Careers

AI & DATA

Data Scientist

Find the patterns hiding in messy, real-world data.

AnalyticalTechnical

What you actually do

1

Explore data for patterns

Dig into datasets to find relationships others might miss.

2

Build predictive models

Use statistics and ML to forecast or classify outcomes.

3

Communicate findings

Translate complex analysis into a clear recommendation.

Skills you'll use

StatisticsPython/RMachine learning basicsData visualization

Tools

PythonJupyterSQL

You might love it if…

You enjoy rigorous, open-ended analysis and are comfortable with ambiguity.

Think twice if…

You prefer clear, well-defined tasks over open-ended exploration.

How to get there

1

Learn statistics and Python

The core toolkit behind almost all data science work.

2

Do real analysis projects

Work through public datasets and publish your findings.

CAREER PATH

Build my Path

Get a step-by-step plan — Understand, Build, Experience, Prepare.

4 stages · Self-paced

Roles differ by company, team and country. This page describes typical work to help you explore — it isn't a job guarantee, and your day-to-day may look different.