2,479 Graduate Data Scientist Machine Learning Focus jobs in Kenya
Graduate Data Scientist - Machine Learning Focus
Posted 21 days ago
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Job Description
Our client is seeking ambitious and bright recent graduates to join their innovative team as Graduate Data Scientists, focusing on Machine Learning. This is a fully remote, full-time internship opportunity designed to provide a robust foundation in data science and machine learning within a supportive and collaborative environment. You will work on real-world projects, applying cutting-edge techniques to extract insights, build predictive models, and contribute to data-driven decision-making across the organization. The ideal candidate possesses a strong quantitative background, a passion for learning, and excellent programming skills. This role offers a unique chance to gain practical experience and develop expertise in a high-demand field, all from a remote setting.
Key Responsibilities:
Key Responsibilities:
- Assist senior data scientists in data cleaning, preprocessing, and feature engineering for machine learning models.
- Develop, train, and evaluate machine learning models for various business problems, such as classification, regression, and clustering.
- Implement and fine-tune algorithms using popular machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights within datasets.
- Visualize data and model results effectively to communicate findings to stakeholders.
- Collaborate with cross-functional teams to understand data needs and translate business problems into data science solutions.
- Document methodologies, code, and results thoroughly.
- Stay updated with the latest advancements and research in machine learning and artificial intelligence.
- Assist in the deployment and monitoring of machine learning models in production environments.
- Participate in team meetings, brainstorming sessions, and knowledge-sharing activities.
- Contribute to the development of data pipelines and infrastructure.
- Help in the design and execution of A/B tests and other experiments.
- Learn and apply best practices in software development and data science.
- Support the team in data wrangling and ETL processes.
- Contribute to the creation of technical reports and presentations.
- Assist in the validation and testing of data models.
- Engage in continuous learning through online courses, workshops, and internal training.
- Identify potential data sources for new projects.
- Work on assigned tasks with a focus on accuracy and efficiency.
- Contribute to a positive and collaborative remote team culture.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Strong understanding of machine learning concepts, algorithms, and statistical modeling.
- Proficiency in programming languages such as Python or R.
- Experience with relevant data science and machine learning libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Solid understanding of SQL and database querying.
- Excellent analytical, problem-solving, and critical thinking skills.
- Good written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- A genuine passion for data, machine learning, and continuous learning.
- Previous internship or project experience in data science or machine learning is a plus.
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Graduate Data Scientist - Machine Learning Focus (Remote)
Posted 4 days ago
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Job Description
Our client is seeking ambitious and bright Graduate Data Scientists eager to launch their careers with a focus on Machine Learning. This is a fully remote internship, providing an invaluable opportunity to gain hands-on experience in a cutting-edge field from anywhere. You will work closely with experienced data scientists and engineers on real-world projects, contributing to the development and implementation of predictive models and analytical solutions. Your responsibilities will include data collection, cleaning, preprocessing, feature engineering, and building, training, and evaluating machine learning models. You will assist in exploring datasets, identifying trends, and communicating findings to the team. The ideal candidate will have a strong academic foundation in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) are highly desirable. Excellent analytical, problem-solving, and communication skills are essential. We are looking for a curious, proactive, and eager-to-learn individual who can thrive in a collaborative remote environment and contribute fresh perspectives. This internship offers a significant opportunity for professional development and a chance to make a tangible impact on data-driven projects. If you are a recent graduate passionate about data science and machine learning and ready to embark on a remote career journey, we encourage you to apply. This role is based conceptually in Nairobi, Nairobi, KE , but is fully remote.
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Remote Graduate Data Scientist - Machine Learning Focus
Posted 22 days ago
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Job Description
Our client is actively seeking ambitious and talented Graduate Data Scientists to join their innovative, fully remote team. This internship offers an exceptional opportunity for recent graduates to apply their academic knowledge to real-world challenges, contributing to cutting-edge projects in machine learning and artificial intelligence. You will work alongside experienced data scientists and engineers, gaining hands-on experience in data cleaning, feature engineering, model development, and deployment. The ideal candidate possesses a strong quantitative background, a solid understanding of statistical modeling and machine learning algorithms, and proficiency in programming languages like Python or R. This role is perfect for individuals passionate about leveraging data to drive insights and solutions in a collaborative, remote-first environment.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop, train, and evaluate machine learning models for predictive analytics and pattern recognition.
- Implement various algorithms, including regression, classification, clustering, and deep learning techniques.
- Collaborate with senior data scientists to refine models and optimize performance.
- Contribute to the interpretation of model results and the generation of actionable insights.
- Develop data visualizations to communicate findings effectively to technical and non-technical audiences.
