2,451 Data Science Positions jobs in Kenya
Graduate Data Analyst - AI & Machine Learning
Posted 2 days ago
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Job Description
Our client is looking for enthusiastic and bright Graduate Data Analysts to join their pioneering AI & Machine Learning team in a fully remote, internship capacity. This is an exceptional opportunity for recent graduates to gain hands-on experience in the exciting fields of data science, artificial intelligence, and machine learning. You will work closely with experienced data scientists and engineers, contributing to real-world projects that involve data cleaning, feature engineering, model development, and performance evaluation. The ideal candidate will possess a strong foundation in statistics, mathematics, and programming, with a keen interest in developing skills in Python or R, and machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch. You will be involved in extracting insights from large datasets, building predictive models, and assisting in the deployment of AI solutions. As a remote intern, you will benefit from a flexible work environment and access to online learning resources, with regular virtual mentorship sessions and team meetings to ensure guidance and integration. We are seeking individuals who are highly curious, eager to learn, and possess excellent analytical and problem-solving abilities. The ability to communicate technical findings clearly, both verbally and in writing, is also essential. This internship provides a stepping stone for a career in data science and AI, offering exposure to cutting-edge technologies and a supportive learning environment. You will have the chance to apply theoretical knowledge to practical challenges and contribute to innovative projects that are shaping the future of technology. This role is perfect for driven individuals looking to kickstart their career in a rapidly evolving industry.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets.
- Perform exploratory data analysis (EDA) to identify patterns and trends.
- Develop and train machine learning models under guidance.
- Evaluate model performance and provide insights for improvement.
- Assist in feature engineering and selection for predictive models.
- Collaborate with senior data scientists on various AI/ML projects.
- Document methodologies, findings, and results of analyses.
- Learn and apply new data science and machine learning techniques.
- Participate in team meetings and contribute to discussions.
- Support in the visualization of data and model outcomes.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (recent graduates welcome).
- Solid understanding of statistical concepts and their application.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with machine learning concepts and libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Eagerness to learn and adapt to new technologies.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for AI and machine learning.
- A proactive and curious mindset.
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Junior Data Analyst - Market Research
Posted 20 days ago
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Job Description
Our client, a dynamic market research firm, is seeking an enthusiastic and detail-oriented Junior Data Analyst to join their fully remote team. This internship offers an incredible opportunity for recent graduates to gain hands-on experience in data analysis, interpretation, and reporting within the fascinating world of market research. You will work closely with senior analysts to support various research projects, contributing to the understanding of consumer trends, market dynamics, and business strategies. The ideal candidate is eager to learn, possesses strong analytical aptitude, and is proficient in data manipulation and visualization tools. This role is designed to foster growth and provide a solid foundation for a career in data analysis and market intelligence.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in the collection, cleaning, and organization of large datasets from various sources.
- Perform data analysis using statistical software and tools to identify trends, patterns, and insights.
- Create clear and compelling data visualizations, charts, and graphs to communicate findings.
- Support senior analysts in the preparation of research reports and presentations.
- Conduct preliminary analysis of survey data, sales figures, and other market-related information.
- Ensure data accuracy and integrity throughout the analysis process.
- Collaborate with team members in a remote setting, participating in virtual meetings and discussions.
- Learn and apply new analytical techniques and software tools.
- Assist in ad-hoc data requests and analytical tasks as needed.
- Contribute to the development of research methodologies and reporting standards.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Business Analytics, Computer Science, or a related quantitative field.
- Basic understanding of statistical concepts and data analysis techniques.
- Proficiency in spreadsheet software (e.g., Microsoft Excel, Google Sheets), including formulas and pivot tables.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Basic programming skills (e.g., SQL, Python, R) are highly desirable.
- Strong attention to detail and accuracy in data handling.
- Excellent problem-solving abilities and a curious mindset.
- Good written and verbal communication skills, capable of explaining findings clearly.
- Ability to work independently and manage time effectively in a remote work environment.
- Eagerness to learn and adapt to new technologies and methodologies.
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Junior Data Analyst - Market Research & Insights
Posted 15 days ago
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Job Description
Our client is seeking an enthusiastic and detail-oriented Junior Data Analyst to join their market research team. This is a fully remote internship opportunity, perfect for aspiring data professionals looking to gain practical experience. You will work closely with senior analysts to collect, clean, analyze, and interpret data from various sources to provide actionable market insights. This role is ideal for someone with a foundational understanding of statistical concepts, data manipulation, and a strong desire to learn. You will be exposed to diverse datasets and cutting-edge analytical tools, contributing to critical business decisions. The ability to work independently and communicate findings effectively in a virtual setting is essential.
Responsibilities:
Responsibilities:
- Assist in collecting and organizing data from various internal and external sources, including surveys, databases, and public records.
