2,479 Junior Data Scientist Remote Graduate Program jobs in Kenya

• Structured training curriculum covering statistical analysis, machine learning, and programming languages (Python/R).
• Participation in real-world data science projects with direct business impact.
• Mentorship from experienced data scientists and team leads.
• Exposure to various industries and business challenges.
• Development of skills in data cleaning, feature engineering, model building, and evaluation.
• Opportunity to work with advanced analytical tools and cloud platforms.
• Collaboration with cross-functional teams in a virtual environment.
• Clear path for career progression within the data science domain.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and machine learning algorithms.
• Proficiency in at least one programming language commonly used in data science (Python or R).
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team.
• Eagerness to learn and adapt to new technologies and methodologies.
• Previous internship or project experience in data analysis or related fields is a plus.
• Must be eligible to work in the specified country for the duration of the internship.

• Comprehensive Training: Participate in structured training modules covering essential data science concepts, tools, and techniques.
• Mentorship: Receive guidance and support from experienced data science professionals.
• Hands-on Projects: Contribute to challenging projects that offer practical application of learned skills.
• Skill Development: Enhance your proficiency in programming languages like Python or R, SQL, and various machine learning libraries.
• Remote Work: Gain valuable experience working in a fully remote, collaborative team environment.

• Assist in data collection, cleaning, and preprocessing for various analytical tasks.
• Support the development and implementation of machine learning models under supervision.
• Conduct exploratory data analysis to identify trends and patterns.
• Help create data visualizations and dashboards to communicate insights.
• Contribute to documentation of data processes and model methodologies.
• Learn and apply statistical techniques to analyze datasets.
• Participate in team meetings and contribute to project discussions.
• Adhere to data privacy and security best practices.
• Gain exposure to different data science tools and platforms.
• Actively seek feedback and opportunities for professional growth.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong foundational knowledge of statistics, probability, and mathematics.
• Basic understanding of machine learning concepts and algorithms.
• Familiarity with at least one programming language commonly used in data science (e.g., Python, R).
• Basic knowledge of SQL for data querying.
• Excellent analytical and problem-solving skills.
• Strong desire to learn and develop in the field of data science.
• Good communication and interpersonal skills, suitable for remote collaboration.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to contribute to team goals and learn from colleagues.

• Engage in challenging data science projects from conception to completion.
• Receive mentorship from senior data scientists and industry experts.
• Learn and apply various machine learning algorithms and statistical models.
• Develop skills in data visualization, storytelling, and communicating complex findings.
• Work with large datasets using tools such as Python, R, SQL, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Participate in regular training sessions and workshops focused on advanced data science topics.
• Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
• Gain exposure to cloud platforms (AWS, Azure, GCP) and big data technologies.
• Develop a portfolio of projects to showcase your skills and accomplishments.
• Contribute to the company's data-driven decision-making processes.

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Physics, Engineering, or a closely related quantitative field.
• Strong foundation in statistical concepts and programming, particularly Python or R.
• Demonstrated interest and understanding of machine learning principles.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication abilities.
• Ability to work independently and collaboratively in a remote team environment.
• Proactive learner with a strong desire to acquire new skills and knowledge.
• Must be legally eligible to work in Kenya.
• Availability for the full duration of the internship program.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering, Economics).
• Strong foundation in statistical analysis, machine learning concepts, and data modeling.
• Proficiency in at least one programming language commonly used in data science, such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools.
• Basic understanding of database concepts and SQL.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to work independently, manage time effectively, and collaborate virtually in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• A portfolio of personal projects or relevant coursework demonstrating data analysis skills is a plus.

• Assist senior researchers in conducting literature reviews and summarizing findings.
• Gather and organize data from various sources, ensuring accuracy and completeness.
• Support the design and execution of research studies, both qualitative and quantitative.
• Contribute to the analysis of research data using statistical software and other tools.
• Help in the preparation of research reports, presentations, and publications.
• Maintain research databases and documentation.
• Participate in team meetings and contribute ideas for research projects in **Meru, Meru, KE** focused initiatives.
• Learn and apply research methodologies and ethical guidelines.
• Assist with administrative tasks related to research projects, as needed.
• Develop strong analytical and critical thinking skills through practical application.

• Bachelor's degree in a relevant field (e.g., Social Sciences, Humanities, Sciences, Business).
• Strong academic record with a demonstrated interest in research.
• Excellent written and verbal communication skills.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
• Familiarity with basic research methods and data analysis techniques is a plus.
• High level of organization and attention to detail.
• Ability to work independently and as part of a remote team.
• Eagerness to learn and a proactive attitude.
• Strong internet connectivity and a suitable home office setup are required for this remote position.

• Process, interpret, and integrate diverse geological, geochemical, and geophysical datasets (e.g., aeromagnetic, seismic, drilling logs, assay results).
• Develop and utilize advanced geological models and 3D visualizations to understand subsurface geology and identify exploration targets.
• Apply statistical analysis techniques to evaluate data quality, identify anomalies, and assess exploration potential.
• Collaborate remotely with geologists, geophysicists, and exploration managers to define data requirements and interpret results.
• Prepare comprehensive reports, maps, and presentations detailing findings, methodologies, and recommendations for exploration programs.
• Utilize specialized software for geological modeling, data analysis, and visualization (e.g., ArcGIS, Leapfrog, Petrel).
• Stay abreast of new exploration technologies, methodologies, and data integration techniques.
• Conduct literature reviews and data mining to gather relevant geological and historical exploration information.
• Assist in the planning and design of exploration surveys and sampling programs.
• Maintain organized and accessible databases of exploration data.
• Contribute to the assessment of resource potential and economic viability of identified targets.

• Bachelor's or Master's degree in Geology, Geophysics, Data Science, or a related earth science field.
• Proven experience in mineral exploration data analysis and geological interpretation.
• Strong proficiency in geological software for modeling, mapping, and data visualization.
• Solid understanding of geochemical and geophysical methods relevant to mineral exploration.
• Excellent analytical, statistical, and problem-solving skills.
• Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL) is highly desirable.
• Exceptional remote communication and collaboration skills, with the ability to present complex technical information clearly.
• Ability to work independently and manage multiple projects effectively in a remote setting.
• Experience with database management and data quality assurance.
• Knowledge of different mineral deposit types and exploration strategies.
• A proactive approach to data interpretation and target generation.

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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