Data Scientist to Actuary

Summary: None of the 6 core skills listed for Actuary match Data Scientist word for word, but 2 build on related experience. The US median salary changes by -18% ($140K → $115K). Difficulty: Major Pivot, typically around 12 months of focused upskilling.

The two roles

Data Scientist: Extract insights from data using statistical analysis and machine learning.

Actuary: Use mathematics and statistics to assess risk for insurance and pension plans. Growth outlook +18%; AI-augmented (AI changes how the work is done, not whether it exists). Typical education: bachelor. Typical experience: 2-5 years + exams.

Skills that carry over

None of the listed skills match word for word, but the related experience below transfers.

Builds on related experience

• Statistical Modeling — builds on Statistics
• Programming — builds on Python

Skills to learn for Actuary

• Actuarial Science
• Probability Theory
• Excel
• Risk Assessment

Salary comparison (median, estimated)

Salary figures are estimates benchmarked against public compensation data — see methodology.

Next steps

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Related

Data Scientist career guide | Actuary career guide

Other transitions to consider

• Data Scientist to Data Analyst — 5 of the core skills carry over
• Data Scientist to Data Engineer — 5 of the core skills carry over
• Data Scientist to ML/AI Engineer — 5 of the core skills carry over
• Data Scientist to Quantitative Analyst (Quant) — 5 of the core skills carry over
• Credit Analyst to Actuary — 4 of the core skills carry over
• Demand Planner to Actuary — 2 of the core skills carry over
• Risk Analyst to Actuary — 4 of the core skills carry over
• Insurance Underwriter to Actuary — 2 of the core skills carry over