Mathematicians, actuaries and statisticians
Most tasks score high and the scores agree. Expect the role to be reorganised.
Exposure is not job loss: it shows how much of the work generative AI could do today. Whether that turns into transformation, productivity gains or cuts depends on employers, regulation — and on you.
0 = today’s generative AI cannot perform any of the job’s tasks, 100 = it could do all of them fully. The pale band is the spread across tasks.
Work out your own score ↓What can you do?
🤖 Written with AIThis text was written by artificial intelligence from the data points shown; it is built on verified figures but may contain mistakes.· 12/10/2026How is it made?
With an exposure score of 56/100, mathematicians, actuaries, and statisticians will see routine data processing and survey design automated, while strong industry growth reinforces demand for complex risk modeling, strategic advisory, and sound mathematical judgment.
What changes
- Automated questionnaire design and survey workflow orchestration will streamline primary data collection.
- AI tools accelerate data processing, statistical interpretation, and initial drafting for analytical publications.
- Actuarial modeling routines and standard insurance product simulations become increasingly algorithm-assisted.
What stays human
- Supervising analytical teams, guiding technical staff, and managing cross-disciplinary projects remain deeply human.
- Exercising fiduciary accountability and legal sign-off for complex insurance and pension liabilities.
- Contextual judgment when advising business and medical leaders on the validity of findings.
What to learn
- Auditing automated statistical models and algorithmic pipelines for bias, drift, and regulatory compliance.
- Advanced prompt engineering and agentic workflows for computational mathematics and data analysis.
- Translating ambiguous domain problems into robust mathematical formulations alongside executive decision-makers.
Task by task
The ILO scored every task of the occupation separately, as the average of two AI models (GPT-4o and Gemini). The pale band is the range between the two models' scores, the dot the ILO's final score (for a few tasks expert review placed it outside the band).
- Planning and organizing surveys and other statistical collections, and designing questionnaires67
- Designing and putting into operation pension schemes and life, health, social and other types of insurance systems63
- Evaluating, processing, analysing, and interpreting statistical data and preparing them for publication63
- Advising on or applying various data collection methods and statistical methods and techniques, and determining reliability of findings, especially in such fields as business or medicine as well as in other areas of natural, social or life sciences58
- Applying mathematics, statistics, probability and risk theory to assess potential financial impacts of future events57
- Advising on or applying mathematical principles, models and techniques to a wide range of tasks in the fields of engineering, natural, social or life sciences56
- Conducting logical analyses of management problems, especially in terms of input-output effectiveness, and formulating mathematical models of each problem usually for programmeming and solution by computer55
- Studying, improving and developing mathematical, actuarial and statistical theories and techniques54
- Preparing scientific papers and reports53
- Supervising the work of mathematical, actuarial and statistical assistants and statistical clerks.35
How much does it affect you?
Every job is different: mark which of these tasks you do and how much, and we'll compute your own, time-weighted score.
For each task: I don't do it · sometimes · most of my job.
- Planning and organizing surveys and other statistical collections, and designing questionnaires(67)
- Designing and putting into operation pension schemes and life, health, social and other types of insurance systems(63)
- Evaluating, processing, analysing, and interpreting statistical data and preparing them for publication(63)
- Advising on or applying various data collection methods and statistical methods and techniques, and determining reliability of findings, especially in such fields as business or medicine as well as in other areas of natural, social or life sciences(58)
- Applying mathematics, statistics, probability and risk theory to assess potential financial impacts of future events(57)
- Advising on or applying mathematical principles, models and techniques to a wide range of tasks in the fields of engineering, natural, social or life sciences(56)
- Conducting logical analyses of management problems, especially in terms of input-output effectiveness, and formulating mathematical models of each problem usually for programmeming and solution by computer(55)
- Studying, improving and developing mathematical, actuarial and statistical theories and techniques(54)
- Preparing scientific papers and reports(53)
- Supervising the work of mathematical, actuarial and statistical assistants and statistical clerks.(35)
You are exactly at the occupation average. (The occupation's score: 56.)
About 90% of your working time goes to highly exposed tasks (score ≥ 50).
- • Planning and organizing surveys and other statistical collections, and designing questionnaires
- • Designing and putting into operation pension schemes and life, health, social and other types of insurance systems
- • Supervising the work of mathematical, actuarial and statistical assistants and statistical clerks.
