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Statistician

Statisticians make sense of numbers and data. They design surveys, do calculations, find patterns, and explain what the data means - helping hospitals, companies, sports teams and government make good decisions based on real evidence.

Statistician

38

Mathematical Sciences

AI IMPACT
AI CAN DO38%moving to83%
THE DOOR, NOWB
THE DOOR, 20 YRSD
STARTING PAY£28,000 - £34,000
NO MOATNo physical, legal or personal barrier protects this work from software.
AI helps here, but has not taken over
AI can already do some of this job, but the day-to-day work still leans on a person to decide, check and take responsibility. Nothing formally protects this job though, so the safest move is to keep building the judgement AI cannot yet copy.

The role

As a Statistician, you turn piles of numbers into clear answers that help people make good decisions. The NHS needs to know how many hospital beds to plan for. Companies need to know which adverts actually work. Sports teams want to know what makes a winning player. You are the person who takes data and works out what it really means.

Most days you will plan ways to collect data - through surveys, experiments or by looking at data that already exists - then use maths and computer tools to study it. You look for patterns and work out how sure you can be that those patterns are real, not just luck. Then you explain what you found in a way that non-mathematicians can understand. Good statistics helps people trust their decisions because they are based on real evidence, not guesswork.

Daily responsibilities

  • Design and implement experiments or surveys to collect data relevant to research questions.
  • Analyze and interpret complex datasets using statistical software and methodologies.
  • Develop predictive models and simulations to forecast future trends and outcomes.
  • Communicate findings through compelling reports, visualizations, and presentations to stakeholders.
  • Collaborate with cross-functional teams to integrate statistical insights into strategic planning.
  • Ensure data integrity and accuracy through rigorous validation and quality control processes.
  • Stay updated on the latest statistical techniques and software advancements to enhance analytical capabilities.

Does a degree help here?

A UK degree in Mathematical Sciences not only provides a solid foundation in statistical theory but also equips graduates with practical skills highly valued by employers. UK universities are renowned for their rigorous academic standards and industry connections, giving graduates a competitive edge in the job market.

Careermash

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AI EXPOSURE = the share of a job's day-to-day tasks AI can already do today, from the same exposure engine used across this site (Anthropic labour market research, 2026, observed real-world AI usage by occupation). Higher means more exposed. It is a measurement of now, not a prediction. THE DOOR = how hard the job is to get into, grade A (easy) to E (extremely hard), from each career's published forecast (OpenAI, "The AI Jobs Transition Framework", Richmond 2026, CC BY 4.0). A card marked MOAT NOT YET CLASSIFIED has a real exposure score but no entry yet in our moat register, so we make no claim about what structurally protects it. Scorecard grades and verdicts are Careermash editorial judgment: we show forecasts as forecasts and own our conclusions. Salary and pathway figures are each career's own published profile. Careermash is a service provided by What School Ltd.

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