2,334 Graduate Data Analyst Machine Learning Focus jobs in Kenya
Graduate Data Analyst - Machine Learning Focus
Posted 20 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets for analysis.
- Support the development and implementation of machine learning models under the guidance of senior staff.
- Perform exploratory data analysis to identify patterns, trends, and anomalies.
- Create data visualizations and reports to communicate findings effectively.
- Conduct statistical analysis and hypothesis testing.
- Collaborate with the data science team on various research and development projects.
- Document methodologies, code, and results clearly and concisely.
- Assist in the evaluation and validation of model performance.
- Learn and apply new data analysis techniques and tools.
- Participate in team meetings and contribute to project discussions.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong foundation in statistical concepts and analytical techniques.
- Basic understanding of machine learning algorithms and principles.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Excellent problem-solving and critical-thinking abilities.
- Strong attention to detail and accuracy.
- Good communication and teamwork skills, essential for remote collaboration.
- Enthusiasm for learning and a proactive attitude.
Expert Data Engineering
Posted today
Job Viewed
Job Description
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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Job Description
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.
Principal Research Scientist, Biomedical Engineering
Posted 4 days ago
Job Viewed
Job Description
Senior Research Scientist - Biomedical Engineering
Posted 18 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead and conduct cutting-edge research in areas such as medical devices, biomaterials, tissue engineering, or biomedical imaging.
- Design and execute complex experiments, including protocol development and data collection.
- Analyze and interpret experimental data using advanced statistical methods and software.
- Develop and validate new research methodologies and technologies.
- Collaborate with research teams, engineers, and clinicians to translate research findings into potential applications.
- Author high-impact scientific publications and present research findings at international conferences.
- Contribute to the development of intellectual property through patent applications.
- Stay abreast of the latest advancements and trends in biomedical engineering and related fields.
- Mentor junior researchers and research assistants.
- Manage research projects, ensuring adherence to timelines, budgets, and ethical guidelines.
- Maintain detailed laboratory notebooks and research records.
Qualifications:
- Ph.D. in Biomedical Engineering, Electrical Engineering, Mechanical Engineering, or a related scientific field with a strong focus on biomedical applications.
- Minimum of 5 years of post-doctoral or industrial research experience.
- Demonstrated expertise in experimental design, data analysis, and scientific writing.
- Proven track record of publications in peer-reviewed journals and conference presentations.
- Experience with relevant research techniques and equipment specific to the field (e.g., microscopy, cell culture, spectroscopy, signal processing, device prototyping).
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong ability to work independently and collaboratively in a remote research environment.
- Excellent communication and interpersonal skills.
- Proficiency in data analysis software (e.g., MATLAB, R, Python).
- Grant writing experience is a plus.
This is a premier opportunity to contribute to significant advancements in healthcare technology and scientific discovery. You will be part of a dynamic, globally distributed research team focused on impactful innovation. This role is entirely remote, supporting research initiatives that may intersect with healthcare advancements relevant to populations near Embu, Embu, KE , but does not require your physical location there.
Senior Research Scientist, Biomolecular Engineering
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and execute innovative research projects in biomolecular engineering.
- Conduct experiments using advanced molecular biology, biochemistry, and biophysics techniques.
- Analyze and interpret complex experimental data using statistical and computational tools.
- Develop and validate novel assays and methodologies.
- Contribute to the writing of scientific manuscripts for publication in high-impact journals.
- Prepare and present research findings at international conferences and scientific meetings.
- Collaborate with interdisciplinary teams to advance research goals.
- Seek and apply for external research funding opportunities.
- Supervise and mentor junior researchers and laboratory staff (virtually).
- Ensure compliance with all laboratory safety protocols and ethical guidelines.
- Stay abreast of the latest scientific literature and technological advancements in biomolecular engineering.
- Contribute to the strategic direction of research programs.
Qualifications:
- Ph.D. in Biomolecular Engineering, Biochemistry, Molecular Biology, Bioengineering, or a closely related field.
- Minimum of 5 years of post-doctoral research experience in a relevant area.
- Extensive experience with experimental design, data analysis, and interpretation.
- Demonstrated expertise in techniques such as gene editing, protein engineering, advanced microscopy, or computational biology.
- Proven record of publications in peer-reviewed scientific journals.