- Perform data cleaning and preprocessing tasks to ensure data accuracy and integrity.
- Conduct preliminary data analysis using statistical methods and software tools.
- Help generate reports and visualizations to present data findings to the team.
- Support senior analysts in developing market research methodologies and survey instruments.
- Identify trends, patterns, and anomalies within datasets and flag them for further investigation.
- Learn and apply new analytical techniques and tools as required.
- Contribute to the documentation of data sources, methodologies, and findings.
- Collaborate with team members remotely to discuss project progress and findings.
- Assist in preparing presentations summarizing research insights.
- Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
- Foundational understanding of statistical concepts and data analysis principles.
- Familiarity with data analysis tools such as Excel, and basic knowledge of SQL, Python, or R is a plus.
- Strong analytical and problem-solving skills with a high level of attention to detail.
- Excellent written and verbal communication skills, with the ability to clearly articulate findings.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- A genuine interest in market research and data-driven decision-making.
- Proactive and able to take initiative on assigned tasks.
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Principal AI Research Scientist - Machine Learning & Computer Vision
Posted 23 days ago
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Job Description
Our client is seeking a brilliant and visionary Principal AI Research Scientist specializing in Machine Learning and Computer Vision for a fully remote role. You will lead groundbreaking research initiatives aimed at developing novel AI algorithms and solutions that address complex real-world problems. This position requires a Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong publication record in top-tier conferences and journals. Your responsibilities will include conceptualizing and executing research projects, developing and implementing cutting-edge ML models (deep learning, reinforcement learning, etc.), and driving innovation in areas such as object detection, image segmentation, and predictive modeling. You will collaborate with cross-functional teams of engineers and product managers to translate research breakthroughs into practical applications. A deep understanding of Python, TensorFlow, PyTorch, and other relevant ML frameworks is essential. The ideal candidate will possess exceptional analytical and problem-solving skills, a passion for scientific discovery, and the ability to mentor junior researchers and engineers. Experience with large-scale data processing and distributed computing environments is highly beneficial. This remote role demands strong communication skills for presenting complex research findings and fostering collaboration within a global, distributed team. You will be at the forefront of AI innovation, shaping the future of our client's technology landscape and contributing to significant advancements in artificial intelligence. This is an unparalleled opportunity to conduct high-impact research with the flexibility of remote work.
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Junior Data Analyst & Research Assistant (Remote)
Posted 4 days ago
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Job Description
Our client is seeking a motivated and detail-oriented Junior Data Analyst and Research Assistant to join their expanding, fully remote team. This is an exceptional internship opportunity for individuals passionate about data analysis, research methodologies, and contributing to meaningful projects from anywhere. You will work closely with senior analysts and researchers to gather, clean, analyze, and interpret data from various sources. Key responsibilities include assisting in the design of data collection instruments, performing preliminary data analysis using statistical software, generating reports and visualizations, and conducting literature reviews to support ongoing research initiatives. You will gain hands-on experience in identifying trends, patterns, and insights within datasets, contributing to strategic decision-making. The ideal candidate will possess strong analytical and quantitative skills, a solid foundation in mathematics or statistics, and a keen eye for detail. Proficiency in basic data manipulation and analysis tools such as Excel is required, and familiarity with statistical software like R or Python is a significant advantage. You must be a proactive learner, comfortable working independently in a remote environment, and possess excellent written and verbal communication skills for clear reporting and collaboration with your remote colleagues. This role provides an excellent platform to develop core data science skills and gain exposure to diverse research areas. Our client is committed to providing a supportive virtual learning environment, offering mentorship and opportunities for professional growth. You will be an integral part of a collaborative team, contributing to projects that require rigorous data-driven approaches. The ability to manage your time effectively, prioritize tasks, and adhere to project timelines is crucial for success in this fully remote position. If you are eager to kickstart your career in data analysis and research and are looking for a dynamic, remote internship experience, we encourage you to apply.
Key Responsibilities:
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing.
- Perform descriptive statistical analysis and generate basic reports.
- Create data visualizations to illustrate findings and trends.
- Conduct literature searches and summarize research findings.
- Support senior team members in data-driven projects.
- Maintain organized and accurate data records.
- Collaborate effectively with remote team members.
- Contribute to the development of research methodologies.
- Learn and apply new data analysis techniques and tools.
- Currently pursuing or recently completed a degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
- Strong analytical and quantitative skills.
- Proficiency in Microsoft Excel for data analysis.
- Familiarity with statistical software (e.g., R, Python) is a plus.
- Excellent attention to detail and accuracy.
- Strong written and verbal communication skills for remote interaction.
- Ability to work independently and manage workload in a remote setting.
- Eagerness to learn and develop data analysis skills.
- Passion for research and problem-solving.
This advertiser has chosen not to accept applicants from your region.
