242 Predictive Modeling jobs in Kenya
Remote Junior Data Scientist - Predictive Modeling
00100 Abothuguchi West
KES60000 Annually
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Posted 3 days ago
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Job Description
Our client, a rapidly growing tech startup focused on AI-driven solutions, is looking for an enthusiastic and bright Remote Junior Data Scientist to join their innovative team. This internship, nominally based in Nairobi, Nairobi, KE , is a fully remote position designed for aspiring data scientists eager to gain hands-on experience in predictive modeling and machine learning. You will work alongside senior data scientists, contributing to real-world projects and learning cutting-edge techniques.
Key Responsibilities:
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Support the development and implementation of machine learning models for predictive analysis, classification, and clustering.
- Conduct exploratory data analysis to identify patterns, trends, and insights.
- Create data visualizations to communicate findings and model performance.
- Collaborate with senior data scientists on feature engineering and model selection.
- Participate in code reviews and contribute to the development of robust data science pipelines.
- Help in the evaluation and validation of model performance using appropriate metrics.
- Research and stay updated on the latest advancements in data science, machine learning, and AI.
- Document methodologies, code, and results clearly and comprehensively.
- Assist in preparing presentations and reports on project findings for internal teams.
- Learn and apply new tools and technologies within the data science ecosystem.
- Contribute to team discussions and brainstorming sessions for new project ideas.
- Ensure the ethical and responsible use of data throughout all projects.
- Gain practical experience in building end-to-end data science solutions under mentorship.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms.
- Familiarity with programming languages commonly used in data science, such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Basic understanding of data manipulation and database querying (e.g., SQL).
- Eagerness to learn and develop skills in data analysis, modeling, and visualization.
- Strong analytical and problem-solving abilities.
- Good communication skills, with the ability to articulate technical concepts.
- Ability to work independently, manage time effectively, and collaborate remotely.
- Proactive attitude and a genuine passion for data science and technology.
- Prior exposure to data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
This advertiser has chosen not to accept applicants from your region.
0
Graduate Remote Data Scientist - Predictive Modeling
01000 Witeithie
KES50000 month
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Posted 5 days ago
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Job Description
Our client is excited to offer a fully remote Graduate Data Scientist internship focused on Predictive Modeling. This is an exceptional opportunity for a recent graduate or soon-to-be graduate with a strong quantitative background and a passion for data science to gain hands-on experience in a dynamic, remote work environment. You will work closely with our experienced data science team, contributing to the development and refinement of predictive models that drive business insights and decision-making. Although the position is fully remote, your initial exposure might involve understanding data patterns relevant to regions like **Thika, Kiambu, KE**, and other areas where our client operates.
Your responsibilities will include data cleaning, feature engineering, building and validating statistical and machine learning models, and interpreting model results. You will collaborate on projects involving forecasting, customer segmentation, risk assessment, and other areas where predictive analytics can provide significant value. This internship requires a solid understanding of programming languages such as Python or R, and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). You will also gain exposure to data visualization tools to effectively communicate findings. The ideal candidate is a quick learner, detail-oriented, and possesses strong problem-solving skills. This remote role emphasizes self-motivation and the ability to manage your own workload effectively. You will have the opportunity to present your work to the team and contribute to real-world data science challenges. This internship is designed to provide a comprehensive learning experience, equipping you with valuable skills and practical knowledge in the field of data science and predictive analytics. We encourage candidates who are eager to apply their academic knowledge in a professional setting and contribute to innovative projects.
Qualifications:
Your responsibilities will include data cleaning, feature engineering, building and validating statistical and machine learning models, and interpreting model results. You will collaborate on projects involving forecasting, customer segmentation, risk assessment, and other areas where predictive analytics can provide significant value. This internship requires a solid understanding of programming languages such as Python or R, and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). You will also gain exposure to data visualization tools to effectively communicate findings. The ideal candidate is a quick learner, detail-oriented, and possesses strong problem-solving skills. This remote role emphasizes self-motivation and the ability to manage your own workload effectively. You will have the opportunity to present your work to the team and contribute to real-world data science challenges. This internship is designed to provide a comprehensive learning experience, equipping you with valuable skills and practical knowledge in the field of data science and predictive analytics. We encourage candidates who are eager to apply their academic knowledge in a professional setting and contribute to innovative projects.
