2,518 Graduate Data Scientist Predictive Analytics jobs in Kenya

• 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.

• 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.

About the Role:

Help shape the future of AI We're seeking detail-oriented freelancers to join a global AI data annotation project. As an AI Data Annotation Specialist, you'll annotate, label, and curate data that powers advanced machine learning models. Your work—tagging images, labeling text, or collecting documents—will directly impact the accuracy and performance of AI systems used worldwide.

Key Responsibilities:

• Annotate & Label: Tag, categorize, and review text, images, and documents.
• Collect Data: Gather and organize high-quality datasets for AI training.
• Ensure Quality: Review and validate data for precision and consistency.
• Collaborate Globally: Work with an international team to hit project milestones.

Basic Requirements:

• Strong attention to detail and ability to follow precise instructions.
• Reliable internet connection and ability to work independently.
• Prior experience in data annotation or labeling is a plus but not required.
• Basic understanding of AI or machine learning concepts is advantageous.
• Strong proficiency in English for clear communication and reporting.

• Assist in collecting, cleaning, and transforming large datasets from various sources.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
• Support the development and testing of machine learning models and algorithms under supervision.
• Create compelling data visualizations and dashboards to communicate findings to stakeholders.
• Contribute to the documentation of data processes, methodologies, and code.
• Collaborate with senior data scientists and analysts on ongoing projects.
• Learn and apply statistical concepts and data mining techniques.
• Participate in team meetings and contribute ideas for data-driven solutions.
• Assist in preparing reports and presentations summarizing analytical results.
• Develop proficiency in data analysis tools and programming languages relevant to data science.

• 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 analytical techniques.
• Basic knowledge of programming languages commonly used in data science (e.g., Python, R).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and ability to work with large datasets.
• Good communication and interpersonal skills, with the ability to work effectively in a remote team.
• Eagerness to learn and a proactive attitude.
• Ability to manage tasks and time effectively.
• Passion for data and uncovering insights.

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform basic data analysis and generate reports under the guidance of senior analysts.
• Develop and maintain data visualizations to help communicate insights effectively.
• Support the development of dashboards and reports using business intelligence tools.
• Conduct research on industry trends and competitive landscape to inform analytical projects.
• Collaborate with team members on ad-hoc data analysis requests.
• Learn and apply statistical methods and data modeling techniques.
• Participate in team meetings and contribute ideas for data-driven solutions.
• Assist in documenting data sources, methodologies, and findings.
• Gain exposure to programming languages commonly used in data analysis, such as Python or R.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Data Science, or a related discipline.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Exposure to programming languages like Python or R is highly desirable.
• Excellent written and verbal communication skills.
• Ability to work independently and manage tasks effectively in a remote setting.
• Eagerness to learn and a strong work ethic.
• Enthusiasm for data and analytics.

• Assist in collecting, cleaning, and preprocessing large datasets from various sources.
• Support the development and implementation of statistical models and machine learning algorithms.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Create visualizations and reports to communicate findings to both technical and non-technical audiences.
• Collaborate with team members on data analysis projects, contributing to problem-solving and insight generation.
• Learn and apply data analysis tools and programming languages such as Python or R.
• Document data processes, methodologies, and findings.
• Participate in team meetings and contribute ideas for data-driven solutions.
• Gain practical experience in data wrangling, feature engineering, and model evaluation.
• Assist in A/B testing design and analysis.
• Contribute to the maintenance and improvement of data pipelines.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Solid understanding of statistical concepts and basic machine learning principles.
• Familiarity with programming languages like Python or R for data analysis.
• Basic knowledge of SQL for database querying.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and data accuracy.
• Good communication and interpersonal skills, suitable for remote collaboration.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work independently and manage tasks effectively in a remote setting.
• Enthusiasm for data and its potential to drive business value.

We are looking for AI Data Specialist to support the improvement of AI-generated content in English.

Job Type:
Freelance

Location:
Remote in
Kenya
Work Schedule:
Part-time. Flexible, work whenever you want

Start Date:
Immediately

Duration:
Until the end of December 2025 (an extension is possible)

Rate:
8 USD/hour

Help Shape the Future of AI
Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today's AI models?

What You'll Do
The role involves performing diverse data-related tasks, including:

• Data collection, evaluation, and annotation
• Pairwise comparisons
• Counting tasks
• Object tagging and labeling across different content types (audio, video, images, or collected data)

Important:
The use of AI tools or Large Language Models (LLMs) to complete assigned tasks is strictly prohibited. Any use of such tools will be considered a violation of the project requirements, resulting in non-payment and immediate removal from the project.
What we're looking for:

• English Proficiency: Advanced proficiency in English at B2, C1, C2, or Native level
• AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling

What We Offer

• 100% remote work
• Flexible schedule
• Opportunity to earn extra income
• Timely payments
• The job is ideal for students, part-timers, or stay-at-home parents

Please apply using a GMAIL account if you have one.
RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.

• Design and implement data collection protocols for athlete performance, training load, and physiological data.
• Utilize statistical modeling and machine learning techniques to analyze performance data and identify trends.
• Develop predictive models for injury risk, performance outcomes, and strategic planning.
• Create visually compelling dashboards and reports to communicate key findings to coaches, athletes, and stakeholders.
• Collaborate closely with coaching staff to integrate performance insights into training programs and game strategies.
• Stay abreast of the latest research and technological advancements in sports science, performance analysis, and data analytics.
• Manage and maintain performance databases, ensuring data integrity and security.
• Mentor junior performance analysts and contribute to the team's overall technical expertise.
• Evaluate the effectiveness of different training methodologies and interventions through data analysis.
• Contribute to the development of innovative performance monitoring tools and techniques.

• Master's degree or Ph.D. in Sports Science, Biomechanics, Data Science, Statistics, or a related quantitative field.
• Minimum of 7 years of experience in sports performance analysis, with a proven track record in elite sports environments.
• Expertise in statistical analysis software (e.g., R, Python with libraries like Pandas, NumPy, SciPy) and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of biomechanics, exercise physiology, and sports-specific training principles.
• Experience with wearable technology and motion capture systems is highly desirable.
• Excellent analytical, critical thinking, and problem-solving skills.
• Exceptional communication and presentation skills, with the ability to translate complex data into actionable insights for non-technical audiences.
• Demonstrated ability to lead projects and collaborate effectively within a remote team setting.
• Experience working with diverse sports disciplines is an advantage.

• Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Support the development and implementation of machine learning models under the guidance of senior team members.
• Conduct literature reviews on relevant machine learning techniques and algorithms.
• Assist in the evaluation and validation of model performance.
• Develop data visualizations and reports to communicate findings to the team.
• Collaborate with team members on data-related tasks and projects.
• Learn and apply statistical methods and machine learning algorithms.
• Participate in team meetings and contribute to discussions on project progress and strategy.
• Gain practical experience with programming languages like Python and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Strong foundation in statistical concepts and data analysis principles.
• Basic understanding of machine learning concepts and algorithms.
• Proficiency in at least one programming language, preferably Python.
• Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Good communication and interpersonal skills, with the ability to work effectively in a remote team environment.
• Eagerness to learn and adapt to new technologies and methodologies.
• A genuine interest in data science, machine learning, and artificial intelligence.