What Jobs are available for Senior Data Scientist Roles in Kenya?
Showing 2543 Senior Data Scientist Roles jobs in Kenya
Biostatistician - Remote Research Role
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Junior Data Scientist - Graduate Role
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Junior Data Scientist - Graduate Role - Remote
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Remote Junior Data Scientist - Graduate Role
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Machakos, Machakos, KE graduate program.
Responsibilities:
- Assist in collecting, cleaning, and preparing data for analysis.
- Perform exploratory data analysis (EDA) to identify patterns and insights.
- Support the development and implementation of machine learning models.
- Create data visualizations to communicate findings effectively.
- Collaborate with senior data scientists on various projects.
- Document code, methodologies, and results.
- Learn and apply new data science techniques and tools.
- Participate in team discussions and contribute to problem-solving.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis techniques.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with SQL for data extraction and manipulation.
- Basic knowledge of machine learning algorithms is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
- Eagerness to learn and work independently in a remote setting.
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AI-Powered Research Analyst (Graduate Role)
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Junior Data Scientist (Remote Graduate Role)
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Responsibilities:
- Assist in data cleaning, preprocessing, and exploratory data analysis.
- Support the development and implementation of machine learning models.
- Conduct statistical analysis to identify trends and patterns in data.
- Help in feature engineering and model selection processes.
- Visualize data and present findings to the team.
- Collaborate with senior data scientists on various projects.
- Learn and apply various data science tools and techniques.
- Assist in the interpretation of model results and provide insights.
- Contribute to documentation of data science processes and methodologies.
- Participate in team meetings and contribute to discussions.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in Python or R, and relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Strong analytical and problem-solving skills.
- Excellent attention to detail and organizational abilities.
- Eagerness to learn and adapt to new technologies.
- Ability to work effectively in a remote team environment.
- Good communication skills, both written and verbal.
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Expert Data Engineering
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Kenya
Expert Data Engineering*
Organization
- Welthungerhilfe
Posted 8 Oct 2025 Closing date 24 Oct 2025
The position is to be filled as soon as possible, with an initial contract duration of two years. There are very good prospects for an extension. Employment location will be Nairobi, Kenya.
We are the fairly new Data Analytics & AI (D&A) team. In collaboration with colleagues from all areas of our organization, we develop solutions and approaches in the large cosmos of Advanced Analytics. Our strategic focus is on data-based learning. Your opportunity: You can be actively involved in building an organization-wide cloud data warehouse and analytics platform and gain fascinating insights from our data. You will be part of a dedicated, innovative team that drives data-driven decisions and always keeps the well-being of our organization in mind. Our challenges as an NGO are special: your stakeholders can be part of the donor service in Bonn or project managers* in our 37 project countries. There in the field, hurdles like power cuts or missing internet connections can make data collection difficult. It's not always easy, but challenging.
The aims of the job are to consult the country offices to plan, implement and further ICT applications, infrastructure and projects promoted by Welthungerhilfe IT on the basis of the valid concept papers and in accordance with ICT HQ operations. The job holder insures efficient and effective ICT operations by training, advising as well as hands-on trouble shooting in respective countries/offices assigned. Are you up for it? Then we look forward to getting to know you
Your responsibilities
- You actively shape the design and development of data analytics and AI solutions based on cloud technologies.
- For the joint development of analytical products with the business unit, you manage the collaboration in agile and interdisciplinary teams to turn data into insights.
- You will guide colleagues from the department, set standards for the use of our products and solutions, and be a Data Ambassador for the organization, like everyone on the team.
- You identify use cases, develop their technical design and implementation up to operation and implement the associated data pipelines including visualizations in dashboards.
- Together with our Data Architect, you develop a sustainable infrastructure as well as data pipelines to supply analytical products from different data sources.
- You are willing to share your experience with colleagues and departments
Your profile
- First and foremost, we are convinced by your personality: your passion for the topic of data analysis paired with your will to move the organization forward together with us.
- You have a master's degree in (business) informatics, data science, (business) mathematics, software engineering or similar.
- You also enjoy working in a team, taking responsibility for tasks and expressing your opinion.
- Thanks to your quick comprehension and strong analytical thinking, you are also willing to take on new tasks.
- You are service-oriented, proactive and communicative, have a high quality standard, but do not lose sight of your goal and work analytically and quickly with fun in creative solutions.
- You have very good SQL skills - in addition, experience with the Azure tool stack and MS PowerBI would make it easier for you to get started.
- It would be great if you already have experience in designing and implementing a wide variety of interfaces (including REST APIs).
- You already have knowledge in data modeling of analytical databases (Dimensional Modeling, Data Vault).
- You have advanced knowledge of common data processing architectures and processes (e.g. ETL / ELT).
- English comes easily to your lips and fluently into the document, because Welthungerhilfe works in almost 40 countries
Our offer
We offer you the opportunity to work in a responsible and interesting field as part of an extremely dedicated team. Welthungerhilfe attaches great importance to the personal and professional development of its employees. Remuneration is based on our gender-independent salary scale.
Please send your application via our online recruiting system by October 24, 2025.
Your contact person is the HR Manager in Nairobi, Kenya. Welthungerhilfe is committed to fighting terrorism in all its activities. Accordingly, any applicant who is offered employment will be screened against lists of known and suspected terrorists.
- Welthungerhilfe values diversity and ensures an inclusive, non-discriminatory working environment. We welcome applications from suitably qualified people from all sections of the community.
How to apply
Please send your application via our online recruiting system by October 24, 2025.
Your contact person is the HR Manager in Nairobi, Kenya. Welthungerhilfe is committed to fighting terrorism in all its activities. Accordingly, any applicant who is offered employment will be screened against lists of known and suspected terrorists.
- Welthungerhilfe values diversity and ensures an inclusive, non-discriminatory working environment. We welcome applications from suitably qualified people from all sections of the community.
Job details
Country
- Kenya
City Nairobi Source
- Welthungerhilfe
Type
- Job
Career category
- Information Management
Years of experience
- 3-4 years
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Lead Remote Data Scientist - Mineral Exploration
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- Lead the development and implementation of predictive models for mineral prospectivity mapping and resource estimation.
- Design and deploy machine learning algorithms to identify geological patterns and anomalies from diverse data sources (e.g., geochemical, geophysical, remote sensing).
- Collaborate closely with geologists, geophysicists, and exploration managers in a virtual environment to define analytical needs and interpret results.
- Develop data visualization tools and dashboards to communicate complex findings to stakeholders at all levels.
- Oversee the data infrastructure and pipelines, ensuring data quality, integrity, and accessibility for analytical purposes.
- Mentor and guide a team of data analysts and scientists, fostering a culture of innovation and continuous learning.
- Stay current with the latest advancements in data science, AI, and their applications within the exploration domain.
- Present technical findings and strategic recommendations to senior leadership.
- Contribute to the company's R&D efforts in data-driven exploration techniques.
- Manage project timelines and resources effectively to deliver impactful data solutions.
- Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Geology, Geophysics, or a related quantitative field.
- A minimum of 9 years of progressive experience in data science, with a significant focus on the mining or natural resources sector.
- Demonstrated expertise in machine learning, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Strong understanding of geological and geophysical data interpretation.
- Excellent analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to non-technical audiences.
- Proven leadership experience, with the ability to mentor and manage a remote team.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- A proactive mindset and a passion for uncovering the earth's hidden resources through data.
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