1,576 Data Scientist Positions jobs in Kenya

Data scientist

Nairobi, Nairobi KES104000 - KES130878 Y Amara Capital Limited

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Company Description

Amara Capital Limited helps businesses craft a message, design and brand products and services, automate the marketing process, and build multiple sources of income. We specialize in developing innovative solutions to enhance brand identity and drive business growth. Our approach is client-centric, ensuring that each solution is tailored to meet the specific needs of our clients. Based in Nairobi County, Kenya, we aim to deliver exceptional results that help businesses thrive.

Role Description

This is a full-time hybrid role for a Data Scientist, located in Nairobi County, Kenya, with some work-from-home flexibility. The Data Scientist will be responsible for analyzing large datasets, developing and implementing data models, and creating data visualizations to support decision-making processes. Day-to-day tasks include performing data analysis, building predictive models, visualizing data insights, and contributing to the overall data strategy of the company. The Data Scientist will collaborate with cross-functional teams to identify business needs and provide data-driven solutions.

Qualifications

  • Data Science, Data Analytics, and Data Analysis skills
  • Proficiency in Statistics and Data Visualization
  • Strong programming skills in languages such as Python or R
  • Experience with data visualization tools like Tableau or Power BI
  • Excellent problem-solving and analytical skills
  • Ability to work independently and as part of a team
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
  • Experience in the financial sector is a plus
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Data Scientist

Nairobi, Nairobi KES80000 - KES120000 Y KenyaMOJA

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Job Description/Requirements
JOB SUMMARY

RequirementsBachelors or master's in computer science, machine learning, or related field  5+ years of industry experience working on data scientist with a focus on data modelling, stakeholder management and data mining., Proficiency using machine learning frameworks like keras, pytorch, Tensorflow, sckit-learn, statistical tools (statistical tests, distribution, regression, maximum likelihood estimators, strong math skills (multivariate calculus, linear algebra), machine learning methods (k-Nearest Neighbours, Naive Bayes, SVm, Decision forests), Data visualization tools (matplotlib, , Tableau). Experience working with structured and unstructured data using Python, R, Scala, Java, SQL in addition to one or more of Spark/Hadoop/Hive/HDFS , Apache Airflow, RabbitMQ/Kafka, Spark, Kubernates, and dbt. Working knowledge of databases, data systems, and analytics solutions, including proficiency in SQL, NoSQL, Java, Spark and Amazon Redshift for reporting and dashboard building. Experience with implementing unit and integration testing.

Responsibilities
Data Mining (20%): Design and implement robust data mining models to support analytics and reporting requirements. Carry out pre – processing, cleansing, and validating the integrioty of data to be used for analysis Enhance data collection procedures to include all relevant information for developing analytic systems. Statistical modelling (70%) Use statistical and machine learning techniques to develop solutions to support business operations from sales to credit collection. Stakeholder management (10%) Communicate results with stakeholders within the business operations teams.

Required Skills
Tax management, Cost tracking, analysis, Data analysis, Statistics, Data science, Reporting

Required Education
Bachelor's degree

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Senior Data Scientist

Nairobi, Nairobi KES1500000 - KES3000000 Y Pezesha

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Job Description

Location:

Nairobi, Kenya (Hybrid/Remote options available)

Reports to:

Data Science Manager

About Pezesha

Pezesha is a leading embedded finance company that provides affordable and data-driven credit solutions to MSMEs across Africa. We combine technology, alternative data, and financial partnerships to close the $360B financing gap for small businesses while ensuring sustainable financial inclusion.

We are looking for a
Senior Data Scientist

to join our team and lead the development of advanced credit risk models, strategic insights, and business intelligence tools that drive high repayment rates, operational efficiency, and portfolio growth. This role is critical in strengthening our risk management framework and scaling our impact across the continent.

Core Responsibilities

Credit Risk Model Development

  • Develop, test, and iterate credit risk models on a quarterly basis.
  • Ensure repayment rates consistently exceed
    95%

, with a default rate of less than
3%

across all portfolios.

Strategic Data Insights

  • Provide data-driven insights and reports to portfolio leads, senior management, and external stakeholders.
  • Translate findings into actionable strategies to enhance performance and mitigate risks.

Data Extraction, Cleaning & Mining

  • Lead the end-to-end processes of data extraction, cleaning, transformation, and mining.
  • Build datasets that power descriptive, predictive, and spatial models to support decision-making.

Cross-Functional Experimentation

  • Design and lead experiments across business units to optimize products, processes, and risk strategies.
  • Measure and communicate results to ensure learnings drive continuous improvements.

