2,678 Junior Data Scientist Graduate Program Remote jobs in Kenya
Junior Data Scientist - Graduate Program - Remote
Posted 22 days ago
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Job Description
Program Highlights:
- 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.
Qualifications:
- 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.
Junior Data Scientist - Remote Analytics Graduate Program
Posted 12 days ago
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Junior Data Scientist - Remote Graduate Program
Posted 6 days ago
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Job Description
- Assisting in the collection, cleaning, and pre-processing of large datasets.
- Applying statistical methods and machine learning algorithms to analyze data.
- Developing data visualizations to communicate findings effectively.
- Collaborating with senior data scientists and engineers on various projects.
- Participating in code reviews and contributing to the development of data pipelines.
- Researching and staying updated on the latest trends and technologies in data science.
- Documenting methodologies and results clearly and concisely.
- Presenting findings and insights to team members and stakeholders.
Remote Data Scientist - Graduate Program
Posted 15 days ago
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Remote Junior Data Scientist - Graduate Program
Posted 19 days ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Develop and implement statistical models and machine learning algorithms.
- Visualize data and present findings to the team in a clear and concise manner.
- Collaborate with senior data scientists on research and project tasks.
- Assist in the evaluation and validation of models.
- Contribute to the documentation of data pipelines and analytical processes.
- Learn and apply new data science techniques and tools.
- Support ad-hoc data analysis requests from various departments.
- Participate actively in team meetings and learning sessions.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong foundation in statistical concepts and quantitative analysis.
- 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) and machine learning libraries (e.g., Scikit-learn).
- Basic understanding of machine learning algorithms and data modeling techniques.
- Excellent problem-solving and critical thinking skills.
- Strong communication and collaboration skills.
- Eagerness to learn and adapt to new technologies.
- Ability to work independently and manage time effectively in a remote setting.
- Previous internship or project experience in data analysis is a plus.
Remote Graduate Data Scientist Program
Posted 15 days ago
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Job Description
As a participant in this remote program, you will learn to collect, clean, and preprocess large datasets from diverse sources. You will apply statistical methods and machine learning techniques to identify patterns, build predictive models, and derive actionable insights. Your projects will involve developing algorithms, performing A/B testing, and creating visualizations to communicate complex findings effectively to both technical and non-technical audiences. You will be mentored by experienced data scientists who will guide you through the complexities of data analysis and model deployment.
The ideal candidate is a recent graduate with a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. You should possess a genuine passion for data, a curious mindset, and a strong desire to learn. While prior professional experience is not required, familiarity with programming languages like Python or R, and database querying (SQL) would be advantageous. This role requires excellent problem-solving abilities, strong communication skills, and the self-discipline to thrive in a fully remote, self-directed learning environment. You will need to demonstrate initiative, a collaborative spirit, and a keen eye for detail.
Qualifications:
- 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.
AI/ML Research Scientist - Graduate Program
Posted 18 days ago
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Job Description
As an intern, your responsibilities will include:
- Assisting senior researchers in designing, developing, and implementing novel AI/ML algorithms and models.
- Collecting, cleaning, and preprocessing large datasets for training and evaluation purposes.
- Conducting experiments, analyzing results, and documenting findings rigorously.
- Collaborating with team members on research projects and contributing to academic publications or internal technical reports.
- Implementing and optimizing machine learning models for performance and scalability.
- Staying current with the latest advancements in AI/ML literature and contributing to internal knowledge sharing.
- Developing prototypes and proof-of-concept applications based on research outcomes.
- Participating in team meetings, brainstorming sessions, and research presentations.
- Learning and utilizing various programming languages, libraries, and frameworks relevant to AI/ML, such as Python, TensorFlow, PyTorch, and scikit-learn.