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Remote Graduate Data Analyst - AI & Machine Learning Focus
Posted 7 days ago
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Job Description
Our client is seeking ambitious and intellectually curious Graduate Data Analysts to join their cutting-edge, fully remote program focused on Artificial Intelligence and Machine Learning. This is an exceptional opportunity for recent graduates to gain hands-on experience with real-world data challenges, working alongside experienced data scientists and engineers. You will be instrumental in collecting, cleaning, analyzing, and interpreting large datasets to uncover insights, build predictive models, and contribute to the development of innovative AI solutions.
Responsibilities:
Qualifications:
This paid internship offers invaluable experience in a rapidly growing field, providing mentorship and real project involvement. The role is fully remote, supporting our strategic interests in the Meru, Meru, KE region.
Responsibilities:
- 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.
Qualifications:
- 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.
This paid internship offers invaluable experience in a rapidly growing field, providing mentorship and real project involvement. The role is fully remote, supporting our strategic interests in the Meru, Meru, KE region.
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AI Research Scientist - Machine Learning
Posted 21 days ago
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Job Description
Our client, a pioneering force in AI and Emerging Technologies, is looking for an exceptional AI Research Scientist specializing in Machine Learning to join their globally distributed, fully remote team. This role is at the forefront of innovation, driving the development of cutting-edge AI solutions. You will be responsible for designing, implementing, and evaluating novel machine learning algorithms and models to solve complex problems across various domains. This includes conducting in-depth research, experimenting with different AI architectures, and contributing to the academic and industrial community through publications and presentations. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field, with a strong publication record. Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch), natural language processing, computer vision, or reinforcement learning is highly desirable. You will work collaboratively with other researchers and engineers, participating in code reviews and knowledge sharing sessions within a virtual environment. This position demands strong analytical and problem-solving skills, creativity, and the ability to translate theoretical concepts into practical applications. A passion for pushing the boundaries of AI and a commitment to ethical AI development are essential. This is a unique opportunity to shape the future of artificial intelligence within a dynamic and forward-thinking organization, contributing to advancements relevant to **Nyeri, Nyeri, KE**, from your remote workspace.
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Senior AI Research Scientist - Machine Learning & Deep Learning
Posted 21 days ago
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Job Description
Our client is seeking a brilliant and innovative Senior AI Research Scientist to join their cutting-edge research team. This is a fully remote position, offering an unparalleled opportunity to contribute to groundbreaking advancements in artificial intelligence, machine learning, and deep learning. The ideal candidate will possess a strong theoretical foundation and extensive practical experience in developing and implementing advanced AI models. You will be responsible for conceptualizing, designing, and executing research projects, with a focus on areas such as natural language processing, computer vision, reinforcement learning, or predictive analytics. Your role will involve staying at the forefront of AI research, publishing findings in top-tier conferences and journals, and collaborating with a global team of researchers and engineers. Key responsibilities include developing novel algorithms, building scalable AI systems, conducting rigorous experimentation, and translating research outcomes into practical applications. You will be expected to mentor junior researchers, contribute to the intellectual property portfolio, and actively participate in shaping the future direction of AI development within the organization. This role requires exceptional analytical skills, a deep understanding of mathematical principles underpinning AI, and proficiency in programming languages such as Python, R, and relevant AI frameworks (TensorFlow, PyTorch). The ability to communicate complex technical concepts clearly and concisely to both technical and non-technical audiences is essential. As a remote-first role, strong self-motivation, excellent time management, and proactive collaboration skills are paramount.
Key Responsibilities:
Key Responsibilities:
- Conduct cutting-edge research in artificial intelligence, machine learning, and deep learning.
- Design, develop, and implement novel AI algorithms and models.
- Stay current with the latest advancements and publications in AI research.
- Collaborate with engineers to deploy AI models into production systems.
- Analyze large datasets to extract insights and inform model development.
- Conduct rigorous experimentation and validation of AI solutions.
- Publish research findings in leading AI conferences and journals.
- Mentor junior researchers and contribute to team knowledge sharing.
- Contribute to patent applications and intellectual property development.
- Present research findings to technical and non-technical stakeholders.
- Identify and explore new research opportunities and potential applications of AI.
- Drive innovation and contribute to the strategic direction of AI research.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of research experience in AI, ML, or DL, with a strong publication record.
- Deep understanding of machine learning theory, deep learning architectures, and statistical modeling.
- Proficiency in Python, R, and AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with large-scale data processing and distributed computing frameworks.
- Proven ability to design and conduct complex experiments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a remote team environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
This advertiser has chosen not to accept applicants from your region.
