UK AI Job-Risk Index · SOC 2010 2119

Ranks #101 of 293 for AI exposure (1 = most exposed)

How exposed to AI are natural and social science professionals n.e.c.?

70/100

AI exposure score (percentile across all 365 occupations DfE scored)

High

#101

of 293 UK occupations (1 = most exposed)

£37,215

median full-time pay (ONS ASHE 2020) · 51,000 employee jobs

Natural and social science professionals n.e.c. sits in the high exposure band: its abilities overlap with current AI applications more than about 70% of the 365 UK occupations the Department for Education scored. High exposure usually means AI can help with many of the tasks involved, such as drafting, analysis or information handling. That can change how the job is done, but it is not a forecast that the job will disappear.

Underlying scores: AIOE (all AI) 0.86, LLM exposure 0.68 (standardised; 0 is the average occupation). Skill level: Level 4. Pay and job counts are 2020 figures, so use them to compare occupations rather than as current salaries.

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Job titles in this occupation

Titles the ONS SOC 2010 coding index places in unit group 2119. If your job title is here, this page uses the right figures for you.

scientist · biomechanist · sports scientist · consumer scientist · research scientist · scientific adviser · scientific officer · laboratory scientist · university researcher · postdoctoral researcher · sports and exercise scientist

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Lower-risk related jobs

Occupations in the same SOC 2010 sub-major group with a lower AI exposure score, highest-paid first. Pay difference is against £37,215 (ONS ASHE 2020 median, full-time). Switching usually needs retraining; this is a starting point, not advice.

OccupationExposureMedian payDifference
Electrical engineers68/100£52,064+£14,849
Biological scientists and biochemists67/100£37,390+£175
Conservation professionals59/100£31,779−£5,436

Compare these side by side →

Occupations with similar exposure

← #100 Secondary education teaching professionals · #102 Bank and post office clerks →

FAQ: Natural and social science professionals n.e.c. and AI

Will AI replace natural and social science professionals n.e.c.?

The index does not predict job losses. Natural and social science professionals n.e.c. has an AI exposure score of 70/100 (high band), ranking #101 of 293 UK occupations, where 1 is the most exposed. High exposure means AI can help with many of the tasks involved, which usually changes how the job is done.

How does this compare with similar jobs?

Natural and social science professionals n.e.c. is one of 20 occupations in its SOC 2010 sub-major group in the index; 16 of the others are more exposed to AI.

How much do natural and social science professionals n.e.c. earn?

Median gross annual pay for full-time employees was £37,215 in ONS ASHE 2020 (Table 14), across about 51,000 employee jobs. These are 2020 figures, so use them to compare jobs rather than as current salaries.

Which related jobs are less exposed to AI?

In the same sub-major group, lower-exposure occupations include Electrical engineers (68/100, £52,064), Biological scientists and biochemists (67/100, £37,390), Conservation professionals (59/100, £31,779).

Where does this data come from?

AI exposure uses Department for Education (2023) AI Occupational Exposure (AIOE) scores; pay and job counts come from ONS ASHE 2020. Job titles come from the ONS SOC 2010 coding index.

Source: Department for Education (2023), The impact of AI on UK jobs and training (AIOE scores); ONS ASHE 2020 Table 14; job titles from the ONS SOC 2010 coding index (v7). Exposure is not a prediction of job loss. Methodology · Embed this data

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