We are looking for candidates with a strong academic background in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. Demonstrated passion for AI/ML through academic projects, personal projects, or internships is highly valued. Familiarity with fundamental AI/ML concepts, algorithms, and mathematical foundations is essential. Excellent programming skills in Python are a must. Strong analytical and problem-solving abilities, combined with a keen attention to detail, are crucial. As this is a fully remote role, you must possess excellent communication and collaboration skills, and the ability to work effectively in a virtual team environment. This internship provides a unique pathway for graduates interested in pursuing a career in AI/ML research and development, with potential for future full-time employment. Embrace this chance to kickstart your career from anywhere, while being associated with groundbreaking work originating from **Eldoret, Uasin Gishu, KE**.
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Graduate Data Analyst - AI & Machine Learning
Posted 1 day ago
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Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets.
- Perform exploratory data analysis (EDA) to identify patterns and trends.
- Develop and train machine learning models under guidance.
- Evaluate model performance and provide insights for improvement.
- Assist in feature engineering and selection for predictive models.
- Collaborate with senior data scientists on various AI/ML projects.
- Document methodologies, findings, and results of analyses.
- Learn and apply new data science and machine learning techniques.
- Participate in team meetings and contribute to discussions.
- Support in the visualization of data and model outcomes.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (recent graduates welcome).
- Solid understanding of statistical concepts and their application.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with machine learning concepts and libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Eagerness to learn and adapt to new technologies.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for AI and machine learning.
- A proactive and curious mindset.
Remote Graduate Data Analyst - AI & Machine Learning Focus
Posted 6 days ago
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Job Description
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of diverse datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and implement basic machine learning models under the guidance of senior team members.
- Visualize data and model results using tools such as Python libraries (Matplotlib, Seaborn) or Tableau.
- Collaborate with data scientists and engineers on feature engineering and model selection.
- Document methodologies, findings, and code for reproducibility and knowledge sharing.
- Participate in regular team meetings and contribute to project discussions.
- Learn and apply new data analysis techniques and tools relevant to AI/ML.
- Assist in the testing and validation of AI/ML models.
- Contribute to the overall data strategy and innovation efforts.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
- Foundational understanding of statistical concepts and data analysis techniques.
- Basic programming skills in Python or R, including experience with relevant data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Familiarity with machine learning concepts and algorithms is highly desirable.
- Exposure to data visualization tools.
- Strong analytical and problem-solving abilities.
- Excellent communication and teamwork skills, essential for remote collaboration.
- Proactive attitude and eagerness to learn and take on new challenges.
- Self-motivated and able to manage tasks effectively in a remote environment.
- A genuine interest in AI and Machine Learning.
This paid internship offers invaluable experience in a rapidly growing field, providing mentorship and real project involvement. The role is fully remote, supporting our strategic interests in the Meru, Meru, KE region.
AI/ML Solutions Architect - Graduate Program
Posted 22 days ago
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Job Description
Key Responsibilities:
- Assist in the design and architecture of scalable AI/ML solutions on cloud platforms (e.g., AWS, Azure, GCP).
- Support the development and implementation of machine learning models, including data preprocessing, feature engineering, and model training.
- Gain hands-on experience with MLOps pipelines for model deployment, monitoring, and management.
- Collaborate with data scientists and engineers to integrate AI/ML components into broader software systems.
- Participate in code reviews and contribute to the development of robust and efficient AI/ML codebases.
- Learn and apply best practices in software engineering, data management, and ethical AI.
- Research and evaluate new AI/ML technologies, tools, and methodologies.
- Assist in creating technical documentation, diagrams, and presentations for project stakeholders.
- Engage in learning modules and training sessions to enhance technical skills.
- Contribute to brainstorming sessions and problem-solving discussions within the team.
Qualifications:
- Recent graduate (within the last 1-2 years) with a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
- Strong foundation in programming, particularly Python.
- Understanding of core machine learning concepts and algorithms.
- Familiarity with cloud computing concepts and platforms is a plus.
- Excellent analytical, problem-solving, and logical thinking skills.
- Eagerness to learn and adapt to new technologies.
- Strong communication and teamwork skills.
- Ability to work independently and proactively in a remote environment.
- Passion for artificial intelligence and its applications.