What is the AI risk score for Data scientist?

Data scientist has an AI displacement risk of 53%, rated Very High. AI task overlap: 92%. Human advantage: 20%. Singapore demand buffer: 78%.

Structural pressure

53%

Very High Risk

Likely range

47–60%

Data scientist

Professionals · SGD 9,047/mo (101% above median)

Data scientist shows mixed AI signals: high exposure, but also strong human dependencies and organizational friction.

Compare

Mixed Medium Confidence In demand (SOL 2026)

Graduate Degree Higher risk than 93% of occupations

Pressure 53%

Market 78%

Confidence 82%

Human Moat Low

Evidence

3/4 sources Sources agree: high Contested

Why This Score

AI Capability Overlap Increases risk

92% of tasks overlap with current AI

Human Coordination Reduces risk

20% human advantage from judgment & presence

Local Hiring Demand Reduces risk

78% demand buffer from SG labour market

Observed AI Adoption Reduces risk

AI usage 12pp below theoretical exposure

Official Demand Signals Reduces risk

Listed on SOL — active government demand recognition

These factors combine multiplicatively — larger bars do not mean proportionally larger contributions to the final score.

Net Displacement Risk 53%

Exposure × (1 − Bottleneck) × Market Modifier. Band stability: watch. How this works

Tasks AI can handle

Running standard statistical analyses, generating charts, cleaning data, writing SQL queries, and producing summary reports from structured data.

Where humans stay essential

Framing the right question, identifying data quality issues, interpreting results in business context, communicating insights to non-technical stakeholders, and making judgment calls on methodology.

Skills to focus on

Problem FramingStatistical ReasoningStorytelling with DataDomain Contextualization

Common tools in similar work

Adobe AcrobatAJAXAlteryx softwareAmazon DynamoDB

Derived from matched O*NET technology-skill profiles.

Singapore Reality

Current Singapore signal

Labour now, industry footprint, and a directional 12-month read.

Weak market

The Professionals, Managers, Executives & Technicians labour market is weak. Vacancy rate is 3.1% and was essentially flat versus last quarter. recruitment is running above resignation (1.5% vs 0.9%). live job ads are limited, with 3 visible postings in the last 30 days. employer pressure is low.

Vacancy rate

3.1%

↓ 3.1% year-on-year

Hiring balance

1.5%

recruit vs 0.9% resign

Retrenchment

1.5 per 1,000

Low incidence

Professionals, Managers, Executives & Technicians data · Q4 2025 full

Top Industries

Where this work is concentrated

Public Administration & Education Services

111.0K

18%

Financial & Insurance Services

97.0K

↓ cooling

16%

Professional Services

80.1K

→ stable

Top 4 vacancy sector

13%

Industry vacancy overlays use the latest published detailed cross-tab (2025 QQ), which can lag the main labour monitor.

12-Month Outlook

Rule-based, not a prediction

Stable

Displacement Under Pressure

Augmentation At Risk

Demand Resilient

Wage Pressure Watch

Methodology

What To Do Next

Offset potential: Medium Separate from the core score. This estimates how much demand, redesign room, and transition support could cushion pressure.

Data scientist has some offset potential, but it depends on transition pathways holding up in practice and on workers clearing the main switching frictions.

Demand support: Medium Transition support: Medium Reallocation room: Medium Switching friction: High

CareersFinder ↗Jobs Transformation Maps ↗Skills Framework ↗

Easier Switch

Marine superintendent 83%Clinical research professional 80%Chief engineer/Second engineer (ship) 79%

Lower Risk

Commercial airline pilot 78%Marine superintendent 83%Marine superintendent (engineer) 78%

Better Pay

Marine superintendent 83%Commercial airline pilot 78%Energy engineer 78%

Strong Demand

Marine superintendent 83%Clinical research professional 80%Energy engineer 78%