Business Intelligence Development

  • Develop and enhance BI tools to maximize product efficiency, improve Lifetime Value (LTV), and gross margins.
  • Deliver at least two major BI tool enhancements or new feature implementations per quarter.

Real-Time Dashboards & Reporting

  • Build and maintain real-time dashboards with a 99% uptime and accuracy target.
  • Deliver monthly finance reports on-time and with > 99% accuracy in reports. Continuously add to exception reports to enhance portfolio quality and leverage AI + automation to improve reporting processes.
  • Ensure accurate and timely lender reporting, portfolio impact analysis, and internal business reporting.

Documentation & Transparency

  • Maintain clear documentation of models, experiments, and workflows to ensure reproducibility and transparency.

Mentorship & Team Leadership

  • Mentor junior data scientists and analysts, fostering a collaborative, learning-driven culture.
  • Lead the data science team in setting priorities, managing workloads, and delivering high-quality outputs.

Task Delegation & Ad Hoc Priorities

  • Execute tasks assigned by the
    CEO, COO, Data Science Manager or CDO

, prioritizing based on organizational goals and impact.

Key Performance Indicators (KPIs)

  • LMS Accuracy:

Achieve and maintain ≥
98% accuracy

in Learning Management System data validation.
- Sprint Completion:

Deliver
90%+ completion rate

for planned sprints on time.
- SLA Adherence:

Maintain
95%+ adherence

to Service Level Agreements (SLAs) across data services.
- Knowledge Transfer:

Deliver and track
quarterly KT sessions

and training for the data team.
- Credit Risk Model Performance:

Maintain
95% repayment rate

and <
3% default rate

via model iterations.
- Business Intelligence:

Deliver at least
2 new BI enhancements/features per quarter

to improve reporting and decision-making.

Qualifications & Skills

  • Master's or higher in Data Science, Statistics, Computer Science, Economics, or related field.
  • 6+ years of proven experience in data science, machine learning, and credit risk modeling (preferably in fintech or financial services).
  • Strong expertise in Python, R, SQL, and big data tools.
  • Experience with machine learning frameworks (TensorFlow, Scikit-learn, XGBoost, etc.).
  • Proficiency in data visualization tools (PowerBI, ggplot, or plotly).
  • Strong understanding of credit risk management, repayment behavior, and portfolio analytics.
  • Excellent leadership, mentoring, and cross-functional collaboration skills.
  • Strong communication skills with the ability to translate complex data into actionable insights.

Why Join Pezesha?

  • Be part of a mission-driven company enabling financial inclusion for MSMEs across Africa.
  • Work with a high-impact, data-driven team solving real-world financial challenges.
  • Opportunities for growth, leadership, and regional exposure in a fast-scaling fintech.
  • Competitive compensation and benefits package.

To Apply:

Please send a single pdf file containing a brief and bullet-pointed Cover Letter and your CV on the subsequent page(s) with "Ref: 2025-
Senior Data Scientist
" as the subject of your email to Interviews will be done on a rolling basis. In your application kindly add/attach the information below to

  • At least one related project that you have worked on and accessible on Github
  • Attach your up to date CV
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Senior Data scientist

KES90000 - KES120000 Y Gozem - Africa's Super App

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Job Description

Founded in 2018, Gozem is today a technological group of more than 400 people,
agile and ambitious
, which offers via its mobile application a very wide range of services including transport, delivery, financing, mobile money and many others, to African users. Present in Benin, Togo, Gabon and Cameroon, our group's ambition is to become "Africa's Super App" by establishing itself throughout French speaking Africa. Our solution is 100% focused on the African market, serving drivers, customers, traders and soon, SMEs in our areas of activity.

We are a multinational group, with a strong presence in several cities and pride ourselves on
helping to improve the lives of local communities
through the digitalisation of the market and the introduction of technology-based efficiencies.

Are you looking to grow in a challenging and friendly environment? Do you want to evolve and progress in dynamic and disruptive digital contexts?

Join us in building a new African digital ecosystem that improves the quality of life.
Together, let's make Africa smile
Website:

Google Play Store:

Apple App Store:

Glassdoor:

What is a Senior Data Scientist at Gozem?
At Gozem, our Senior Data Scientist is a strategic role at the intersection of
data science, applied machine learning, and fintech innovation
. In the Gozem Money business, you will design and implement advanced models to analyze transactional and behavioral data, predict outcomes, detect risks, and unlock new growth opportunities.