Qualifications:
- Recent graduate or current student pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Strong programming skills in Python or R.
- Familiarity with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, Matplotlib).
- Knowledge of statistical modeling and machine learning techniques.
- Basic understanding of databases and SQL.
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills, essential for remote teamwork.
- Self-motivated with the ability to work independently and manage time effectively.
- A keen interest in learning and applying new data science methodologies.
This advertiser has chosen not to accept applicants from your region.
1
Data Science Graduate Trainee
01001 Mumbuni
KES50000 month
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Posted today
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Job Description
Our client, a forward-thinking analytics firm, is offering an exciting opportunity for ambitious and talented recent graduates to join their Data Science Graduate Trainee program. This is a fully remote, immersive experience designed to launch your career in the rapidly evolving field of data science. As a trainee, you will be an integral part of our data science team, working on real-world projects that drive business insights and innovation. You will have the chance to learn from experienced data scientists, mentors, and industry professionals, gaining hands-on experience with a wide range of analytical techniques and tools.
Throughout the program, you will be involved in the entire data lifecycle, from data collection and cleaning to advanced statistical modeling, machine learning, and data visualization. You will develop your skills in programming languages such as Python and R, and become proficient in using tools like SQL, Pandas, Scikit-learn, and TensorFlow. The program emphasizes practical application, so you will contribute to developing predictive models, uncovering hidden patterns, and generating actionable recommendations to solve complex business problems across various industries. This role requires a strong foundation in mathematics, statistics, and computer science, along with a keen curiosity and a passion for data. Excellent problem-solving skills, attention to detail, and a proactive attitude are essential for success. You will work collaboratively in a virtual team environment, honing your communication and presentation skills as you share your findings.
Responsibilities:
Throughout the program, you will be involved in the entire data lifecycle, from data collection and cleaning to advanced statistical modeling, machine learning, and data visualization. You will develop your skills in programming languages such as Python and R, and become proficient in using tools like SQL, Pandas, Scikit-learn, and TensorFlow. The program emphasizes practical application, so you will contribute to developing predictive models, uncovering hidden patterns, and generating actionable recommendations to solve complex business problems across various industries. This role requires a strong foundation in mathematics, statistics, and computer science, along with a keen curiosity and a passion for data. Excellent problem-solving skills, attention to detail, and a proactive attitude are essential for success. You will work collaboratively in a virtual team environment, honing your communication and presentation skills as you share your findings.
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets.
- Develop and implement statistical models and machine learning algorithms.
- Perform exploratory data analysis to identify trends and insights.
- Create compelling data visualizations to communicate findings effectively.
- Collaborate with senior data scientists on ongoing projects.
- Learn and apply various data science methodologies and tools.
- Participate in team meetings and contribute to project discussions.
- Document methodologies, findings, and code.
- Assist in the deployment and monitoring of data models.
- Contribute to the continuous improvement of data science processes and techniques.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, 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 and database management.
- Basic knowledge of data visualization tools.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and ability to work with large datasets.
- Good written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and adapt to new technologies.
This advertiser has chosen not to accept applicants from your region.
2
Data Science Graduate Fellow
20200 Kapsuser
KES70000 month
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Posted today
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Job Description
Our client is launching an exciting, fully remote Graduate Fellowship program focused on Data Science. This program is designed for recent graduates eager to gain hands-on experience in a dynamic, fast-paced environment. As a Data Science Graduate Fellow, you will work closely with senior data scientists and analysts on real-world projects, contributing to data-driven decision-making across various business units. You will have the opportunity to develop and apply machine learning models, conduct statistical analyses, and visualize complex datasets. This fellowship emphasizes learning and growth, providing mentorship and exposure to advanced analytical tools and techniques.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from diverse sources.
- Develop and implement statistical models and machine learning algorithms under guidance.
- Conduct exploratory data analysis to identify trends, patterns, and insights.
- Create visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
- Collaborate with cross-functional teams in a virtual setting to understand data needs and deliver solutions.
- Participate in code reviews and contribute to the development of data pipelines.
- Research and evaluate new data science methodologies and tools.
- Document data analysis processes, methodologies, and results thoroughly.
- Present project findings and insights to the data science team and management.