- Strong understanding of grant writing and funding acquisition processes.
- Excellent written and verbal communication skills, with the ability to present complex scientific information clearly.
- Demonstrated ability to work independently, manage multiple projects, and collaborate effectively in a remote research environment.
- Strong problem-solving skills and a rigorous scientific approach.
This is an unparalleled opportunity for a dedicated scientist to push the boundaries of biomolecular engineering. If you are passionate about scientific discovery and thrive in a collaborative, remote research setting, we encourage you to apply. While the role is remote, the institution supports research initiatives impacting communities near **Garissa, Garissa, KE**.
Senior Research Scientist - Biomedical Engineering - Remote
Posted 13 days ago
Job Viewed
Job Description
Responsibilities:
- Design, conduct, and analyze complex research experiments in biomedical engineering.
- Develop and optimize novel medical devices, diagnostic tools, or therapeutic technologies.
- Interpret experimental results and generate high-quality scientific reports and publications.
- Contribute to the development of research strategies and roadmaps.
- Troubleshoot technical issues encountered during research and development.
- Collaborate with cross-functional teams including engineers, clinicians, and regulatory affairs specialists.
- Maintain detailed laboratory notebooks and documentation of research activities.
- Stay current with the latest advancements in biomedical engineering and related fields.
- Contribute to patent applications and intellectual property development.
- Present research findings at scientific conferences and internal meetings.
- Ph.D. in Biomedical Engineering, Electrical Engineering, Mechanical Engineering, or a closely related scientific field.
- Minimum of 5 years of post-doctoral or industry research experience.
- Proven track record of successful research project leadership and execution.
- Extensive experience with experimental design, data analysis, and statistical methods.
- Expertise in areas such as biomaterials, biomechanics, medical imaging, biosensors, or computational biology.
- Proficiency with relevant scientific software and simulation tools.
- Excellent written and verbal communication skills, with a strong publication record.
- Ability to work independently, manage priorities, and drive projects forward in a remote setting.
- Strong collaboration and teamwork skills.
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Remote Mineral Exploration Data Analyst
Posted 20 days ago
Job Viewed
Job Description
Key Responsibilities:
- 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.
Lead Remote Data Scientist - Mineral Exploration
Posted today
Job Viewed
Job Description
- 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.
Lead Remote Sensing Data Analyst - Mining
Posted 20 days ago
Job Viewed
Job Description
Primary Responsibilities:
- Acquire, process, and analyze various types of remote sensing data, including satellite imagery (optical and radar), aerial photography, and LiDAR, for mineral exploration targets.
- Develop and implement advanced algorithms and workflows for feature extraction, anomaly detection, and geological mapping using remote sensing data.
- Integrate remote sensing data with other geological datasets, such as geophysical surveys, geochemical data, and drilling information, to create comprehensive 3D models.
- Validate and interpret remote sensing-derived geological information, collaborating with geologists and geophysicists to refine exploration models.
- Manage and maintain a robust database of remote sensing data and associated metadata.
- Develop and present detailed reports and visualizations of analytical findings to project teams and management.
- Stay current with the latest advancements in remote sensing technologies, image processing techniques, and GIS software.
- Provide technical guidance and mentorship to junior analysts within the remote team.
- Ensure data quality, consistency, and adherence to best practices in data management and analysis.
- Contribute to the strategic planning of exploration programs by identifying key areas for investigation based on remote sensing analysis.
- Master's degree in Remote Sensing, Geoinformatics, Geology, Geography, or a related field.
- A minimum of 8 years of hands-on experience in processing and interpreting remote sensing data for geological applications, preferably within the mining industry.
- Proficiency in industry-standard remote sensing software (e.g., ERDAS IMAGINE, ENVI, ArcGIS Pro, QGIS) and programming languages (e.g., Python, R) for data analysis.
- Solid understanding of photogrammetry, digital image processing, spectral analysis, and classification techniques.
- Experience with various satellite platforms (e.g., Sentinel, Landsat, Planet) and their data products.
- Proven ability to manage large geospatial datasets and develop efficient data processing pipelines.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a remote, collaborative team environment.
- Familiarity with geological concepts and mineral exploration workflows is a plus. The ideal candidate will be a self-starter, capable of independent work and proactive in identifying new opportunities for leveraging remote sensing data in exploration.