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Statistician

GlobalStat Intelligence Solutions LTD

London

Remote

GBP 36,000 - 42,000

Full time

3 days ago
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Job summary

Join a leading company at the forefront of data-informed education and careers policy as a Statistician. This full-time role involves leading research design and analysis to impel systemic improvements across the UK education ecosystem. Candidates should possess a PhD in Statistics and be proficient in data analysis using R or Python. Flexible working arrangements and strategic project management are integral to this position.

Benefits

Flexible working
Remote-friendly team culture

Qualifications

  • PhD in Statistics or related field required.
  • Strong experience with survival analysis and regression.
  • Proficiency in R, Python, or Stata for data analysis.

Responsibilities

  • Conduct systematic literature reviews and data analysis.
  • Translate findings into actionable recommendations.
  • Design mixed-method evaluation strategies.

Skills

Survival Analysis
Regression
Mixed-Methods Research
Data Analysis
Ability to Translate Findings

Education

PhD in Statistics, Political Statistics, Social Research

Tools

R
Python
Stata

Job description

Join to apply for the Statistician role at GlobalStat Intelligence Solutions LTD

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Join to apply for the Statistician role at GlobalStat Intelligence Solutions LTD

Reports To:Director of Research & Strategy

About the Role

Job Title: Statistician

JOB REF:STAT_1001

Location:Remote / UK-based preferred

Contract Type:Full-time (Fixed-term)

Salary:£36,000–£42,000 depending on experience

Reports To:Director of Research & Strategy

About the Role

We are looking for a highly skilled and intellectually curiousPrincipal Researcherwith a PhD in Statistics, or a closely related field to lead the design, analysis, and interpretation of research and evaluation projects that inform systemic improvements across the UK careers and education ecosystem.

This cross-functional role blends literature-based insight, impact evaluation, and advanced data analytics, requiring both technical depth and strategic thinking. You will lead the full project lifecycle — from framing research questions and designing methodologies to delivering high-quality insights to stakeholders.

Key Responsibilities
  • Conduct systematic literature reviews and horizon scans
  • Perform qualitative and quantitative landscape analysis
  • Translate findings into actionable, system-wide recommendations
  • Write policy-relevant reports for diverse stakeholder audiences
  • Develop theories of change and logic models for national programmes
  • Design and manage mixed-method evaluation strategies
  • Lead data collection, outcome tracking, and impact assessments
  • Synthesize findings into accessible outputs (e.g. dashboards, briefs, infographics)
  • Provide strategic input on hypothesis development and testing
  • Analyse large-scale and national administrative datasets
  • Apply multivariable regression, causal inference, and other advanced methods
  • Triangulate across datasets and deliver insights in clear, non-technical language
Essential Requirements
  • PhD in Statistics, Political Statistics, Social Research, or related field
  • Strong experience with survival analysis, regression, and mixed-methods research
  • Proficiency in R, Python, or Stata for data analysis
  • Ability to translate complex findings into strategic insight
  • Experience in careers, education, labour markets, or public sector research is a strong plus
Why Join Us
  • Work at the forefront of data-informed education and careers policy
  • Drive systems-level change through rigorous, impactful research
  • Collaborate with government bodies, think tanks, and nonprofits
  • Flexible working and remote-friendly team culture
How to Apply

Please submit your CV via our online application form.

Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to a virtual interview and task-based assessment.

Apply online here:https://hr.globalstatsol.com/st/stat_1001/

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Research, Analyst, and Information Technology
  • Industries
    Data Infrastructure and Analytics

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