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Senior Statistician

Posted April 09, 2026
Full Time £32,500 - £43,000 / year

Job Overview

Role: Senior Statistician
Location: London (Hybrid – 3 days office)
Salary: £32,500 - £43,000
Department: Social Surveys – Data Collection
Contract: Full Time

The Senior Statistician will lead the design and delivery of complex survey methodology, including sampling, weighting and advanced analysis. The role involves developing new statistical approaches, providing expert advice to researchers and clients, and contributing to high-quality research outputs and proposals with minimal supervision. 

Key Responsibilities

  • Design sampling and weighting schemes from scratch with minimal input from other statisticians.
  • Select survey samples using statistical software with minimal input from other statisticians; check/QA samples generated by other statisticians.
  • Generate survey weights for survey analysis with minimal input from other statisticians; check/QA weights generated by other statisticians.
  • Review, develop and implement new methodology related to survey design and analysis with minimal supervision.
  • Undertake complex data analysis using techniques such as logistic regression and Latent Class Analysis (LCA). Advise/teach researchers and customers on statistical and methodological issues with support from other statisticians.
  • Be part of the tendering process for research projects – both contributing to Research Proposals and being a member of the team for tendering interviews.
  • Write sections/chapters for research and technical reports with minimal input from other statisticians.

Skills Knowledge and Expertise

  • Demonstrable experience working in survey research; for example, in social/market research, government, other public/voluntary sector, or academia. This can include work towards successful completion of a postgraduate qualification with a strong research or research methods component.
  • Knowledge of survey statistics, with some practical experience of survey sampling and weighting.
  • Familiarity with SPSS, R, Stata or a similar statistical package (with experience of scripting/coding using the relevant command language).
  • Excellent Excel skills, with ability to manage large datasets, use advanced formulas, and produce accurate, well-formatted outputs.

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