Statistician Jobs

Experts in statistical theory and methods, applying them to solve real-world problems. Statisticians are the backbone of data-driven decision-making in research and industry.

Open roles
8
Salary range
£33k – £60k
Hiring companies
6

Statisticians play a crucial role in transforming raw data into meaningful insights. They design experiments, analyse data, and develop statistical models to help organisations make informed decisions. Whether working in academia, healthcare, finance, or tech, statisticians are in high demand for their ability to interpret complex data and communicate findings effectively. They often collaborate with cross-functional teams, including data scientists, researchers, and business leaders, to ensure that statistical methods are applied correctly and results are actionable.

What the role does

Inside the role of a Statistician

A typical week for a statistician is a mix of data analysis, model development, and collaboration with other teams.

  1. 01
    Design and optimise experiments to gather robust data.
  2. 02
    Analyse datasets using statistical software and methods.
  3. 03
    Develop and validate statistical models to predict outcomes.
  4. 04
    Collaborate with cross-functional teams to interpret results.
  5. 05
    Prepare reports and presentations to communicate findings.
  6. 06
    Stay updated with the latest statistical techniques and tools.
Salary on the board

£33k – £60k

Based on advertised midpoints across the 7 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
1% of listings advertise a salary — up from 0% the year before.
Skills & tools

What hiring managers ask for

% of 29 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Statistics
83%
Python
72%
Machine Learning
69%
Model Risk Management
62%
Data Manipulation
52%
Credit Bureau Data
45%
Open Banking
41%
Deep Learning
38%
Feature Engineering
38%
Multi-modal Data
34%
AI
28%
Probability
24%
Career ladder

From Junior to Principal

A typical UK progression for statisticians. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.

  1. Level 1

    Junior Statistician

    0–2 yrs

    Assist in data collection and basic analysis, working under the guidance of more experienced statisticians.

  2. Level 2

    Statistical Analyst

    2–5 yrs

    Take ownership of specific projects, design experiments, and develop statistical models with minimal supervision.

  3. Level 3

    Senior Statistician

    5–10 yrs

    Lead complex projects, mentor junior team members, and provide expert statistical advice to stakeholders.

  4. Level 4

    Principal Statistician

    10+ yrs

    Oversee multiple projects, drive strategic initiatives, and influence organisational decision-making through advanced statistical methods.

Pathway

How to become a Statistician

There's no single route, but most people follow some version of these steps.

  1. 1

    Academic Foundation

    Complete a degree in statistics, mathematics, or a related field, building a strong foundation in statistical theory and methods.

  2. 2

    Entry-Level Role

    Start as a Junior Statistician, gaining hands-on experience in data collection and basic analysis under supervision.

  3. 3

    Specialisation

    Develop expertise in a specific area, such as biostatistics, financial modelling, or machine learning, through advanced courses and projects.

  4. 4

    Advanced Roles

    Progress to roles like Statistical Analyst or Senior Statistician, taking on more responsibility and leading projects.

  5. 5

    Leadership

    Move into leadership positions, such as Principal Statistician, where you influence strategic decisions and mentor junior statisticians.

  6. 6

    Continuous Learning

    Stay current with the latest statistical techniques and tools through ongoing education and professional development.

Live jobs

8 live roles

Queen Mary University of London

Statistician

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  • London
  • Hybrid
  • £40,815 – £52,790 pa
  • Mid-level
  • Contract

Contributes to trial protocols, develops statistical analysis plans and conducts analyses across primary care, psychiatry, surgery and orthopaedics studies within a Pragmatic Clinical Trials Unit. Also expected to do a small amount of teaching, working in a collaborative research team at the Wolfson Institute of Population Health.

2 weeks ago

Intensive Care National Audit & Research Centre - ICNARC

Statistician

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  • London
  • Hybrid · 2 days in office
  • £43,000 – £48,000 pa
  • Mid-level
  • Permanent

Provides trial design and statistical analysis for an expanding Clinical Trials Unit portfolio, plus statistical support for four national clinical audits covering over 500 providers and 4 million electronic health records. Works within a multidisciplinary team of statisticians, data scientists and epidemiologists on clinical trials, health services research informing NHS policy, and methodological and data science work.

Last month

SPD Development Company Ltd

Statistician

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  • Bedford
  • Hybrid
  • Mid-level
  • Contract

Provides statistical expertise across R&D, Clinical, Product Support and Marketing, covering study design, analysis plans, algorithm evaluation and post-market surveillance. One of three Statisticians in the Statistical & Data Services Team, acting as statistical representative on assigned projects and communicating findings to non-technical audiences. 12-month maternity cover within a regulated diagnostics environment.

SAS · R · Python

Last month

Capital One

Data Scientist - Model Developer / Statistician

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  • Mansfield
  • Hybrid · 3 days in office
  • Permanent

Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, using advanced feature generation and large-scale data manipulation. Consults on complex statistical test design and works cross-functionally with business partners, with a strong emphasis on Model Risk Management, validation and monitoring. Python coding and Open Banking or Credit Bureau data experience are central.

Open Banking · Credit Bureau Data

Last week

Capital One

Data Scientist - Model Developer / Statistician

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  • Nottingham
  • Hybrid · 3 days in office
  • Permanent

Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, using advanced feature generation and large-scale data manipulation. Consults on statistical test design and works cross-functionally with business partners, with a strong emphasis on Model Risk Management, validation and monitoring.

Open Banking · Credit Bureau Data

2 months ago

UCL

IMSS Research Fellow in Statistical Science

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  • London
  • Hybrid
  • £43,981 – £54,019 pa
  • Mid-level
  • Contract

Conduct original independent research under a Principal Investigator in areas such as data science, machine learning, biomedical and environmental statistics, causal inference and applied probability. Produce conference presentations and top-journal publications, contribute to the department's research environment, and take on a limited teaching load (around 20% of a typical academic load).

2 weeks ago

UCL

(Senior) Research Fellow in Statistical Methods

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  • London
  • £40,603 – £67,776 pa
  • Senior · manages people
  • Contract

Develops tools for multivariate analysis of neuroimaging data (anatomical MRI, fMRI, M/EEG, OPMs), releases them to the community via SPM, and conducts a mathematical review of existing multivariate techniques. Based in the Neurovascular Modelling Group within UCL's Methods Group, the post requires Bayesian model development, Variational Bayes derivations and strong programming skills.

MATLAB · SPM · MRI +3

Visa sponsorship 6 days ago

University of Oxford

Postdoctoral Research Assistant in Statistical Machine Learning for Genomics

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  • Oxford
  • On-site
  • £39,424 – £47,779 pa
  • Entry level
  • Contract

Develop novel statistical and machine learning methods for large-scale genomic, phenotypic and health data, working with Professor Pier Palamara in the Palamara Group. Research spans genomic language models, multimodal and federated learning, and multi-trait/multi-ancestry methods applied to biobank-scale datasets for association testing, fine-mapping and polygenic prediction. The role also involves building reproducible research software, publishing, and guiding junior researchers.

3 weeks ago
Hiring locations

Where this role is hiring

The locations with the most live listings for this role today.

FAQs

Common questions

  • A degree in statistics, mathematics, or a related field is typically required. Advanced roles may require a master’s or doctoral degree.

  • Common tools include R, Python, SAS, and SPSS. Familiarity with these and other statistical software is essential.

  • Statisticians are hired in a variety of sectors, including healthcare, finance, tech, academia, and government.

  • Salaries vary based on experience, industry, and location. For more detailed salary information, refer to the salary section on this page.

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