- • Preparing scientific papers and reports
An estimate from the ILO task scores. Everything is computed in your browser — nothing is sent or stored.
How many people work in this occupational group?
Share of the Science and engineering professionals group in total employment, by country (Eurostat, ISCO 2-digit — 4-digit breakdowns are not public by country).
Table view
| Country | Science and engineering professionals |
|---|---|
| Finland | 6.3% · 163 thousand · 2025 |
| Luxembourg | 5.3% · 17 thousand · 2025 |
| Ireland | 4.8% · 135 thousand · 2025 |
| France | 4.7% · 1,380 thousand · 2025 |
| Germany | 4.5% · 1,920 thousand · 2025 |
| Slovenia | 4.5% · 45 thousand · 2025 |
| Lithuania | 4.4% · 65 thousand · 2025 |
| Netherlands | 4.3% · 428 thousand · 2025 |
| Switzerland | 4.3% · 208 thousand · 2025 |
| Sweden | 4.1% · 218 thousand · 2025 |
| Cyprus | 4.0% · 20 thousand · 2025 |
| Iceland | 3.9% · 9 thousand · 2025 |
| Portugal | 3.9% · 207 thousand · 2025 |
| Denmark | 3.9% · 121 thousand · 2025 |
| Greece | 3.9% · 169 thousand · 2025 |
| Belgium | 3.9% · 199 thousand · 2025 |
| Romania | 3.6% · 277 thousand · 2025 |
| United Kingdom | 3.5% · 1,203 thousand · 2025 |
| Hungary | 3.5% · 163 thousand · 2025 |
| Poland | 3.5% · 598 thousand · 2025 |
| Spain | 3.4% · 757 thousand · 2025 |
| Czechia | 3.4% · 176 thousand · 2025 |
| Croatia | 3.3% · 56 thousand · 2025 |
| Austria | 3.2% · 142 thousand · 2025 |
| Norway | 3.1% · 91 thousand · 2025 |
| Malta | 3.1% · 10 thousand · 2025 |
| Estonia | 3.0% · 21 thousand · 2025 |
| Slovakia | 3.0% · 78 thousand · 2025 |
| Latvia | 2.9% · 25 thousand · 2025 |
| Bulgaria | 2.8% · 81 thousand · 2025 |
| Italy | 2.7% · 659 thousand · 2025 |
What do they earn?
Mean gross monthly earnings in the major occupational group (Professionals). Eurostat's earnings survey only publishes pay by occupation at 1 digit, so this is the job's broader group. Enterprises with 10+ employees, 2022.
By country, at purchasing power parity (PPS/month), so countries with different price levels can be compared.
- Switzerland6,389
- Luxembourg5,274
- Ireland4,873
- Germany4,807
- Belgium4,799
- Denmark4,446
- Norway4,237
- Austria4,099
- Netherlands4,031
- Iceland3,875
- EU273,850
- France3,791
- Finland3,769
- Romania3,559
- Sweden3,416
- Spain3,413
- Slovenia3,326
- Italy3,305
- Cyprus3,271
- Lithuania3,221
- Croatia2,890
- Czechia2,871
- Malta2,825
- Poland2,783
- Hungary2,777
- Portugal2,755
- Latvia2,671
- Estonia2,599
- Bulgaria2,359
- Slovakia2,345
- Greece2,321
Source: Eurostat Structure of Earnings Survey (earn_ses22_21), every four years. The United Kingdom is not covered by the survey.
Outlook to 2035
Employment in the Science and engineering professionals group according to Cedefop's 2026 forecast.
thousand · Cedefop Skills Forecast 2026 · 2026–2035: projection
Replacement demand is the jobs left by people retiring or changing careers — even a shrinking occupation can have many openings.
According to the WEF
Data Analysts and Scientists — among the FASTEST-GROWING jobs (rank 11)
Future 2035 →Sources: ILO WP140 (2025) · Eurostat lfsa_egai2d · Cedefop Skills Forecast 2026 · WEF Future of Jobs 2025 · ESCO. The exposure score measures how much of an occupation's tasks generative AI could perform — not whether the job disappears. For information only, not career advice. How do we calculate this?