2,730 Junior Data Scientist Graduate Program jobs in Kenya
AI Research Scientist (Graduate Program)
Posted 18 days ago
Job Viewed
Job Description
The role requires a strong foundation in computer science, mathematics, and statistics, coupled with a deep curiosity for AI. You will be expected to conduct literature reviews, design and execute experiments, and present your findings to the research team. Collaboration is key, and you will work closely with mentors and peers through virtual communication tools. We are looking for motivated individuals who are proactive, detail-oriented, and possess excellent problem-solving skills. The ability to work independently and manage your time effectively in a remote environment is crucial. This internship provides a supportive and intellectually stimulating atmosphere, encouraging exploration and innovation. Successful completion of this internship may lead to future full-time opportunities within our organization. We are committed to fostering a diverse and inclusive research community, and we encourage applications from all backgrounds.
Qualifications:
- Currently pursuing a Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Strong theoretical understanding of machine learning algorithms, data structures, and algorithms.
- Proficiency in programming languages commonly used in AI research, such as Python.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with data analysis and experimental design.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills for remote collaboration and reporting.
- Ability to work independently and manage tasks effectively in a remote setting.
- A genuine passion for AI research and a desire to contribute to groundbreaking advancements.
- Prior research experience or publications are a plus.
Remote AI Research Scientist (Graduate Program)
Posted 14 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct research in areas of artificial intelligence, including machine learning, deep learning, and related fields.
- Develop and implement novel algorithms and models to solve complex problems.
- Analyze and interpret large datasets to extract meaningful insights.
- Design and execute experiments to validate research hypotheses.
- Collaborate with senior researchers and engineers on various AI projects.
- Contribute to the development of AI-powered applications and solutions.
- Document research findings and prepare reports and presentations.
- Stay updated with the latest advancements and trends in AI research.
- Participate in team meetings and discussions, contributing ideas and insights.
- Potentially contribute to academic publications and conference presentations.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a closely related quantitative field.
- Strong understanding of machine learning and deep learning principles.
- Proficiency in programming languages such as Python.
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Excellent analytical and problem-solving skills.
- Strong mathematical and statistical background.
- Ability to work independently and collaboratively in a remote team environment.
- Excellent written and verbal communication skills.
- A genuine passion for AI research and a desire to learn and grow.
- Previous research experience or personal projects in AI are a plus.
AI/ML Research Scientist - Graduate Program
Posted 20 days ago
Job Viewed
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**.
Junior Data Scientist - Remote Analytics Graduate Program
Posted 14 days ago
Job Viewed
Job Description
Data Scientist - Graduate Program
Posted 14 days ago
Job Viewed
Job Description
Junior Data Scientist - Graduate Program
Posted 24 days ago
Job Viewed
Job Description
Program Highlights:
- Gain practical experience in data cleaning, preprocessing, and feature engineering.
- Develop and implement machine learning models for predictive analytics and classification tasks.
- Conduct exploratory data analysis to uncover insights and trends.
- Visualize data and communicate findings effectively to technical and non-technical audiences.
- Learn and apply statistical methods and experimental design.
- Work with various data sources and databases.
- Participate in team projects, collaborating with other interns and senior data scientists.
- Receive dedicated mentorship and ongoing training throughout the program.
- Exposure to diverse industries and business problems.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong foundation in statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Basic understanding of SQL and database concepts.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities.
- Eagerness to learn and adapt in a fast-paced, remote environment.
- Demonstrated interest in data science through personal projects, coursework, or internships.
This is a fully remote internship, providing a flexible and accessible learning experience. Our client is committed to nurturing talent and offering a supportive virtual environment for professional growth and development. This program is an ideal stepping stone for aspiring data scientists.
Remote Data Scientist - Graduate Program
Posted 17 days ago
Job Viewed
Job Description
Be The First To Know
About the latest Junior data scientist graduate program Jobs in Kenya !
Remote Junior Data Scientist - Graduate Program
Posted 21 days ago
Job Viewed
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.
Junior Data Scientist - Graduate Program - Remote
Posted 24 days ago
Job Viewed
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.
Graduate Data Scientist Program Lead
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Design and develop a comprehensive curriculum for the Graduate Data Scientist Program, covering core concepts and advanced techniques in data science.
- Source, select, and onboard high-potential graduate interns.
- Assign interns to meaningful data science projects aligned with business needs.
- Provide mentorship, guidance, and technical support to interns throughout the program.
- Develop and implement performance evaluation metrics and provide regular feedback to interns.
- Facilitate workshops, training sessions, and knowledge-sharing activities.
- Collaborate with senior data scientists and project managers to define project scopes and deliverables.
- Foster a collaborative and inclusive learning environment.
- Track program progress and report on key metrics to stakeholders.
- Identify opportunities for program improvement and innovation.
- Ensure the program adheres to company policies and best practices.
- Build relationships with universities and academic institutions to source talent.
- Organize and facilitate networking opportunities for interns.
- Manage the program budget and resources effectively.
- Prepare interns for potential full-time roles within the organization.
Qualifications:
- Master's degree or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- 5+ years of experience in data science, with a proven track record of success in applying data science techniques to real-world problems.
- Demonstrated experience in mentoring, training, or leading junior data scientists or interns.
- Strong understanding of statistical modeling, machine learning algorithms, and data visualization techniques.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Experience with data science tools and platforms (e.g., Jupyter Notebooks, SQL, cloud ML platforms).
- Excellent communication, presentation, and interpersonal skills.
- Ability to develop engaging training materials and deliver effective instruction.
- Strong organizational and project management skills.
- A passion for fostering talent and promoting data literacy.
- Experience in curriculum development or program management is a significant plus.
- Comfortable working in a fully remote environment and managing distributed teams.
- Familiarity with the job market for data scientists.