💻IT & Technology
Data & AI Specialist
Analyzes data and trains algorithms
Works with large datasets: finds patterns in them and trains models that predict outcomes or automate decisions.
What they do
- ▹Collects and cleans raw data from databases and files before analysis
- ▹Builds and trains machine learning models, mostly in Python
- ▹Measures model accuracy and tunes parameters to improve it
- ▹Prepares charts and reports that explain results to non-technical colleagues
Skills you need
- ▹Statistics and linear algebra
- ▹Python and data libraries (pandas, scikit-learn)
- ▹Analytical thinking and hypothesis testing
- ▹Attention to data quality and cleanliness
- ▹Explaining complex results in simple terms
Focus on these subjects at school
MathematicsComputer sciencePhysics
Where they work
- ▹Fintech and banking, analyzing customer behavior
- ▹IT companies and outsourcing studios building ML projects for clients
- ▹Telecom operators analyzing subscriber data
- ▹Foreign product companies — remotely
Pros
- + One of the highest-paid specializations in IT
- + A constantly evolving field with new problems to solve
- + Many remote positions at international companies
Challenges
- − Requires a solid math background that not everyone enjoys
- − Models sometimes don't work as expected and need long debugging
Programs that lead to this profession
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