This role goes beyond model-building: you will take ownership of the
end-to-end data science workflow
, including fetching and cleaning data from diverse sources, building scalable models, and deploying them in production. You will collaborate closely with business leaders, engineers, and product managers to translate complex datasets into actionable insights that shape financial inclusion in Sub-Saharan Africa.

As a senior member of the data team, you will also mentor junior team members, contribute to our data culture, and play a key role in
ensuring insights quality, governance, and reliability
across our pipelines.

Your Tasks

  • Build and deploy advanced statistical, machine learning, and AI models for use cases such as fraud detection, credit scoring, customer segmentation, churn prediction, and personalization.
  • Design and implement analytics pipelines: clean, structure, and consume raw data from our data lakehouse, and other sources.
  • Lead data-driven decision-making: collect, transform, analyze, and communicate insights that directly inform product, risk, and growth strategies.
  • Manage and deliver data science projects from conception to production, ensuring alignment with business objectives.
  • Collaborate with cross-functional teams (Product, Engineering, Operations, Finance) to translate business problems into data solutions.
  • Monitor and optimize the performance of models and pipelines, ensuring the related solutions remain reliable, fair, and scalable.
  • Mentor junior data scientists and analysts, providing guidance on best practices and methodologies.
  • Stay up-to-date with the latest advances in AI/ML, MLOps, and fintech analytics, and help integrate them into Gozem's stack.

You are the right person for this job if you .

  • Have strong expertise in machine learning, statistical analysis, and predictive modeling, and know how to bring models from prototype to production.
  • Have hands-on experience with transactional data, financial services data, or digital payments.
  • Are comfortable with basic analytics engineering tasks: writing efficient SQL queries, cleaning large messy datasets, and automating data flows.
  • Have experience working with metadata standards, insights quality frameworks, and governance practices.
  • Are able to communicate complex technical concepts clearly to non-technical stakeholders and influence decision-making.
  • Can balance innovation with pragmatism, delivering models and insights that drive measurable business impact.
  • Thrive in a fast-paced environment, taking ownership of challenges and moving projects forward.

You have

  • Education: Bachelor's/Master's degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.
  • Experience: 5+ years of experience in data science, preferably in fintech, banking, payments, or digital platforms.
  • Core skills: Mastery of SQL, Python, and ML frameworks (scikit-learn, TensorFlow, PyTorch).
  • Analytics engineering basics: Experience with ETL & automation tools (Airflow, Dataform, or equivalent), and handling large-scale structured/unstructured datasets.
  • Visualization: Proficiency in Looker Studio, Metabase, or other BI tools.
  • Nice-to-have skills: Knowledge of R, BigQuery, GCP, or MLOps frameworks (MLflow, Kubeflow, etc.).
  • Tools to master: Asana, Jira, Google Suite.
  • Languages: French and/or English (bilingual proficiency is a strong plus).
  • Location: Hybrid.

What We Like Most

  • Self-motivated, autonomous, and proactive in identifying opportunities to create value with data.
  • A natural mentor who enjoys helping others grow.
  • Detail-oriented, structured, and able to manage time efficiently in a fast-paced, multi-market environment.
  • Excited about the challenge of using data to transform financial services in Africa.

Working Conditions & Benefits
We offer our employees a fair, friendly and intercultural working environment, in which we strive to develop the talents of each individual. To achieve this, we offer:

Open-space offices and teleworking time possible (to be arranged with your manager)

A gross monthly remuneration defined according to our internal salary grid as well as the relevance of your past experiences for the position.

An option to buy shares in Gozem

An annual bonus allowing you to receive between 0 and 4.5 months of additional salary the following year

Benefits on our Super App for your travel and deliveries

A health and IT insurance package

And above all, the opportunity to join a young, dynamic team that has a real social impact in French-speaking Africa
Interview process

  • An initial introductory meeting with the recruitment manager (15 minutes)
  • A written interview questionnaire
  • A business case to be completed within 07 days
  • A presentation of your business case with the head of the Data team (future n+1) and a time to discuss your professional experience followed by a referral request (you give us 4 professional contacts to whom we send a questionnaire)
  • One final validation interview with one of our co-founders
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Graduate Data Scientist

01001 Ngong KES35000 Monthly WhatJobs

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intern
Our client is looking for bright and ambitious recent graduates to join their fully remote team as Graduate Data Scientists. This internship program is designed to provide hands-on experience in leveraging data to solve complex business problems. You will work closely with experienced data scientists, contributing to real-world projects and gaining invaluable skills in data analysis, machine learning, and statistical modeling. This is an exceptional opportunity for aspiring data professionals to launch their careers in a supportive, remote-first environment.

