Data Scientist Salary in Kenya

Data Scientist Salary Table

Salary by Experience

Tax & Cost of Living

Demand Outlook

How Much Does a Data Scientist Earn in Kenya?

The middle 50% of data scientists in Kenya earn between KES 2,660,000 and KES 4,010,000 a year, with the median at KES 3,250,000. Where you fall in that range depends mostly on three things: years of experience, employer type, and specialization. Because a large share of this work can be done remotely, professionals in Kenya increasingly compete for — and win — roles paying closer to international rates, which stretches the top of the local range upward.

Kenya vs the World

Converted to US dollars, the median data scientist salary in Kenya is $25,144 — 20% of what the same role pays in the United States ($125,000). The highest-paying countries we track for this role are Singapore ($206,571), Ireland ($188,496), Qatar ($180,769). Raw exchange-rate comparisons undersell local earnings, though: costs for housing, food, and services in Kenya are proportionally lower, so the lifestyle a median salary buys is better than the USD figure implies.

From Entry Level to Senior: What Changes

Experience pays in this field: entry-level roles average KES 2,210,000, mid-career professionals earn a median of KES 3,250,000, and senior specialists reach KES 4,480,000+. That is a 2.0x span from first job to senior level. In Kenya, the biggest single jumps typically come from switching employers rather than internal raises — a pattern consistent across most markets we track.

Job Market Outlook for Data Scientists

Demand for data scientists in Kenya is exceptionally strong, scoring 82/100 on our demand index. About 80% of positions in this field can be performed remotely or in hybrid arrangements, which widens the effective job market for candidates in Kenya beyond national borders. For job seekers this tilts negotiating leverage toward candidates: multiple offers are realistic, and counter-offers are common.

Real Purchasing Power

With inflation at 4.1%, a KES 3,250,000 salary needs a raise of at least KES 133,250 per year just to stand still in real terms. When comparing offers, an employer's track record on annual adjustments matters nearly as much as the starting figure.

Qualifications That Move the Needle

The standard entry route is master's degree in a quantitative field (often preferred). Day to day, the skills that consistently correlate with higher pay in this field are python, statistics, machine learning — and, at senior levels, sql and data visualization. In interviews, evidence beats credentials: portfolios, measurable outcomes, and references matter more to the final offer than the certificate list.

Where This Role Can Lead

Skills from this role transfer well into adjacent positions such as Data Analyst, Machine Learning Engineer, Data Engineer. Lateral moves like these are one of the most reliable ways to accelerate pay growth in Kenya — particularly moves toward roles with higher demand scores or greater remote flexibility.