- Participate in code reviews and contribute to the development of robust data pipelines.
- Stay up-to-date with the latest advancements in data science, machine learning, and AI.
- Document methodologies, code, and results thoroughly.
Qualifications:
- Pursuing or recently completed a Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Solid theoretical understanding of statistical modeling and various machine learning algorithms.
- Proficiency in Python or R, including relevant data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Familiarity with SQL and database management.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to explain complex technical concepts.
- Ability to work independently and collaboratively within a remote team setting.
- Eagerness to learn and adapt to new technologies and challenges.
- Previous internship or project experience in data science is a plus.
- This opportunity is based in **Naivasha, Nakuru, KE**, and is a fully remote position.
This advertiser has chosen not to accept applicants from your region.
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Lead Quantum Computing Researcher - Algorithm Development
Posted 14 days ago
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Job Description
Our client, a pioneering force in scientific innovation, is seeking an exceptional Lead Quantum Computing Researcher to spearhead groundbreaking work in algorithm development. This fully remote position offers the unique opportunity to contribute to the future of computation from anywhere in the world. You will be at the forefront of designing, simulating, and implementing novel quantum algorithms for complex problem-solving across various domains, including cryptography, drug discovery, and materials science. The successful candidate will possess a Ph.D. in Physics, Computer Science, Mathematics, or a related field, with a deep theoretical understanding of quantum mechanics and quantum information theory. Proven experience in developing and testing quantum algorithms using platforms like Qiskit, Cirq, or PennyLane is essential. You will lead a team of talented researchers, fostering a collaborative and intellectually stimulating remote environment. Your responsibilities will include defining research objectives, securing funding through grant proposals, publishing findings in top-tier journals, and presenting at international conferences. This role demands a visionary thinker capable of translating complex theoretical concepts into practical, implementable quantum solutions. The ability to mentor and guide junior researchers, manage project timelines, and effectively communicate research progress to both technical and non-technical audiences is crucial. As a remote-first role, strong self-discipline, excellent communication skills, and a proactive approach to problem-solving are paramount. This is an unparalleled opportunity to shape the trajectory of quantum computing, working remotely and contributing to transformative scientific advancements from your home base, conceptually linked to Kericho, Kericho, KE .
Key Responsibilities:
Key Responsibilities:
- Lead the research and development of novel quantum algorithms.
- Design, simulate, and analyze quantum algorithms for real-world applications.
- Collaborate with a global team of scientists and engineers in a remote setting.
- Publish research findings in peer-reviewed journals and present at conferences.
- Mentor and guide junior researchers in quantum computing principles and practices.
- Contribute to the development of quantum software platforms and tools.
- Identify and pursue new research opportunities and funding avenues.
- Ensure the theoretical rigor and practical feasibility of developed algorithms.
- Stay updated with the latest advancements in quantum computing and related fields.
- Foster a culture of innovation and scientific excellence within the remote research group.
- Ph.D. in Physics, Computer Science, Mathematics, or a closely related quantitative field.
- Extensive experience in quantum information theory and quantum algorithm design.
- Proficiency with quantum programming frameworks (e.g., Qiskit, Cirq, PennyLane).
- Demonstrated ability to conduct independent research and lead research projects.
- Strong publication record in reputable journals.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and interpersonal skills for effective remote collaboration.
- Experience in leading or mentoring research teams is highly desirable.
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Senior Quantum Computing Researcher - Algorithm Development
Posted 11 days ago
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Job Description
Our client is at the forefront of quantum computing innovation and is seeking a highly accomplished Senior Quantum Computing Researcher to join their pioneering team. This is a fully remote position, offering an unparalleled opportunity to shape the future of computation from anywhere in the world. You will be instrumental in advancing the theoretical and practical aspects of quantum algorithms, focusing on their application in solving complex scientific and industrial problems. This role demands a deep theoretical foundation in quantum mechanics, computer science, and advanced mathematics, coupled with practical experience in quantum algorithm design and simulation. You will collaborate with leading minds in the field, pushing the boundaries of what is possible with quantum technology.
Responsibilities:
Responsibilities:
- Conceptualize, design, and develop novel quantum algorithms for specific computational challenges.
- Analyze the performance and scalability of quantum algorithms on various quantum hardware architectures.
- Conduct theoretical research and publish findings in peer-reviewed journals and present at international conferences.
- Collaborate with quantum hardware engineers to translate theoretical concepts into practical implementations.
- Develop and utilize quantum simulation tools and frameworks to test and validate algorithms.
- Mentor junior researchers and contribute to building a strong research culture within the remote team.
- Stay abreast of the latest advancements in quantum computing, quantum information theory, and related fields.