Responsibilities:
  • Assist in collecting, cleaning, and preparing large datasets for analysis.
  • Perform exploratory data analysis to identify patterns, trends, and insights.
  • Develop and implement statistical models and machine learning algorithms under guidance.
  • Support the development of data visualizations to communicate findings effectively.
  • Collaborate with senior data scientists on various projects and research initiatives.
  • Learn and apply various data mining techniques and tools.
  • Document code, methodologies, and findings meticulously.
  • Participate in team meetings and contribute to discussions on data-related challenges.
  • Assist in the testing and validation of predictive models.
  • Gain exposure to cloud computing platforms and big data technologies.
  • Contribute to the continuous learning and development within the data science team.
Qualifications:
  • Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Strong foundational knowledge of statistics, machine learning, and data mining concepts.
  • Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
  • Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
  • Basic understanding of database querying languages (e.g., SQL).
  • Excellent analytical and problem-solving abilities.
  • Strong communication skills, both written and verbal.
  • Eagerness to learn and adapt to new technologies and methodologies.
  • Ability to work independently and collaboratively in a remote setting.
  • Enthusiasm for data and its potential to drive business value.
This graduate program is located in Ruiru, Kiambu, KE but is a fully remote opportunity.
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Agricultural Data Scientist

00100 Abothuguchi West KES100000 Annually WhatJobs

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full-time
Our client is seeking an innovative Agricultural Data Scientist to drive advancements in modern farming practices. This is a fully remote position, enabling you to contribute to agricultural sustainability and efficiency from anywhere. You will be responsible for collecting, analyzing, and interpreting vast amounts of agricultural data to provide actionable insights that improve crop yields, optimize resource management, and enhance overall farm productivity. Your role will involve developing predictive models for weather patterns, soil conditions, and pest outbreaks, as well as designing data-driven strategies for sustainable agriculture. We are looking for a candidate with a strong background in statistics, machine learning, and agricultural science. Key responsibilities include building and deploying data models, visualizing complex data sets, and collaborating with agronomists and farmers to implement data-driven solutions. Proficiency in programming languages such as Python or R, and experience with big data technologies are essential. A Master's or Ph.D. in Data Science, Agronomy, Agricultural Engineering, Statistics, or a related field is required, along with at least five years of experience in agricultural data analysis or a similar role. Familiarity with precision agriculture techniques, remote sensing, and GIS is highly desirable. Excellent communication skills are needed to translate technical findings into understandable recommendations for stakeholders. This is an exciting opportunity to make a significant impact on the future of food production within a globally-focused, remote-first organization, with research interests connected to the agricultural landscape of Nairobi, Nairobi, KE .
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Graduate Data Scientist

60100 Meru , Eastern KES40000 Annually WhatJobs

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intern
Our client is seeking ambitious and talented Graduate Data Scientists to join their innovative team in a fully remote, internship capacity. This is an exceptional opportunity for recent graduates to gain hands-on experience in data analysis, machine learning, and predictive modeling within a dynamic and supportive environment. You will work on real-world projects, applying your academic knowledge to solve complex business problems. The ideal candidate will have a strong foundation in statistics, mathematics, and computer science, with proficiency in programming languages such as Python or R. Responsibilities include collecting, cleaning, and analyzing large datasets, developing and implementing machine learning models, and communicating findings through visualizations and reports. You will collaborate closely with senior data scientists and other team members, contributing to the entire data science lifecycle. This role requires excellent problem-solving skills, a curious mindset, and a passion for data-driven insights. The successful candidate must be highly self-motivated, detail-oriented, and capable of working independently in a remote setting. Strong communication skills are essential for sharing your findings and collaborating effectively. This internship offers invaluable exposure to cutting-edge data science techniques and the opportunity to build a strong foundation for a career in the field.

