2,881 Data Specialists jobs in Kenya
Graduate Data Analyst - AI & Machine Learning
Posted 3 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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Graduate Data Analyst - Machine Learning Specialization
Posted 14 days ago
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Job Description
Our client, a forward-thinking technology firm, is excited to offer a unique Graduate Data Analyst internship with a specialization in Machine Learning. This is a fully remote opportunity, providing invaluable experience to ambitious graduates eager to launch their careers in data science and AI. You will work closely with senior data scientists and engineers, contributing to real-world projects that leverage machine learning to solve complex business challenges. This internship is designed to provide comprehensive exposure to the data analysis lifecycle, from data collection and cleaning to model development, evaluation, and deployment. You will gain hands-on experience with cutting-edge tools and methodologies, developing a strong foundation in data-driven decision-making.
Responsibilities:
Qualifications:
Responsibilities:
- 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).
Qualifications:
- 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.
This advertiser has chosen not to accept applicants from your region.
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Graduate Data Analyst, Machine Learning Focus
Posted 16 days ago
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Job Description
Our client is offering an exceptional opportunity for enthusiastic graduates to join their pioneering team as Graduate Data Analysts, with a specialization in Machine Learning. This is a fully remote internship designed to provide hands-on experience in a cutting-edge field. You will work closely with senior data scientists and engineers, contributing to real-world projects that involve developing and deploying machine learning models. Your responsibilities will include data cleaning, preprocessing, exploratory data analysis, feature engineering, and assisting in the training and evaluation of machine learning algorithms. This role requires a strong quantitative background, a passion for data, and a foundational understanding of statistical concepts and programming languages like Python or R. You will gain invaluable exposure to the entire data science lifecycle in a supportive and collaborative remote environment. We are looking for bright, curious minds eager to learn and apply their academic knowledge to solve challenging business problems. This internship is an excellent springboard for a career in data science or machine learning.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets for analysis and model building.
- Perform exploratory data analysis to uncover trends, patterns, and insights.
- Support the development and implementation of machine learning models under guidance.
- Conduct feature engineering and selection to improve model performance.
- Help evaluate model accuracy and performance metrics.
- Document data analysis processes, methodologies, and findings.
- Collaborate with team members on various data science projects.
- Learn and apply new techniques and tools in data analysis and machine learning.
- Assist in the preparation of reports and visualizations to communicate insights.
- Contribute to a positive and productive remote team environment.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Foundational knowledge 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 data manipulation libraries (e.g., Pandas, NumPy).
- Basic understanding of database concepts and SQL.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies.
- A portfolio of personal projects or contributions to open-source projects is a plus.
This advertiser has chosen not to accept applicants from your region.
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Remote Graduate Data Analyst - AI & Machine Learning Focus
Posted 9 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.
This advertiser has chosen not to accept applicants from your region.
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Junior Data Analyst - Market Research
Posted 24 days ago
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Job Description
Our client is looking for an enthusiastic and detail-oriented Junior Data Analyst to join their market research team. This is a fully remote internship designed to provide hands-on experience in data analysis and market insights. You will work closely with senior analysts to collect, process, and interpret data related to various market trends and consumer behaviors. Your responsibilities will include assisting in the design of surveys, data entry and cleaning, performing basic statistical analysis, and contributing to the creation of reports and presentations. The ideal candidate will have a strong academic background in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, or a related discipline. Familiarity with data analysis tools like Excel, SPSS, R, or Python is a significant advantage. Excellent analytical and problem-solving skills are essential, along with a keen eye for detail and accuracy. Strong written and verbal communication skills are needed to effectively convey findings and insights. This internship is entirely remote, offering the flexibility to work from anywhere within Kenya. You will be provided with mentorship and guidance to develop your skills in data visualization, statistical modeling, and market research methodologies. We are seeking candidates who are eager to learn, possess a strong work ethic, and are passionate about understanding market dynamics. This is an excellent opportunity for recent graduates or current students seeking practical experience in a fast-paced, collaborative environment. Your contributions will directly support strategic decision-making for our client's businesses, allowing you to gain valuable industry exposure, potentially contributing to projects relevant to the market around Malindi, Kilifi, KE .
This advertiser has chosen not to accept applicants from your region.
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Junior Data Analyst - Market Research & Insights
Posted 16 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.
This advertiser has chosen not to accept applicants from your region.
