Data Scientist

Turn messy data into decisions and predictions.

Overview

Data scientists combine statistics, programming and domain knowledge to answer questions organisations can't answer by intuition alone. Modern practice blends classical ML with generative AI.

A typical day

Frame a business question as a data problem
Clean and explore datasets in Python or R
Train, evaluate and deploy models
Communicate findings to non-technical stakeholders

Skills that matter

Statistics & probability
Python (pandas, scikit-learn)
SQL
Storytelling with data
ML / LLM fundamentals

Indicative salary ranges

Nigeria	₦6M – ₦30M / yr
United Kingdom	£42k – £120k / yr
United States	$105k – $230k / yr
Canada	C$85k – C$170k / yr

How people get here

BSc in Statistics, Maths, Computer Science or Economics
MSc in Data Science / Analytics
Career switch via applied ML certificates

Outlook

Roles are broadening into ML engineering and AI product roles; specialists in causal inference and evaluation are highly valued.

Trusted external sources

Not sure this fits?

Talk to your IIOP AI Career Coach about whether this pathway aligns with your interests, values and readiness profile.