1,122 Image Recognition jobs in Kenya
Graduate Analyst - Data Science
Posted 20 days ago
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Job Description
Our client is looking for ambitious and bright individuals to join their prestigious Graduate Analyst program focused on Data Science, operating entirely remotely. This internship provides an exceptional opportunity for recent graduates to immerse themselves in the world of data analytics, machine learning, and business intelligence. You will work alongside experienced data scientists, contributing to real-world projects, gaining hands-on experience with cutting-edge tools and techniques, and developing a strong foundation in data-driven decision-making. Responsibilities include data cleaning and preparation, exploratory data analysis, assisting in the development of predictive models, and visualizing data to communicate insights. This is a fully remote position, allowing you to learn and grow from anywhere. We are seeking candidates with a strong quantitative aptitude and a passion for uncovering insights from data.
Key Responsibilities:
Qualifications:
This internship is based in Embu, Embu, KE , but is a fully remote position.
Key Responsibilities:
- 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.
Qualifications:
- 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.
This internship is based in Embu, Embu, KE , but is a fully remote position.
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Junior Graduate Analyst - Data Science and Analytics
Posted 20 days ago
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Job Description
Our client is looking for enthusiastic and highly motivated Graduate Analysts to join their fully remote team and embark on a career in data science and analytics. This internship program is designed to provide recent graduates with hands-on experience in a fast-paced, data-driven environment. You will work alongside experienced professionals, contributing to real-world projects and developing essential analytical skills.
Responsibilities:
Responsibilities:
- 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.
This advertiser has chosen not to accept applicants from your region.
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Graduate Analyst - Data Science (Remote)
Posted 4 days ago
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Job Description
Our client is offering an exciting opportunity for ambitious and bright Graduates to join their cutting-edge Data Science team as Graduate Analysts, working remotely. This internship is designed for individuals passionate about leveraging data to drive insights and innovation, with a focus on projects relevant to **Nyeri, Nyeri, KE**, and national-level data challenges. You will work closely with experienced data scientists, gaining hands-on experience in data cleaning, analysis, visualization, and model development. The ideal candidate will possess a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. Proficiency in programming languages like Python or R, and familiarity with data analysis libraries (e.g., Pandas, NumPy, Scikit-learn) are essential. You should have a solid understanding of statistical concepts and machine learning algorithms. Responsibilities include assisting with data collection and preparation, performing exploratory data analysis, contributing to the development of predictive models, and generating reports and presentations to communicate findings. We are looking for curious, detail-oriented individuals with excellent problem-solving abilities and a strong desire to learn. This fully remote internship provides invaluable real-world experience in data science, allowing you to develop practical skills and contribute to meaningful projects. Join a forward-thinking organization committed to data-driven decision-making and technological advancement. This is an excellent platform to launch your career in the dynamic field of data science.
This advertiser has chosen not to accept applicants from your region.
2
Remote Graduate Data Analyst - AI & Machine Learning Focus
Posted 4 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.
3
Remote Junior Graduate Analyst - Data Science
Posted 20 days ago
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Job Description
Kickstart your career with this exciting, fully remote Junior Graduate Analyst position focused on Data Science! Our client is a rapidly growing tech firm looking for bright, ambitious graduates eager to dive into the world of data. You will work alongside experienced data scientists, learning to extract insights, build predictive models, and contribute to data-driven decision-making across various business functions. This internship is designed to provide a comprehensive learning experience in a supportive, remote-first environment.
Responsibilities:
Responsibilities:
- 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.
This advertiser has chosen not to accept applicants from your region.
4
Lead Sports Performance Analyst - Data Science
Posted 15 days ago
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Job Description
Our client, a cutting-edge organization at the intersection of sports, technology, and data science, is looking for a Lead Sports Performance Analyst to join our fully remote team. This pivotal role involves leveraging advanced data analytics and performance metrics to enhance athletic performance, tactical strategy, and player development across various sports disciplines. You will be responsible for collecting, cleaning, and analyzing vast datasets from training, competition, and biomechanical sources to derive actionable insights. As a remote-first company, we empower our analysts to work from anywhere, collaborating seamlessly with coaches, athletes, and management through sophisticated digital platforms. The ideal candidate will possess a strong background in data science, sports science, and a passion for quantitative analysis in athletic contexts. Your ability to translate complex data into clear, concise recommendations will be key to driving strategic decision-making and achieving competitive advantages.
Key Responsibilities:
Key Responsibilities:
- 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.
This advertiser has chosen not to accept applicants from your region.
