Skip to main content
CAREERMASH (EN)FROM ECONOMICS →

Actuaries, Economists and Statisticians

Actuaries, economists, and statisticians help organisations understand risk, predict what might happen next, and make smart decisions with money and resources. Their work affects everything from insurance premiums to government policies.

Actuaries, Economists and Statisticians

50

Economics

AI IMPACT
AI EXPOSURE TODAY50
20-YEAR SCENARIO
NOT A FORECAST
88%
THE DOOR · ENTRY DIFFICULTY TODAYC
STARTING PAY£30,000 - £36,000
MOAT NOT YET CLASSIFIEDA real score, but the moat is not yet classified. No claim either way.

THE DOOR: ENTRY DIFFICULTY TODAY, graded A (easy) to E (extremely hard). A Careermash rule-of-thumb index built from our AI exposure index and the job's moat class. It is not a forecast and not a count of job openings.

AI EXPOSURE TODAY is a Careermash index from 0 to 100 of how exposed this job's everyday tasks are to AI today. We estimate it by matching published research on how people use AI to this job, usually by keyword or subject area, and we lower it where the work is protected (for example by physical, personal or legal requirements). It is not a direct measurement of how much people in this job use AI.

AI exposure is high for this work
AI exposure today for this job is high on our index (50). We have not yet classified what, if anything, structurally protects it, so we make no claim either way about a moat. Learn the tools, and build the judgement that stays human.

The role

As an actuary, economist, or statistician, you use numbers and maths to solve real problems. Insurance companies need to know how likely it is that someone will make a claim. Governments want to understand how the economy is changing. Organisations of all kinds need to know what their data means.

Your day-to-day work depends on your specialism. Actuaries calculate insurance premiums and pension costs. Economists study trends like job growth and inflation. Statisticians design surveys and experiments, then analyse the results using software like R or Python. You will work in an office, often at a computer, and you will need to be very careful with detail because mistakes with numbers can cause real problems.

Daily responsibilities

  • Conduct complex statistical analyses to interpret data trends and patterns.
  • Develop financial models to assess risk and forecast economic outcomes.
  • Collaborate with cross-functional teams to provide data-driven recommendations.
  • Present findings and insights to stakeholders through reports and presentations.
  • Stay updated on industry trends and regulatory changes affecting financial markets.
  • Utilize software tools and programming languages to automate data processing.
  • Engage in continuous professional development to refine analytical and technical skills.

Does a degree help here?

A UK degree equips candidates with a robust understanding of local economic conditions, regulatory frameworks, and statistical methodologies that are directly applicable in the UK job market. Universities in the UK also provide access to industry connections and internships, enhancing employability and practical experience.