Data & AI

Data Scientist

Builds statistical and machine learning models to uncover patterns in data and predict future outcomes.

Also known as: ML Scientist, Applied Scientist

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What you do

Turns business questions into testable hypotheses, explores and cleans large datasets, and builds predictive models that are validated with statistical rigor. Communicates findings and model limitations honestly to product and business teams, and often works alongside data engineers to move models toward production.

Typical work environment

Primarily desk-based work with data platforms and notebooks, embedded within a product or analytics team, with periodic presentations to leadership.

Typical entry point

Junior or associate data scientist role in a tech company, analytics team, or research group

Relevant subjects

Core

MathematicsComputer Science

Also relevant

Economics

Relevant interests

Core

AI / DataResearch

Also relevant

ProgrammingComputers

Useful skills

Python· AdvancedData analysis· AdvancedAnalytical thinking· AdvancedResearch· IntermediateCommunication· Intermediate

These are useful, relevant skills to build over time — not a checklist you need to already have.

Common education routes

Bachelor's degree—StatisticsPrimary route
Bachelor's degree—Computer SciencePrimary route
Master's degree—Data SciencePrimary route
Master's degree—Artificial Intelligence & Machine LearningCommon route

These are common routes in, not the only path — and not a university or course recommendation.

Career characteristics

Strong salary potentialDeep technical specialisationHigh job securityGood international mobilityRemote-work friendlyResearch-intensive

General tendencies for this career, not a guarantee — actual roles vary by employer and location.

Industries

SoftwareAIDataBankingResearch

Tags

TechnicalResearch-heavySTEMAnalytical

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