- Contribute to a culture of continuous learning and innovation within the team.
- 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 machine learning techniques.
- Proficiency in programming languages such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with SQL for database querying.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills, with the ability to explain technical concepts clearly.
- Self-motivated and able to work independently in a remote setting.
- Eagerness to learn and adapt to new technologies and challenges.
- Demonstrated ability to work collaboratively in a virtual team environment.
This advertiser has chosen not to accept applicants from your region.
3
Graduate Data Science Fellow
90200 Mlolongo, Eastern
KES3500 Hourly
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Posted today
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Job Description
Our client is looking for enthusiastic and talented Graduate Data Science Fellows to join their innovative, fully remote team. This fellowship offers a unique opportunity for recent graduates to gain hands-on experience in the field of data science, working on real-world projects under the guidance of experienced mentors. You will be involved in the entire data science lifecycle, from data collection and cleaning to model development, evaluation, and deployment. This is an ideal role for individuals who are passionate about uncovering insights from data and applying analytical techniques to solve challenging business problems.
As a Fellow, you will contribute to various data-driven initiatives, which may include building predictive models, performing statistical analysis, creating data visualizations, and developing dashboards. You will have the opportunity to work with diverse datasets and cutting-edge tools and technologies. This position is designed to foster learning and growth in a supportive, remote-first environment. Strong programming skills in Python or R, a solid understanding of statistical concepts, and a keen analytical mindset are essential. While a background in data science, computer science, statistics, mathematics, or a related field is preferred, we encourage applications from motivated individuals with a strong aptitude for quantitative analysis and problem-solving. Successful candidates will demonstrate excellent communication skills and the ability to collaborate effectively with team members remotely.
Responsibilities:
Qualifications:
As a Fellow, you will contribute to various data-driven initiatives, which may include building predictive models, performing statistical analysis, creating data visualizations, and developing dashboards. You will have the opportunity to work with diverse datasets and cutting-edge tools and technologies. This position is designed to foster learning and growth in a supportive, remote-first environment. Strong programming skills in Python or R, a solid understanding of statistical concepts, and a keen analytical mindset are essential. While a background in data science, computer science, statistics, mathematics, or a related field is preferred, we encourage applications from motivated individuals with a strong aptitude for quantitative analysis and problem-solving. Successful candidates will demonstrate excellent communication skills and the ability to collaborate effectively with team members remotely.
Responsibilities:
- Assist in data collection, cleaning, and preprocessing.
- Perform exploratory data analysis and identify key trends and patterns.
- Develop and implement machine learning models under supervision.
- Create data visualizations and reports to communicate findings.
- Contribute to the documentation of data science processes and methodologies.
- Collaborate with team members on various data science projects.
- Learn and apply new data science techniques and tools.
- Participate in team meetings and present project updates.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Proficiency in Python or R for data analysis and modeling.
- Basic understanding of machine learning concepts and algorithms.
- Familiarity with data visualization libraries (e.g., Matplotlib, Seaborn, ggplot2).
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies.
This advertiser has chosen not to accept applicants from your region.
4
Graduate Trainee - Data Science
10100 Garissa, North Eastern
KES70000 month
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Posted today
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Job Description
Our client is seeking enthusiastic and motivated Graduate Trainees to join their Data Science program. This is an exceptional opportunity for recent graduates to launch their careers in a highly sought-after field, working remotely within a supportive and innovative team. As a Graduate Trainee, you will receive comprehensive training and mentorship, gaining hands-on experience in data analysis, machine learning, statistical modeling, and data visualization. You will work on real-world projects, assisting senior data scientists in collecting, cleaning, and analyzing large datasets to derive actionable insights. The ideal candidate possesses a strong analytical mindset, a passion for learning, and a solid foundation in mathematics, statistics, and programming. This program is designed to develop future leaders in data science, providing a clear path for career progression within the organization. You will learn to use industry-standard tools and techniques, contribute to data-driven decision-making, and develop solutions that address complex business challenges.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Support the development and implementation of machine learning models under the guidance of senior data scientists.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Contribute to the creation of data visualizations and reports to communicate findings effectively.
- Learn and apply statistical methods and modeling techniques to solve business problems.
- Collaborate with cross-functional teams to understand data requirements and project objectives.