5
Senior Research Scientist - Data Analytics
Posted 24 days ago
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Job Description
Our client is seeking an accomplished Senior Research Scientist with expertise in Data Analytics to lead complex analytical projects within a fully remote environment. This role is crucial for extracting valuable insights from large datasets, developing predictive models, and driving data-informed decision-making across the organization. The ideal candidate possesses a strong quantitative background, advanced statistical modeling skills, and a proven ability to translate data findings into actionable business strategies. You will be instrumental in leveraging data to solve challenging problems and identify new opportunities.
Key Responsibilities:
Qualifications:
This fully remote position, originally associated with Nakuru, Nakuru, KE , offers a competitive compensation package and the chance to drive significant business impact through data. Join our client's innovative research team and help unlock the power of data.
Key Responsibilities:
- Design and implement advanced statistical and machine learning models to analyze large, complex datasets.
- Develop methodologies for data collection, cleaning, and preprocessing.
- Identify key performance indicators and metrics to track business objectives.
- Conduct exploratory data analysis to uncover trends, patterns, and anomalies.
- Build and deploy predictive models for forecasting, classification, and segmentation.
- Communicate complex analytical findings and recommendations clearly to both technical and non-technical stakeholders through compelling visualizations and reports.
- Collaborate with engineering and product teams to integrate analytical solutions into production systems.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Mentor junior data scientists and contribute to the development of the data science team.
- Evaluate and recommend new analytical tools and technologies.
Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- 7+ years of experience in data analysis, statistical modeling, and machine learning.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
- Strong understanding of database technologies (SQL, NoSQL) and data warehousing concepts.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Expertise in various machine learning algorithms and statistical techniques.
- Excellent data visualization skills using tools like Tableau, Power BI, or Matplotlib/Seaborn.
- Strong analytical, problem-solving, and critical thinking abilities.
- Exceptional communication and presentation skills.
- Demonstrated experience working effectively in a remote team setting.
This fully remote position, originally associated with Nakuru, Nakuru, KE , offers a competitive compensation package and the chance to drive significant business impact through data. Join our client's innovative research team and help unlock the power of data.
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6
Remote Junior Data Analyst - Market Research
Posted 16 days ago
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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.
7
Junior Data Analyst & Research Assistant (Remote)
Posted 5 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.
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8
Senior Research Scientist - Data Analytics - Remote
Posted 10 days ago
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Job Description
Our client is seeking an accomplished Senior Research Scientist specializing in Data Analytics to join their pioneering, fully remote research and development team. This is an extraordinary opportunity to conduct advanced research and drive data-informed innovation from anywhere in the world. You will be at the forefront of designing and executing sophisticated analytical projects, developing predictive models, and extracting actionable insights from complex datasets. Your work will involve exploring novel methodologies, validating hypotheses, and translating research findings into practical applications that advance our client's strategic objectives. The ideal candidate possesses a Ph.D. or equivalent in a quantitative field such as Statistics, Mathematics, Computer Science, Physics, or a related discipline. A strong track record of published research and a deep understanding of statistical modeling, machine learning algorithms, and data mining techniques are essential. You must have extensive experience working with large, heterogeneous datasets and possess advanced programming skills in languages like Python or R. Exceptional analytical, problem-solving, and critical thinking abilities are paramount. As this is a remote-first role, outstanding communication, collaboration, and self-management skills are critical. You will need to effectively present complex findings to diverse audiences and collaborate seamlessly with colleagues in a virtual environment. We are looking for curious, innovative individuals who are passionate about scientific discovery and possess the drive to push the boundaries of knowledge.
Key Responsibilities:
Key Responsibilities:
- Design and conduct cutting-edge research in data analytics and related fields.
- Develop and implement advanced statistical models and machine learning algorithms.
- Analyze large and complex datasets to identify trends, patterns, and actionable insights.
- Formulate hypotheses, design experiments, and validate research findings.
- Translate research outcomes into practical applications and recommendations for business strategy.
- Collaborate with cross-functional teams to define research objectives and integrate findings.
- Develop and maintain robust code for data analysis and modeling.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Mentor junior researchers and contribute to the growth of the research team.
- Prepare and present research findings through publications, reports, and presentations.
- Ph.D. or equivalent in Statistics, Mathematics, Computer Science, Physics, or a related quantitative field.
- Minimum of 6 years of post-doctoral or relevant industry research experience.
- Demonstrated expertise in statistical modeling, machine learning, and data mining.
- Proficiency in programming languages such as Python (with libraries like NumPy, Pandas, Scikit-learn) or R.
- Experience with large-scale data processing and database technologies.
- Strong understanding of scientific research methodologies and experimental design.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills for presenting complex technical information.
- Proven ability to work independently and collaborate effectively in a remote research environment.
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