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Remote Junior Data Analyst - Market Research
Posted 15 days ago
Job Viewed
Job Description
Our client is seeking an ambitious and detail-oriented Junior Data Analyst to join our fully remote market research team. This internship is an excellent opportunity for aspiring data professionals to gain hands-on experience in collecting, cleaning, analyzing, and interpreting diverse datasets. You will work closely with senior analysts and researchers to support various market research projects, contributing to insights that drive business strategy. Responsibilities include assisting with data collection from various sources, performing data cleaning and validation, and conducting preliminary statistical analysis using industry-standard tools. You will also help in the creation of data visualizations and reports to communicate findings effectively. The ideal candidate possesses a strong quantitative aptitude, a keen eye for detail, and a genuine interest in market trends and consumer behavior. Proficiency in Excel and a foundational understanding of statistical concepts are essential. Experience with data visualization tools (e.g., Tableau, Power BI) or database querying languages (e.g., SQL) is a plus. We are looking for a motivated individual who is eager to learn, possesses excellent communication skills for remote collaboration, and can work effectively both independently and as part of a distributed team. This is a remote-first internship, offering flexibility and valuable real-world experience. You will have the chance to contribute meaningfully to client projects and develop essential analytical skills under the guidance of experienced professionals. We foster a supportive learning environment where curiosity and initiative are encouraged. The successful intern will gain exposure to the entire data analysis lifecycle within a professional research context. This role is conceptually based in **Bungoma, Bungoma, KE**, but is performed entirely remotely.
Responsibilities:
Responsibilities:
- Assist in the collection and aggregation of market research data from various sources.
- Perform data cleaning, transformation, and validation to ensure accuracy and integrity.
- Conduct preliminary statistical analysis to identify trends and patterns.
- Support the creation of charts, graphs, and dashboards for data visualization.
- Help prepare reports and presentations summarizing research findings.
- Collaborate with senior analysts on data-related tasks for client projects.
- Assist in developing survey questionnaires and data collection instruments.
- Learn and apply data analysis techniques and tools.
- Contribute to team discussions and project planning.
- Maintain organized records of data and analysis processes.
- Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
- Strong foundational knowledge of statistical concepts and data analysis principles.
- Proficiency in Microsoft Excel, including advanced functions (pivot tables, VLOOKUP).
- Basic understanding of data visualization principles.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and commitment to data accuracy.
- Good written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new tools and methodologies.
- Prior internship experience or relevant academic projects are a plus.
This advertiser has chosen not to accept applicants from your region.
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Principal AI Research Scientist, Machine Learning
Posted 21 days ago
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Job Description
Our client, a cutting-edge technology firm at the forefront of AI and Emerging Technologies, is seeking a highly accomplished Principal AI Research Scientist specializing in Machine Learning. This is a fully remote position, offering unparalleled flexibility to work from anywhere in the world. You will lead groundbreaking research initiatives, pushing the boundaries of artificial intelligence to develop novel algorithms and solutions for complex challenges. Your work will involve deep theoretical exploration, practical implementation, and rigorous evaluation of machine learning models across various domains. You will be responsible for identifying key research areas, designing innovative experiments, and driving projects from conception to prototype. The ideal candidate possesses a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a proven track record of impactful research publications in top-tier conferences and journals. Expertise in areas such as deep learning, reinforcement learning, natural language processing, or computer vision is essential. You will collaborate closely with a team of world-class researchers and engineers, contributing to the intellectual property and strategic direction of the company. We are looking for visionary thinkers who can articulate complex technical concepts, mentor junior researchers, and thrive in a collaborative, fast-paced, and intellectually stimulating remote environment. Your contributions will shape the future of AI and its applications, potentially impacting initiatives related to the **Garissa, Garissa, KE** region through broader technological advancements.
Responsibilities:
Responsibilities:
- Lead the design and execution of advanced AI research projects, focusing on machine learning.
- Develop novel algorithms and methodologies in areas such as deep learning, reinforcement learning, NLP, or computer vision.
- Conduct theoretical analysis and empirical validation of AI models.
- Publish research findings in leading AI conferences and journals.
- Collaborate with engineering teams to translate research prototypes into production systems.
- Mentor and guide junior researchers and engineers.
- Identify and explore new research opportunities and emerging AI trends.
- Contribute to the strategic direction of the AI research division.
- Present research findings to internal stakeholders and the broader scientific community.
- Ensure the responsible and ethical development of AI technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- Minimum of 10 years of post-doctoral or industry research experience in AI/ML.
- Exceptional publication record in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Deep expertise in one or more subfields of machine learning (e.g., deep learning architectures, probabilistic models, optimization).
- Proficiency in programming languages such as Python, and ML frameworks like TensorFlow or PyTorch.
- Strong theoretical foundation and practical implementation skills.
- Excellent problem-solving, analytical, and critical thinking abilities.
- Outstanding communication and presentation skills.
- Proven ability to lead research initiatives and mentor teams.
- Experience working in a remote research environment is advantageous.
This advertiser has chosen not to accept applicants from your region.
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