If you’ve been wondering what a data scientist salary in Kenya looks like, you’re not alone. With data becoming the new gold, many professionals are exploring this exciting and high-paying field. 

Companies across Kenya are investing heavily in analytics, AI, and machine learning, and they need skilled data scientists to make sense of it all.

So, how much do these experts actually earn? The average annual salary for a data scientist in Kenya is approximately KES 2,831,100. That’s a strong indicator of just how valuable data skills have become in today’s market.

In this article, we’ll explore what drives these salaries, what the junior data scientist salary in Kenya looks like, and which skills can help you move up the pay scale. 

Whether you’re just starting or planning your next career move, this guide will provide a clear picture of what to expect and how to achieve it.

Average Data Scientist Salary in Kenya 2025

The data scientist salary in Kenya continues to grow as more organisations depend on data for business decisions. According to World Salaries, the median annual salary for data scientists is KES 2,893,600. 

This includes allowances such as housing and transport. The figure illustrates the increasing demand for data expertise and the growing value of this role, particularly in Nairobi and other major business hubs.

Here are the main factors that affect how much a data scientist earns in Kenya:

• Years of experience and seniority level
• Educational background and certifications
• Industry and company size
• Technical skills and tool proficiency
• Location and cost of living differences

Read more – How to Become a Data Scientist in Kenya?

Data Scientist Salary by Experience Level in Kenya

Experience plays the biggest role in determining the data scientist salary in Kenya. As professionals gain more expertise, their pay scales increase significantly. 

Entry-level data scientists typically earn around KES 1,645,600 per year, while highly experienced experts can earn up to KES 4,140,900 annually. These figures reflect how experience not only builds technical skills but also enhances one’s value across industries.

Here’s a closer look at how salary grows with experience in Kenya:

• 0–2 years: KES 1,645,600
• 2–5 years: KES 2,124,400
• 5–10 years: KES 2,928,100
• 10–15 years: KES 3,622,400
• 15–20 years: KES 3,875,100
• 20+ years: KES 4,140,900

Data Scientist Salary by Education Level in Kenya

Education has a direct impact on the data scientist salary in Kenya. Higher qualifications often lead to better pay and faster career growth. Many employers value advanced analytical and research skills gained through degrees or certifications. 

‘Professionals with postgraduate qualifications tend to earn significantly more, reflecting the demand for deep technical expertise in this field.

Here’s how education level affects data science salaries in Kenya:

• Bachelor’s Degree: Average salary of KES 1,930,500 per year
• Master’s Degree: Average salary of KES 2,662,900 per year
• PhD: Average salary of KES 4,369,800 per year

You may also like to read – Is Data Science Hard?

Key Skills That Influence Data Scientist Salary in Kenya

Strong technical and analytical skills are key factors behind a high data scientist salary in Kenya. Employers seek professionals who can transform complex data into actionable insights. 

Skills like programming, data visualisation, and machine learning make candidates more competitive and justify higher pay. As businesses become more data-driven, having these in-demand skills helps you grow faster in this field.

Here are the top skills that boost earning potential in Kenya:

• Proficiency in Python, R, and SQL for data analysis
• Strong grasp of machine learning and AI models
• Expertise in data visualisation tools like Power BI or Tableau
• Knowledge of big data frameworks such as Hadoop or Spark
• Advanced problem-solving and statistical thinking

Top Roles and Career Paths in Data Science

The data scientist salary in Kenya depends greatly on the role you hold and the responsibilities it carries. As data science continues to evolve, more specialised roles have emerged. 

Each position offers different salary ranges and growth opportunities based on skill level and experience. Professionals can choose paths that align with their interests, ranging from analytics to machine learning and data strategy.

Here are some of the most rewarding data science roles in Kenya today:

• Junior Data Scientist – entry-level role focused on data cleaning and model support.
• Data Analyst – interprets raw data to create reports and dashboards.
• Machine Learning Engineer – builds predictive models and automation solutions.
• Data Engineer – manages data pipelines and large-scale infrastructure.
• AI Specialist – applies AI techniques for business transformation.

Read more – Difference between Data Collection and Data Analysis

Emerging Trends in Data Science Careers in Kenya

The demand for data talent is evolving rapidly, driving steady growth in data scientist salaries in Kenya. Companies are moving beyond basic analytics to advanced AI-driven insights. This shift has created a surge in opportunities for skilled professionals. 

With more industries digitising, data science has become one of Kenya’s most future-ready career paths, offering both financial rewards and job stability.

Here are some key trends shaping data science careers in Kenya:

• Growing adoption of AI and machine learning in local businesses
• Increased demand for data-driven decision-making across sectors
• Rising interest in remote and freelance data roles
• Focus on ethical data use and governance
• Expansion of AI education and certification courses

Boost Your Data Science Career with Digital Regenesys

If you’re ready to advance your career and increase your earning potential, the Data Science Certificate Course from Digital Regenesys is the perfect next step. This course helps you master in-demand skills like data analysis, machine learning, and AI applications. 

Whether you’re just starting or aiming to grow into senior data roles, this learning journey prepares you for success.

Start your path to becoming a data expert today. Contact us to speak to a career advisor.

Conclusion

The data scientist salary in Kenya reflects the increasing value of this career in today’s digital economy. With growing demand across industries, skilled professionals can expect steady career growth and attractive pay. 

Whether you’re an aspiring or experienced data scientist, investing in the right education and practical skills can open doors to top opportunities.

Take the next step in your journey – Visit Digital Regenesys and start building a rewarding data career today.

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