5
Remote Sports Performance Analyst - Data Science Focus
Posted 6 days ago
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Job Description
Our client, a professional sports organization, is seeking a highly analytical and technically proficient Remote Sports Performance Analyst to join their team. This fully remote role focuses on leveraging data science techniques to enhance athletic performance and strategic decision-making. You will be responsible for collecting, analyzing, and interpreting vast amounts of performance data from various sources, including training sessions, matches, and wearable technology. The ideal candidate will possess a strong background in data analysis, statistical modeling, and machine learning, with a keen understanding of sports science principles and performance metrics. Key responsibilities include developing predictive models for player performance and injury risk, identifying key performance indicators (KPIs), and providing actionable insights to coaches, athletes, and management. You will create compelling data visualizations and reports to communicate complex findings clearly and concisely. This role requires exceptional attention to detail, a passion for sports, and the ability to work independently in a remote setting. Strong programming skills in languages such as Python or R, and experience with data visualization tools (e.g., Tableau, Power BI), are essential. You will collaborate closely with coaching staff and medical teams to translate data insights into practical training and strategic adjustments. The ability to manage multiple projects, maintain data integrity, and present findings effectively to non-technical stakeholders is paramount. This is an exciting opportunity to contribute to the success of a sports team by applying cutting-edge data science methodologies in a flexible, remote work environment. Join our client and help redefine how sports performance is understood and optimized through data.
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Graduate Data Analyst - Machine Learning Specialization
Posted 10 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.
7
Graduate Data Analyst - Machine Learning Focus
Posted 20 days ago
Job Viewed
Job Description
Are you a recent graduate with a passion for data and a keen interest in machine learning? Our client is looking for a talented Graduate Data Analyst to join our fully remote, innovative team. This internship offers an exceptional opportunity to gain hands-on experience in a fast-paced, cutting-edge environment, working alongside experienced data scientists and analysts. You will be involved in various stages of the data analysis lifecycle, from data collection and cleaning to model development and performance evaluation. Your primary focus will be supporting the implementation and testing of machine learning models, helping to extract valuable insights from complex datasets. This is a remote-first role, designed to provide flexibility and allow you to contribute effectively from anywhere with a reliable internet connection. We are seeking candidates who are eager to learn, possess strong analytical and quantitative skills, and have a foundational understanding of statistical concepts and programming. Experience with Python or R, and familiarity with data visualization tools, would be a significant advantage. You will have the opportunity to work on real-world projects, contributing to data-driven decision-making processes within our organization. This internship is an excellent stepping stone for a career in data science or analytics. You will be mentored by senior team members who will guide you through challenging projects and provide constructive feedback. The role is based out of Kakamega, Kakamega, KE , but it is a fully remote opportunity, welcoming applications from across the globe.
Key Responsibilities:
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets for analysis.
- Support the development and implementation of machine learning models under the guidance of senior staff.
- Perform exploratory data analysis to identify patterns, trends, and anomalies.
- Create data visualizations and reports to communicate findings effectively.
- Conduct statistical analysis and hypothesis testing.
- Collaborate with the data science team on various research and development projects.
- Document methodologies, code, and results clearly and concisely.
- Assist in the evaluation and validation of model performance.
- Learn and apply new data analysis techniques and tools.
- Participate in team meetings and contribute to project discussions.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong foundation in statistical concepts and analytical techniques.
- Basic understanding of machine learning algorithms and principles.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Excellent problem-solving and critical-thinking abilities.
- Strong attention to detail and accuracy.
- Good communication and teamwork skills, essential for remote collaboration.
- Enthusiasm for learning and a proactive attitude.
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8
Remote Data Science Apprentice - AI & Machine Learning
Posted 2 days ago
Job Viewed
Job Description
Our client is launching an exciting, fully remote Data Science Apprenticeship program focused on Artificial Intelligence and Machine Learning. This is an exceptional opportunity for aspiring data scientists to gain hands-on experience and foundational knowledge in a cutting-edge field. The apprenticeship is designed for individuals with a strong aptitude for numbers, logic, and problem-solving, who are eager to learn and contribute. As an apprentice, you will be mentored by experienced data scientists and will work on real-world projects, assisting with data collection, cleaning, preprocessing, and feature engineering. You will learn to apply various machine learning algorithms, build predictive models, and contribute to the development of AI-driven solutions. This role is entirely remote, allowing you to learn and grow from anywhere in Kenya. We provide a structured learning path, access to online courses, and regular feedback sessions to ensure your development. You will gain exposure to tools and technologies such as Python, R, SQL, and popular ML libraries like Scikit-learn, TensorFlow, and PyTorch. The program emphasizes collaborative learning, encouraging apprentices to share insights and learn from each other in a virtual environment. This is an ideal pathway for individuals seeking to build a career in data science and AI. The location for this fully remote role is considered **Meru, Meru, KE**, but you can work from any location. We are committed to fostering a diverse and inclusive learning environment. This is more than just training; it’s a career launchpad.
What You Will Learn:
What You Will Learn:
- Fundamentals of data science, statistics, and machine learning concepts.
- Data manipulation and analysis using Python and SQL.
- Building and evaluating machine learning models (classification, regression, clustering).
- Introduction to deep learning and neural networks.
- Data visualization techniques to communicate findings.
- Best practices for data preprocessing and feature engineering.
- Working effectively in a remote, collaborative team environment.
- A keen interest in data science, AI, and machine learning.
- Strong logical reasoning and problem-solving abilities.
- Basic understanding of mathematics and statistics.
- Familiarity with programming concepts is a plus.
- Excellent communication skills and a proactive learning attitude.
- Ability to work independently and manage time effectively in a remote setting.
- Must be eligible to work remotely within Kenya.
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