Actuaries
economists and statisticians
Actuaries, economists and statisticians apply theoretical principles and practical techniques to assess risk and formulate probabilistic outcomes in order to inform economic and business policy, and to analyse and interpret data used to assist in the formulation of financial, business and economic policies in order to maximise growth or improve business performance.
- Employees (UK)
- 43k
- Median annual pay
- £51,520
- Exposure score ?
- 3.8/10 Low 10.0/10 Very high strict reading, with tools is 10.0/10 with-tools reading, strict is 3.8/10
- Wage exposure
- £842m £2.22bn
Higher exposure than 92% of the 379 UK occupations we scored.
What this score means.
A few tasks in this role are within reach of AI, mostly paperwork, scheduling and routine writing. The shape of the role stays the same, and some parts get faster.
If you are in this role
Pick the two or three most repetitive things in your week and try a model on them. Most people underestimate what Claude or ChatGPT already does with admin-shaped work. The time you get back is the gain.
Almost every routine task in this role is within reach of today's models. Roles like this are being rebuilt, usually not by disappearing but by one person using AI to produce what several did.
If you are in this role
Be the person doing the rebuilding. People who learn to run this kind of work with AI become very valuable, and the ones who wait tend to have the change made for them.
Where the work usually starts.
These are the most important tasks a language model can already handle directly. In a typical engagement the first wins come from building workflows around them, so they stop eating the team's time.
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Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
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Calculate sample size requirements for clinical studies.
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Write program code to analyze data with statistical analysis software.
These are the most important tasks AI can already handle when paired with the right tools and context. The first wins usually come from building workflows around them. That is the difference between a model that could do the job and one that actually does it inside your business.
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Draw conclusions or make predictions, based on data summaries or statistical analyses.
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Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
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Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
Every role has three or four places like these. Finding them takes an hour. Turning them into a workflow your team actually uses takes a few days.
Every task in the role.
Every O*NET task for this occupation, split by what AI can do unaided and what still needs a person. Importance is O*NET's 1 to 5 rating of how central each task is.
Tasks via O*NET "Biostatisticians" (15-2041.01).
What AI can already do
8 of 25 tasks, unaided
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
Calculate sample size requirements for clinical studies.
Write program code to analyze data with statistical analysis software.
Develop or implement data analysis algorithms.
Prepare articles for publication or presentation at professional conferences.
Write research proposals or grant applications for submission to external bodies.
Design or maintain databases of biological data.
Assign work to biostatistical assistants or programmers.
What still needs a person
17 of 25 tasks
Draw conclusions or make predictions, based on data summaries or statistical analyses.
Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.
Design research studies in collaboration with physicians, life scientists, or other professionals.
Prepare tables and graphs to present clinical data or results.
Provide biostatistical consultation to clients or colleagues.
Review clinical or other medical research protocols and recommend appropriate statistical analyses.
Determine project plans, timelines, or technical objectives for statistical aspects of biological research studies.
Prepare statistical data for inclusion in reports to data monitoring committees, federal regulatory agencies, managers, or clients.
Plan or direct research studies related to life sciences.
Monitor clinical trials or experiments to ensure adherence to established procedures or to verify the quality of data collected.
Collect data through surveys or experimentation.
Apply research or simulation results to extend biological theory or recommend new research projects.
Develop or use mathematical models to track changes in biological phenomena, such as the spread of infectious diseases.
Analyze archival data, such as birth, death, and disease records.
Design surveys to assess health issues.
Teach graduate or continuing education courses or seminars in biostatistics.
Tasks via O*NET "Biostatisticians" (15-2041.01).
What AI can already do
25 of 25 tasks, with tools
Draw conclusions or make predictions, based on data summaries or statistical analyses.
Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
Calculate sample size requirements for clinical studies.
Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.
Design research studies in collaboration with physicians, life scientists, or other professionals.
Prepare tables and graphs to present clinical data or results.
Write program code to analyze data with statistical analysis software.
Provide biostatistical consultation to clients or colleagues.
Review clinical or other medical research protocols and recommend appropriate statistical analyses.
Develop or implement data analysis algorithms.
Determine project plans, timelines, or technical objectives for statistical aspects of biological research studies.
Prepare statistical data for inclusion in reports to data monitoring committees, federal regulatory agencies, managers, or clients.
Plan or direct research studies related to life sciences.
Prepare articles for publication or presentation at professional conferences.
Monitor clinical trials or experiments to ensure adherence to established procedures or to verify the quality of data collected.
Write research proposals or grant applications for submission to external bodies.
Design or maintain databases of biological data.
Collect data through surveys or experimentation.
Apply research or simulation results to extend biological theory or recommend new research projects.
Develop or use mathematical models to track changes in biological phenomena, such as the spread of infectious diseases.
Assign work to biostatistical assistants or programmers.
Analyze archival data, such as birth, death, and disease records.
Design surveys to assess health issues.
Teach graduate or continuing education courses or seminars in biostatistics.
What still needs a person
0 of 25 tasks
When AI is paired with workflow tools, every task in this role is reachable. That doesn't mean the role disappears, it means almost all the routine surface area can be compressed.
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Related occupations.
Other roles in Professional occupations, and roles close by exposure.
What it means for your sector.
This role's score comes from Eloundou et al's 2023 task labels, weighted by O*NET importance within each O*NET-SOC code, then bridged to UK SOC 2020 through ISCO-08 (the ONS coding index) and US SOC 2010 (the BLS crosswalk). Employment and median pay come from ONS ASHE Table 14.7a, 2025 provisional, which covers employees only.
Back to the mapMethodologySources (PDF)Built 29 April 2026
Pictures
- "Census pantograph and 1930s keypunches" by U.S. Census Bureau employees, public domain, via Wikimedia Commons
- "Shepard Barclay, St. Louis lawyer, in his office" by Missouri Historical Society via DPLA, no known copyright restrictions, via Wikimedia Commons
- "Accountant's Office LCCN2016824374" by National Photo Company Collection, public domain, via Wikimedia Commons
- "Employment service in Oulu in the spring 1931" by Finnish Heritage Agency (Museovirasto), CC BY 4.0, via Wikimedia Commons