Automation index
How much of a Crime scene technician’s job can AI already do?
A trace protocol comes earlier. Not contaminating the scene so it holds up in court do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Crime scene technician
23%
AI can already do 23% of this job.
#315 / 623
View rankingCrime scene technician
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Inspection, photos and the scene sketch.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Collect traces, prints and the DNA that gets walked on.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Chain of custody, labels and the lab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Report, reconstruction and the file.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The dirty scene, the rush and the one who enters ungloved.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That it holds in court, and not breaking the chain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- collect traces
- fingerprints
- chain of custody
- photograph scenes
- forensic DNA
- scene sketch
- police lab
- not contaminate
Sources for this job· O*NET 19-4092.00· ESCO/ISCO 3119
IS WORK OVER?
Data engineer
31%
#36 / 623
View rankingData engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511