Future Tech Jobs Future Tech Jobs

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
5
Hiring companies
1
View 5 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 5 listings posted in the last 12 months that mention each skill, extracted from job descriptions.

Python
100%
Machine Learning
100%
Deep Learning
100%
Statistics
100%
Feature Engineering
100%
Model Risk Management
100%
Open Banking
100%
Credit Bureau Data
100%
Multi-modal Data
100%
Data Manipulation
100%
Technical Documentation
20%
Validation
20%
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

5 live roles

Data Scientist / Statistician (Model Developer)

This role involves developing and maintaining machine learning models to solve business problems and generate insights from complex data. You will work with Open Banking and Credit Bureau data, focusing on feature engineering and model risk management, while collaborating cross-functionally to drive growth.

Capital One Nottingham, Nottinghamshire, United Kingdom
Hybrid Permanent

Data Scientist / Statistician (Model Developer)

This role involves developing and maintaining machine learning models to solve business problems and generate insights from complex data. You will work with Open Banking and Credit Bureau data, focusing on feature engineering and model risk management, while collaborating cross-functionally to drive sustainable growth.

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

Data Scientist / Statistician (Model Developer)

This role involves developing and maintaining machine learning models to solve business problems and generate insights from complex data. You will work with Open Banking and Credit Bureau data, focusing on feature engineering and model risk management, while collaborating closely with business partners to drive innovation and growth.

Capital One Spondon, Derbyshire, United Kingdom
Hybrid Permanent

Data Scientist / Statistician (Model Developer)

This role involves developing and maintaining machine learning models to solve business problems and generate insights from complex data. You will work with Open Banking and Credit Bureau data, perform feature engineering, and collaborate cross-functionally to drive innovation and growth.

Capital One Mansfield, Nottinghamshire, United Kingdom
Hybrid Permanent

Data Scientist / Statistician (Model Developer)

This role involves developing and maintaining machine learning models to solve business problems and generate insights from complex data. You will work with Open Banking and Credit Bureau data, focusing on feature engineering and model risk management, while collaborating closely with business partners to drive innovation and growth.

Capital One Leicester, Leicestershire, United Kingdom
Hybrid Permanent
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.

Hiring statisticians?

Post your role in 90 seconds and reach the specialist audience that already reads this page.

Post a job → See pricing

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.