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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
6
Hiring companies
1
View 6 live roles → Get an alert

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.
Skills & tools

What hiring managers ask for

% of 13 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
100%
Statistics
92%
Machine Learning
85%
Deep Learning
85%
Feature Engineering
85%
Model Risk Management
85%
Open Banking
85%
Credit Bureau Data
77%
Multi-modal Data
77%
Data Manipulation
62%
Data Analysis
23%
R
15%
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

6 live roles

Data Scientist - Model Developer / Statistician

This role involves developing and maintaining statistical and machine learning models for customer lending decisions within Capital One’s underwriting programs. The Data Scientist will work closely with business partners to extract insights from complex data, using advanced feature engineering and statistical analysis. The position emphasizes model risk management, validation, and cross-functional collaboration in a hybrid working environment.

Capital One Loughborough, Leicestershire, LE11 2QG, United Kingdom

Data Scientist - Model Developer / Statistician

This role involves developing and maintaining statistical and machine learning models for customer lending decisions within Capital One’s underwriting programs. The Data Scientist will work closely with business partners to extract insights from complex data, using advanced feature engineering and statistical analysis. Based in Nottingham with a hybrid working model, the position emphasizes collaboration, innovation, and adherence to model risk management standards.

Capital One Boultham, Lincolnshire, LN6 7TG, United Kingdom

Data Scientist - Model Developer / Statistician

This role involves developing and maintaining statistical and machine learning models for customer lending decisions within Capital One’s underwriting programs. The Data Scientist will work closely with business partners to extract insights from complex data, using advanced feature engineering and statistical testing. Based in Nottingham with a hybrid working model, the position emphasizes model risk management, code quality, and cross-functional collaboration to drive sustainable growth.

Capital One Nottingham, Nottinghamshire, United Kingdom

Data Scientist - Model Developer / Statistician

This role involves developing and maintaining statistical and machine learning models for customer lending decisions within Capital One's underwriting programs. The Data Scientist will work with large datasets, including Open Banking and Credit Bureau data, applying advanced feature engineering and statistical techniques. Collaboration with business partners and cross-functional teams is key to delivering actionable insights and driving innovation in a hybrid working environment.

Capital One Mansfield, Nottinghamshire, United Kingdom

Data Scientist - Model Developer / Statistician

This role involves developing and maintaining statistical and machine learning models for customer lending decisions within Capital One’s underwriting programs. The Data Scientist will work on feature engineering, model validation, and statistical testing, using Open Banking or Credit Bureau data while adhering to Model Risk Management standards. Collaboration with business stakeholders and clear communication of insights are key responsibilities.

Capital One Spondon, Derbyshire, United Kingdom

Data Scientist - Model Developer / Statistician

This role involves developing and maintaining statistical and machine learning models for customer lending decisions within Capital One's underwriting programs. The Data Scientist will work on feature engineering, model validation, and statistical testing, using large datasets including Open Banking and Credit Bureau data. Collaboration with business partners and cross-functional teams is key to delivering data-driven insights and driving innovation in lending.

Capital One Leicester, Leicestershire, United Kingdom
Hiring locations

Where this role is hiring

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

Nottingham

Location
1 open

Leicester

Location
1 open
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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