- Participate in team meetings, knowledge-sharing sessions, and training programs.
- Assist in documenting data science processes, methodologies, and code.
- Gain proficiency in various data science tools and programming languages (e.g., Python, R, SQL).
- Contribute to the continuous learning and improvement of the data science team's capabilities.
- Undertake assigned projects and tasks with diligence and a proactive attitude.
- 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 probability.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with SQL for data manipulation.
- Excellent analytical and problem-solving skills.
- Strong desire to learn and develop skills in data science and machine learning.
- Good communication and interpersonal skills, with the ability to work collaboratively.
- Ability to work independently and manage time effectively in a remote setting.
- A keen interest in technology and data-driven insights.
- Previous internship or project experience in data analysis is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Junior Data Science Apprentice
10100 Nyeri Town
KES30000 month
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Posted today
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Job Description
Our client is offering a fantastic opportunity for a motivated and eager Junior Data Science Apprentice to join their innovative team. This position offers a hybrid work model, combining remote flexibility with essential in-office collaboration. You will work closely with experienced data scientists, gaining hands-on experience in data analysis, machine learning, and predictive modeling. Your responsibilities will include data cleaning and preparation, assisting in the development and testing of algorithms, and generating reports and visualizations to communicate findings. You will have the chance to learn and apply various statistical techniques and data mining tools. The ideal candidate will possess a strong aptitude for mathematics and statistics, a keen analytical mind, and a passion for data. Familiarity with programming languages like Python or R, and an understanding of data manipulation libraries (e.g., Pandas, NumPy) are advantageous, though extensive training will be provided. Excellent problem-solving skills, attention to detail, and a proactive attitude are essential. You should be eager to learn, adaptable, and capable of working both independently and as part of a team. This apprenticeship is an excellent stepping stone for a career in data science, providing valuable real-world experience and mentorship. If you are a recent graduate or an individual looking to transition into the field of data science, and are excited about the prospect of learning and growing within a supportive environment, we encourage you to apply. This hybrid role requires presence in **Nyeri, Nyeri, KE** on designated days for collaborative work and team meetings.
This advertiser has chosen not to accept applicants from your region.
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6
Advanced Apprenticeship - Data Science
30100 Moiben
KES30000 month
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Posted 1 day ago
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Job Description
Our client, a cutting-edge technology firm specializing in AI and machine learning solutions, is offering a highly sought-after, fully remote Advanced Apprenticeship in Data Science. This program is designed for ambitious individuals looking to kickstart their career in data analytics and become proficient in advanced data science techniques. As an apprentice, you will work alongside our team of experienced data scientists, contributing to real-world projects and gaining hands-on experience in data collection, cleaning, analysis, and visualization. You will learn to develop predictive models, apply machine learning algorithms, and extract actionable insights from complex datasets. The program emphasizes a blend of structured learning modules, mentored project work, and continuous feedback. The ideal candidate is highly motivated, possesses strong analytical aptitude, and has a foundational understanding of mathematics and statistics. This is an incredible opportunity to learn from industry leaders and develop valuable skills in a supportive, remote environment.
Program Highlights:
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.
This advertiser has chosen not to accept applicants from your region.
7
Graduate Trainee - Data Science
20100 Witeithie
KES4000 Weekly
WhatJobs
Posted 1 day ago
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Job Description
Embark on your career journey with our prestigious 'Graduate Trainee - Data Science' program, offering a fully remote learning and development experience. This program is designed for recent graduates who are passionate about data, analytics, and uncovering insights from complex datasets. As a trainee, you will work alongside experienced data scientists, learning to clean, analyze, and visualize data, and contribute to building predictive models and machine learning algorithms. You will gain hands-on experience with various data science tools and programming languages, such as Python and R, and learn to apply statistical methods and machine learning techniques. The program emphasizes practical application, problem-solving, and teamwork within a collaborative, remote environment. You will be involved in real-world projects, contributing to business-critical decisions and gaining invaluable industry knowledge. This is an exceptional opportunity to kick-start your career in data science with comprehensive training and mentorship, all from the convenience of your home office. We are looking for enthusiastic, curious individuals with a strong academic background and a keen interest in data.
Key Responsibilities:
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.
This advertiser has chosen not to accept applicants from your region.
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