351 Python jobs in Kenya
Graduate Trainee - Data Science
Posted today
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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 1 day ago
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Data Science Graduate Intern
Posted 1 day ago
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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 2 days ago
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Graduate Trainee - Data Science
Posted 5 days ago
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Program Overview:
- Receive comprehensive training in data science methodologies, tools, and techniques.
- Work on real-world data projects under the guidance of senior data scientists.
- Learn to clean, process, and transform complex datasets using various programming languages (e.g., Python, R).
- Develop and implement machine learning models for tasks such as prediction, classification, and clustering.
- Perform statistical analysis to uncover patterns and trends in data.
- Create data visualizations and dashboards to communicate findings effectively.
- Collaborate with business stakeholders to understand data requirements and deliver insights.
- Participate in code reviews and learn best practices for data science workflows.
- Stay updated on the latest advancements in AI, machine learning, and data analytics.
- Contribute to the development of data-driven strategies.
- Gain experience with cloud platforms (e.g., AWS, Azure, GCP) for data science tasks.
- Develop strong problem-solving and critical thinking skills.
- Present findings and recommendations to team members and management.
- Engage in continuous learning and professional development.
- This is an internship position with the potential for full-time employment.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills, comfortable presenting findings.
- Ability to work independently and collaboratively in a remote team environment.
- A keen interest in data and a passion for uncovering insights.
- Proactive attitude and a desire to learn and grow in the field of data science.
- Reliable internet connection and a dedicated remote workspace.
Graduate Research Fellow - Data Science
Posted 1 day ago
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Remote Graduate Trainee - Data Science
Posted 1 day ago
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Trainee Responsibilities:
- Assist in collecting, cleaning, and preprocessing data from various sources.
- Support the development and implementation of data models and machine learning algorithms.
- Conduct exploratory data analysis (EDA) to identify trends and insights.
- Help in feature engineering and selection for predictive models.
- Perform basic statistical analysis and hypothesis testing.
- Contribute to the documentation of data science processes and findings.
- Learn and utilize various data science tools and programming languages (e.g., Python, R, SQL).
- Participate in team meetings and contribute to project discussions.
- Support the visualization of data and model results.
- Follow guidance from mentors and senior data scientists to achieve project objectives.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and principles.
- Familiarity with programming languages commonly used in data science, such as Python or R.
- Basic knowledge of machine learning algorithms and concepts.
- Excellent analytical and problem-solving abilities.
- Strong attention to detail and commitment to data accuracy.
- Good written and verbal communication skills.
- Ability to learn quickly and adapt to new technologies and challenges.
- Self-motivated and able to work independently in a remote setting.
- Previous academic projects or internships in data analysis are a plus.
- Must be legally eligible to work in Kenya.
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Graduate Research Assistant (Data Science)
Posted 1 day ago
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Remote Graduate Data Science Trainee
Posted 3 days ago
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During your traineeship, you will:
- Receive intensive training in various data science concepts, tools, and techniques.
- Learn to collect, clean, and preprocess large datasets from various sources.
- Assist in developing and implementing machine learning models for predictive analysis, classification, and clustering.
- Utilize programming languages such as Python or R for data manipulation, analysis, and visualization.
- Learn to use data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively.
- Participate in data exploration and feature engineering activities.
- Collaborate with senior data scientists on real-world projects, contributing to data-driven decision-making.
- Develop an understanding of statistical modeling and hypothesis testing.
- Engage in continuous learning and professional development in the field of data science.
- Contribute to the documentation of data processes, methodologies, and results.
- Participate in team meetings and present findings to colleagues.
- Gain exposure to cloud platforms and big data technologies.
Ideal Candidate Profile:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong foundation in statistical concepts and analytical thinking.
- Familiarity with programming languages commonly used in data science, such as Python or R.
- Basic understanding of machine learning algorithms and concepts.
- Excellent problem-solving skills and a keen attention to detail.
- Strong desire to learn and grow in the field of data science.
- Good communication and collaboration skills, essential for a remote team environment.
- Ability to work independently and manage tasks effectively.
- Enthusiasm for working with data and uncovering insights.
- Previous internship or project experience in data analysis is a plus.