Data Scientist career guide
Data scientists develop predictive models and advanced analytics to solve complex business problems using large datasets.
Career guide reviewed by Certyz · October 2026
Entry routes vary by employer and role. Compare the options below before deciding what to research next.
What does a Data Scientist do?
Data scientists develop predictive models and advanced analytics to solve complex business problems using large datasets.
- Office
- Hybrid working
- Remote working
- Research teams
- Technology companies
- Financial services
- Healthcare organisations
- Government
- Research organisations
How to become a Data Scientist
Most data scientists complete advanced quantitative education before specialising in machine learning and statistical modelling.
Degree or Degree Apprenticeship in Data Science, Computer Science, Mathematics or Artificial Intelligence.
- University
- Degree apprenticeship
Skills and progression for Data Scientist
- Python
- Machine learning
- Statistics
- Data modelling
- Problem solving
- Senior Data Scientist
- Lead Data Scientist
- Machine Learning Engineer
- Head of Data Science
- Chief Data Officer
Check current entry requirements before deciding
This Certyz guide is a starting point. Qualifications, registration rules and apprenticeship availability can change. Confirm the latest requirements with employers, course providers, relevant professional bodies and official careers guidance.
What could the outlook mean for you?
Career opportunities can look different depending on where you live, your preferred route and the subjects and activities you enjoy. Your report brings those factors together rather than giving you a generic answer.
- Regional vacancy and salary intelligence
- Your personal career-match reasoning
- Opportunity strength and market direction
- Alternative careers worth considering