Qualifications:
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field, obtained within the last 12 months.
  • Strong understanding of statistical concepts and machine learning algorithms.
  • Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
  • Experience with data manipulation and analysis tools.
  • Familiarity with data visualization techniques and tools.
  • Excellent analytical and problem-solving skills.
  • Strong written and verbal communication skills for remote collaboration.
  • Ability to work independently and manage time effectively in a remote setting.
  • Eagerness to learn and adapt to new technologies and methodologies.
  • Previous internship or project experience in data science is a plus.
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Data Scientist Intern

20101 Mwembe KES40000 Annually WhatJobs

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intern
Our client, a forward-thinking organization focused on leveraging data for strategic decision-making, is offering a fully remote Data Scientist Intern position. This is an unparalleled opportunity for aspiring data professionals to gain hands-on experience in a dynamic and innovative environment. The intern will work alongside our experienced data science team, contributing to real-world projects and developing practical skills in data analysis, machine learning, and predictive modeling. Responsibilities will include collecting, cleaning, and pre-processing large datasets, assisting in the development and testing of machine learning models, and visualizing data to extract actionable insights. You will gain exposure to various data science tools and programming languages, such as Python and R, and learn best practices in data wrangling, feature engineering, and model evaluation. The role involves supporting senior data scientists in the exploration of new data sources, the implementation of algorithms, and the interpretation of results. This internship is designed to provide a comprehensive learning experience, allowing the intern to contribute meaningfully while growing their technical expertise. Strong analytical skills, a passion for data, and a proactive learning attitude are essential. Familiarity with basic statistical concepts and a desire to understand complex datasets are highly valued. This is a fully remote position, offering flexibility and the chance to collaborate with a distributed team of professionals. We are looking for bright, motivated individuals eager to make an impact and build a strong foundation in the field of data science. This internship provides a unique pathway to understanding the intricacies of data-driven problem-solving in a supportive, virtual setting.
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Graduate Data Scientist

80100 Nairobi, Nairobi KES50000 Monthly WhatJobs

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intern
Our client is offering an exciting opportunity for a motivated Graduate Data Scientist to join their innovative team in a fully remote capacity. This internship is designed for individuals who are passionate about data analysis, machine learning, and uncovering insights from complex datasets. You will work alongside experienced data scientists and engineers, contributing to real-world projects and gaining invaluable hands-on experience. This role provides a fantastic foundation for a career in data science, allowing you to apply your academic knowledge in a practical, business-oriented environment. You will be involved in the entire data science lifecycle, from data collection and cleaning to model development and interpretation.

Key Responsibilities:
  • Assist in collecting, cleaning, and preprocessing large and complex datasets from various sources.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
  • Develop and implement machine learning models under the guidance of senior data scientists.
  • Evaluate the performance of developed models and provide insights for improvement.
  • Create compelling data visualizations to communicate findings and insights to stakeholders.
  • Contribute to the documentation of data science processes, methodologies, and results.
  • Collaborate with team members on ongoing data science projects.
  • Learn and apply new data analysis techniques and tools.
  • Assist in the deployment and monitoring of machine learning models.
  • Participate in team meetings and brainstorming sessions to generate new ideas.
  • Support the team in ad-hoc data-related requests and analyses.
Qualifications:
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
  • Strong understanding of fundamental statistical concepts and machine learning algorithms.
  • Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
  • Familiarity with SQL for data querying and manipulation.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills, both written and verbal, with the ability to explain technical concepts.
  • Ability to work independently and manage time effectively in a remote setting.
  • A strong desire to learn and grow in the field of data science.
  • Previous internship or project experience in data analysis or machine learning is advantageous.
This is an excellent opportunity for a recent graduate to launch their career in data science within a supportive and innovative remote work environment.
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Graduate Data Scientist

20200 Kapsuser KES40000 Annually WhatJobs

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Job Description

intern
Our client is offering an exceptional opportunity for a driven Graduate Data Scientist to join their innovative team on a fully remote internship. This role is perfect for recent graduates eager to apply their academic knowledge to real-world business challenges and gain hands-on experience in data analysis, machine learning, and predictive modeling. You will work closely with senior data scientists and analysts, contributing to various projects that leverage data to drive business insights and strategic decisions. Responsibilities include data cleaning, feature engineering, building and evaluating machine learning models, and visualizing data to communicate findings effectively. You will gain exposure to various data science tools and programming languages, such as Python and R, and learn about cloud platforms and big data technologies. The ideal candidate will have a strong foundation in statistics, mathematics, and computer science, with a keen interest in machine learning and artificial intelligence. Excellent analytical and problem-solving skills are essential, along with a proactive attitude and a desire to learn continuously. Proficiency in programming languages like Python or R, and familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) are highly desirable. Strong communication skills are needed to present complex findings clearly and concisely. As this is a remote internship, you must be highly self-motivated, organized, and capable of working independently with minimal supervision. This is a fantastic chance to launch your career in data science with a reputable organization, contributing to meaningful projects from **Kericho, Kericho, KE**.
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