2,479 Graduate Data Scientist Machine Learning jobs in Kenya
Graduate Data Scientist - AI Research
Posted 2 days ago
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Graduate Data Scientist (AI & Machine Learning Focus)
Posted 19 days ago
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Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets.
- Perform exploratory data analysis to identify patterns and insights.
- Support the development, training, and testing of machine learning models.
- Implement and deploy models under the guidance of senior data scientists.
- Contribute to data visualization and reporting efforts.
- Participate in code reviews and contribute to best practices.
- Collaborate with team members in a remote setting through virtual meetings and communication tools.
- Research and evaluate new machine learning techniques and technologies.
- Assist in documenting data pipelines, models, and findings.
- Present project progress and results to the team.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
- Strong programming skills in Python or R.
- Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Basic understanding of machine learning algorithms and concepts.
- Knowledge of AI and ML frameworks (TensorFlow, PyTorch) is a plus.
- Excellent analytical and problem-solving skills.
- Good communication and teamwork abilities.
- Ability to work independently and manage tasks effectively in a remote environment.
- Eagerness to learn and adapt to new technologies.
Graduate Data Scientist - AI/ML
Posted 22 days ago
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Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets for AI/ML model training.
- Support the development, training, and evaluation of machine learning models under the guidance of senior team members.
- Conduct exploratory data analysis to identify patterns and insights.
- Implement and test algorithms and data structures.
- Help in visualizing data and model results for presentation.
- Learn and apply various data science techniques and tools.
- Participate in team meetings and contribute ideas for project improvements.
- Document code, methodologies, and findings clearly.
- Collaborate with other interns and team members in a remote setting.
- Gain exposure to different AI applications and industry challenges.
Qualifications:
- Recent graduate (within the last year) with a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Solid understanding of fundamental machine learning concepts and algorithms.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- A portfolio of personal projects or relevant coursework demonstrating practical skills is a plus.
Graduate Data Scientist - AI/ML Focus
Posted 22 days ago
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Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets.
- Develop, train, and evaluate machine learning models under the guidance of senior team members.
- Implement algorithms for data analysis, pattern recognition, and predictive modeling.
- Create data visualizations to communicate insights and findings.
- Collaborate with team members on coding, testing, and debugging AI/ML solutions.
- Conduct research on new AI/ML techniques and tools.
- Participate in team meetings and contribute to project discussions.
- Document code, methodologies, and results effectively.
- Learn and apply best practices in data science and software development.
- Gain hands-on experience with cloud platforms and big data technologies.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong understanding of fundamental machine learning concepts and algorithms.
- Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) and SQL.
- Familiarity with data visualization tools is a plus.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote environment.
- A keen interest in AI and Machine Learning.
- Eagerness to learn and adapt to new technologies.
- Enthusiasm for contributing to impactful projects.
Graduate Data Scientist - AI/ML Specialization (Remote)
Posted 19 days ago
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Graduate Research Scientist - AI in Biotechnology
Posted 22 days ago
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Remote Graduate Research Fellow - AI Ethics
Posted 22 days ago
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Graduate Research Scientist - AI & Machine Learning
Posted 22 days ago
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Graduate Research Associate - AI/ML
Posted 22 days ago
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- Assisting in the collection, cleaning, and preprocessing of large datasets for AI/ML model training.
- Implementing and testing AI/ML algorithms under the guidance of senior researchers.
- Contributing to the development of experimental frameworks and methodologies.
- Conducting literature reviews to identify relevant research and technologies.
- Documenting research findings, methodologies, and results accurately.
- Collaborating with team members on shared research objectives.
- Learning and applying new AI/ML techniques and tools.
- Participating in team meetings and contributing to discussions.
- Supporting the deployment and evaluation of prototype AI systems.
Graduate Data Scientist - Machine Learning
Posted 20 days ago
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Intern Responsibilities:
- Assisting senior data scientists in collecting, cleaning, and preprocessing large datasets from various sources.
- Developing and implementing machine learning models for tasks such as prediction, classification, and clustering.
- Conducting exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Visualizing data and model results to communicate findings effectively to technical and non-technical audiences.
- Collaborating with engineering teams to integrate models into production systems.
- Contributing to the research and evaluation of new algorithms and techniques.
- Documenting code, methodologies, and project findings.
- Participating in team meetings and knowledge-sharing sessions.
- Learning and applying best practices in data science and software development.
- Seeking feedback and actively engaging in mentorship to enhance skills and understanding.
The ideal candidate will be a recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Strong foundational knowledge of statistics, probability, and algorithms is required. Proficiency in programming languages such as Python or R, along with experience using data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch), is essential. Excellent analytical and problem-solving skills are a must. The ability to work independently, manage time effectively, and communicate technical concepts clearly in a remote setting is crucial. Eagerness to learn, a proactive attitude, and a passion for uncovering insights from data will set you apart. This internship offers a unique chance to contribute to impactful projects and build a strong foundation for your data science career.