276 Data Science Positions jobs in Kenya
Advanced Apprenticeship - Data Science
Posted 1 day ago
Job Viewed
Job Description
Program Highlights:
- Comprehensive training in data science fundamentals, including Python, SQL, machine learning algorithms, and data visualization tools.
- Hands-on project experience, working on real business problems under the guidance of senior data scientists.
- Mentorship from experienced professionals in the field.
- Exposure to various data science domains and applications.
- Development of critical thinking, problem-solving, and communication skills.
- Opportunity to contribute to innovative projects and make a tangible impact.
- Remote work environment, allowing for flexible learning and participation.
- Potential for full-time employment upon successful completion of the apprenticeship.
- Recent graduate with a degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
- Strong analytical and logical reasoning abilities.
- Basic understanding of programming concepts, particularly Python.
- Familiarity with statistical concepts and their applications.
- High level of motivation, curiosity, and a passion for learning.
- Excellent communication and interpersonal skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to embrace new technologies and methodologies.
Graduate Trainee - Data Science
Posted 1 day ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Support the development and implementation of data analysis and modeling techniques.
- Learn and apply statistical methods and machine learning algorithms under supervision.
- Create data visualizations and dashboards to communicate findings effectively.
- Collaborate with senior data scientists on ongoing projects.
- Participate in team meetings and contribute to project discussions.
- Conduct research on new data science methodologies and tools.
- Help in documenting data science processes and findings.
- Gain exposure to different business problems and how data science can provide solutions.
- Develop a strong understanding of the data science lifecycle.
- 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 statistics, mathematics, and programming concepts.
- Familiarity with programming languages like Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Excellent analytical and problem-solving skills.
- Strong desire to learn and grow in the field of data science.
- Good communication and teamwork abilities.
- Ability to work independently and manage tasks effectively in a remote setting.
- Enthusiastic and proactive attitude towards learning new technologies.
- Exposure to SQL and database concepts is a plus.
- Internship or project experience in data analysis or programming is a plus.
Graduate Trainee - Data Science
Posted 1 day ago
Job Viewed
Job Description
- Assist in data collection, cleaning, and pre-processing from various sources.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Contribute to feature engineering and selection for predictive models.
- Support the development and testing of machine learning models.
- Learn and apply statistical methods and algorithms.
- Assist in creating data visualizations and dashboards to communicate findings.
- Document data processes, methodologies, and results.
- Collaborate with senior data scientists and cross-functional teams.
- Participate in training sessions and workshops to enhance technical skills.
- Stay curious and explore new tools and techniques in the field of data science.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and mathematical principles.
- Familiarity with programming languages commonly used in data science, such as Python or R.
- Basic knowledge of machine learning concepts and algorithms is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and data accuracy.
- Good written and verbal communication skills.
- Eagerness to learn and a proactive approach to skill development.
- Ability to work effectively in a remote team environment.
Graduate Trainee - Data Science
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Assist in data collection, cleaning, and transformation.
- Support the development and implementation of machine learning models.
- Perform statistical analysis and interpret data findings.
- Contribute to data visualization and reporting.
- Collaborate with senior data scientists on various projects.
- Research and apply new data science techniques and tools.
- Assist in the documentation of data processes and models.
- Participate in team meetings and contribute to project discussions.
- Learn and apply best practices in data science and ethical data handling.
- Prepare presentations of analytical results.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in Python or R is highly desirable.
- Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and teamwork abilities.
- Eagerness to learn and adapt to new technologies.
- Ability to work independently and manage tasks effectively in a remote environment.
- A portfolio of data science projects is a plus.
- High level of integrity and attention to detail.
Junior Data Science Trainee
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
- Support the development and implementation of machine learning models under supervision.
- Create data visualizations and reports to communicate findings effectively.
- Collaborate with team members on data-related projects and tasks.
- Learn and apply various data science techniques and tools.
- Participate in team meetings and contribute to discussions on data strategy and insights.
- Help in documenting data processes and methodologies.
- Gain exposure to different aspects of the data science lifecycle.
- Contribute to ad-hoc data analysis requests as needed.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong foundational knowledge of statistics and mathematics.
- Familiarity with programming languages commonly used in data science, such as Python or R.
- Basic understanding of data manipulation libraries (e.g., Pandas, NumPy).
- Enthusiasm for data science and machine learning.
- Excellent problem-solving skills and attention to detail.
- Good communication and collaboration skills, suitable for remote teamwork.
- Eagerness to learn and adapt to new technologies and methodologies.
- Prior experience with SQL is a plus.
- Must have a reliable internet connection and a suitable remote work environment.
Graduate Trainee - Data Science
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform exploratory data analysis to identify patterns and trends.
- Support the development and implementation of machine learning models.
- Contribute to feature engineering and selection processes.
- Assist in evaluating model performance and identifying areas for improvement.
- Collaborate with senior data scientists on ongoing projects.
- Learn and apply various data science tools and programming languages (e.g., Python, R, SQL).
- Help in creating data visualizations and reports to communicate findings.
- Participate in team meetings and contribute to discussions.
- Adhere to data privacy and security protocols.
- 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 (e.g., Python, R).
- Familiarity with SQL for data querying.
- Excellent analytical and problem-solving skills.
- Strong interest in data analysis and predictive modeling.
- Good communication and interpersonal skills.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and adapt to new technologies.
- Team player with a positive attitude.
Advanced Apprentice - Data Science
Posted 2 days ago
Job Viewed
Job Description
Be The First To Know
About the latest Data science positions Jobs in Kenya !
Data Science Graduate Intern
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Develop and implement statistical models and machine learning algorithms under supervision.
- Perform exploratory data analysis (EDA) to uncover insights and trends.
- Create data visualizations to communicate findings effectively to both technical and non-technical audiences.
- Collaborate with senior data scientists on ongoing research and development projects.
- Document code, methodologies, and findings thoroughly.
- Participate in team meetings and contribute to problem-solving discussions.
- Learn and apply new data science techniques and tools as required.
- Support the deployment and monitoring of machine learning models.
- Contribute to the development of reports and presentations based on data analysis.
- Currently pursuing or recently completed 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 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).
- Excellent analytical and problem-solving skills.
- Good communication and collaboration abilities, suitable for a remote work environment.
- Enthusiasm for learning and a proactive attitude.
- Ability to work independently and manage tasks effectively.
- Prior experience with data visualization tools is a plus.
Graduate Data Science Trainee
Posted 3 days ago
Job Viewed