research team.

Qualifications

• Strong understanding of survey research methods and quantitative principles.
• Experience with sampling and weighting in social, public affairs, market, or academic research.
• Proficiency with SPSS, R, Stata or similar tools.
• Ability to work with large datasets and communicate statistical concepts clearly.
• Degree-level qualification in a quantitative field or equivalent experience.

Responsibilities

• Design and manage nationally representative probability surveys using Ipsos KnowledgePanel.
• Support weighting and methodological innovation for large-scale studies.
• Collate population data from official statistics to inform weighting.
• Write clear technical reports and present methods to clients.
• Lead junior staff development and contribute to methodological innovations.
• Develop automated / reproducible workflows and document survey standards.

Skills

Survey methodology

Sampling & weighting

Statistical software

Data analysis

Communication

Project management

Mentoring

Education

Degree in a quantitative discipline

Tools

SPSS

R

Stata

Job description

Do you have expertise in survey research methods and quantitative research principles?

Ipsos is recruiting a Quantitative Research Manager to work within our Probability Surveys Unit (PSU). The PSU designs and manages some of the largest and most technically complex government studies.

This is an exciting opportunity for a quantitative researcher skilled in survey methodology, sampling and weighting. We are seeking someone with Knowledge of sampling and/or weighting approaches used in social, public affairs, market or academic research and experience working with large datasets and using SPSS, R, Stata or similar statistical software.

What is in it for you?

You will get the opportunity to:

• Play a key role in designing and deliver high-quality random probability work through our online probability panel the KnowledgePanel as well as ad-hoc research.
• Contribute to the design, implementation and continuous improvement of survey methodologies
• Challenge existing processes and seek to develop innovative improvements.
• Get exposure to the entire breath of Ipsos policy research, from politics, to public services, employment and welfare, transport, climate change and energy, societal attitudes and many more.

The role

These are the types of things you can expect to be doing during your day to day, though, as Ipsos is a dynamic organisation, we would encourage you to shape the role as other opportunities arise:

• Working with the UK KnowledgePanel, Ipsos’s online random probability panel, to create sampling frames and draw random probability samples to maintain nationally representative samples.
• Supporting our Probability Surveys Unit to deliver large, complex probability surveys through sampling, weighting and methodological innovation.
• Collating and managing population data from official ONS statistics and other large scale probability surveys to support weighting methods.
• Writing clear and concise technical reports, documenting your activities, setting out objectives, challenges and solutions.
• Explaining complex methods clearly to clients and other non-technical colleagues.
• Work with junior staff to help develop their methodological and statistical skills.
• Lead and contribute to innovation work, keeping abreast of new relevant developments and aiming to continually improve processes and quality
• Contributing to the design of experimental approaches to deliver methodological innovations and efficiencies.
• You will use Ipsos’ in-house AI to support your work and help to develop AI agentic solutions.
• You will be supported by experienced staff who will provide support and guidance.

Essential skills

• Strong understanding of survey research methods and quantitative research principles.
• Knowledge of sampling and/or weighting approaches used in social, public affairs, market or academic research.
• Experience working with large datasets and using SPSS, R, Stata or similar statistical software.
• Strong statistical aptitude and confidence working with quantitative data.
• Strong organisational skills and ability to manage multiple priorities simultaneously, while maintaining accuracy and attention to detail.
• Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences.
• Degree-level qualification or above in a quantitative discipline such as Statistics, Social Research Methods, Mathematics, Economics, Psychology, Data Science or a related subject, or equivalent relevant experience.
• Experience designing or implementing survey samples for probability-based or random probability studies.
• Experience developing, applying or evaluating survey weights.
• Understanding of survey error, non-response bias, coverage error and weighting adjustment techniques.
• Experience working with online panels, longitudinal studies or official statistics.
• Experience of process automation, reproducible workflows, scripting or systems development.
• Experience developing technical documentation, methodological reports or survey standards.
• Experience contributing methodological expertise to proposals, bids or client presentations.
• Knowledge of multivariate statistical techniques and survey data analysis e.g. factor analysis, clustering, regressions, multilevel models

We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range health & wellbeing, financial benefits and professional development opportunities.

We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We appreciate you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application.

We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as a Level 2 Disability Confident Employer. We provide an inclusive and accessible recruitment process. Your application will be reviewed by someone from our Talent Team who will be in touch either way to let you know the outcome.