Actuary to Data Scientist

Summary: None of the 6 core skills listed for Data Scientist match Actuary word for word, but 4 build on related experience. The US median salary changes by +22% ($115K → $140K). Difficulty: Challenging, typically around 9 months of focused upskilling.

The two roles

Actuary: Use mathematics and statistics to assess risk for insurance and pension plans.

Data Scientist: Extract insights from data using statistical analysis and machine learning. Growth outlook +35%; AI-resistant. Typical education: master. Typical experience: 2-4 years typical entry.

Skills that carry over

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

Builds on related experience

• Python — builds on Programming
• Statistics — builds on Statistical Modeling
• SQL — builds on Statistical Modeling
• Data Visualization — builds on Statistical Modeling

Skills to learn for Data Scientist

• Machine Learning
• Communication

Salary comparison (median, estimated)

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

Next steps

Get a personalized analysis of your own skills against Data Scientist — free, no signup needed.

Related

Actuary career guide | Data Scientist career guide

Other transitions to consider

• Actuary to Credit Analyst — 4 of the core skills carry over
• Actuary to Demand Planner — 3 of the core skills carry over
• Actuary to Risk Analyst — 6 of the core skills carry over
• Actuary to Insurance Underwriter — 2 of the core skills carry over
• Data Analyst to Data Scientist — 5 of the core skills carry over
• Data Engineer to Data Scientist — 4 of the core skills carry over
• ML/AI Engineer to Data Scientist — 2 of the core skills carry over
• Business Analyst to Data Scientist — 4 of the core skills carry over