- Contribute to grant proposals and research funding applications.
- Engage with external research institutions and industry partners to foster collaboration.
- Translate complex quantum concepts into understandable explanations for diverse audiences.
- Ph.D. in Physics, Computer Science, Mathematics, or a related field with a specialization in quantum computing.
- Minimum of 5-8 years of post-doctoral research experience in quantum algorithm development or quantum information theory.
- Demonstrated expertise in quantum mechanics, linear algebra, and theoretical computer science.
- Strong programming skills in Python, with experience using quantum computing libraries (e.g., Qiskit, Cirq, PennyLane).
- Proven track record of impactful research, evidenced by publications in top-tier journals and conference presentations.
- Experience with quantum programming and simulation environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills, essential for remote collaboration and dissemination of research findings.
- Ability to work independently, manage research projects, and drive innovation in a distributed environment.
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Remote Lead Algorithmic Trading Developer
Posted 22 days ago
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Job Description
Our client, a leading global financial institution, is seeking a highly accomplished and innovative Lead Algorithmic Trading Developer to spearhead the development and enhancement of their sophisticated trading systems. This is a fully remote position, offering the flexibility to work from any location. You will be instrumental in designing, implementing, and optimizing high-frequency trading strategies, working closely with quantitative researchers and traders to translate complex mathematical models into robust, low-latency code.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of algorithmic trading strategies and infrastructure.
- Write clean, efficient, and maintainable high-performance C++ or Python code for trading systems.
- Optimize trading algorithms for speed, accuracy, and profitability.
- Collaborate closely with quantitative analysts to implement and backtest trading strategies.
- Develop and maintain real-time data processing pipelines.
- Monitor the performance of live trading systems and troubleshoot issues promptly.
- Implement robust testing frameworks, including unit, integration, and performance testing.
- Contribute to architectural decisions and technology roadmap for the trading platform.
- Mentor and guide junior developers within the team.
- Ensure compliance with all relevant financial regulations and risk management policies.
- Research and integrate new technologies to enhance trading capabilities.
- Work with exchange connectivity and market data providers.
- Master's or Ph.D. in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field.
- Minimum of 8 years of experience in software development, with at least 5 years focused on algorithmic trading or quantitative finance.
- Expert-level proficiency in C++ and/or Python for high-performance computing.
- Deep understanding of financial markets, trading strategies, and order types.
- Proven experience with low-latency systems and real-time data processing.
- Strong knowledge of data structures, algorithms, and object-oriented design principles.
- Experience with distributed systems and parallel computing.
- Familiarity with exchange APIs and FIX protocol is a significant advantage.
- Excellent problem-solving and analytical skills.
- Demonstrated leadership capabilities and experience mentoring junior team members.
- Ability to work effectively in a fast-paced, remote environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Graduate Data Analyst - AI & Machine Learning
Posted 1 day 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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6
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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7
Remote Work: AI Data Annotation Specialist
KES60000 - KES120000 Y
TELUS Digital
Posted today
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Job Description
About the Role:
Help shape the future of AI We're seeking detail-oriented freelancers to join a global AI data annotation project. As an AI Data Annotation Specialist, you'll annotate, label, and curate data that powers advanced machine learning models. Your work—tagging images, labeling text, or collecting documents—will directly impact the accuracy and performance of AI systems used worldwide.
Key Responsibilities:
- Annotate & Label: Tag, categorize, and review text, images, and documents.
- Collect Data: Gather and organize high-quality datasets for AI training.
- Ensure Quality: Review and validate data for precision and consistency.
- Collaborate Globally: Work with an international team to hit project milestones.
Basic Requirements:
- Strong attention to detail and ability to follow precise instructions.
- Reliable internet connection and ability to work independently.
- Prior experience in data annotation or labeling is a plus but not required.
- Basic understanding of AI or machine learning concepts is advantageous.
- Strong proficiency in English for clear communication and reporting.
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8
Sports Analytics Specialist
Posted 22 days ago
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Job Description
Our client, a cutting-edge sports analytics firm, is looking for a talented and passionate Sports Analytics Specialist to join their fully remote team. This is an exciting opportunity for an individual with a strong aptitude for data analysis, statistical modeling, and a deep understanding of sports. As a Sports Analytics Specialist, you will be responsible for collecting, cleaning, and analyzing vast datasets related to athletic performance, game statistics, and player behavior across various sports. Your insights will be critical in informing strategic decisions for athletes, teams, and sports organizations, aiming to optimize performance, identify talent, and enhance game strategies. You will develop predictive models, create visualizations, and present complex findings in a clear and understandable manner to both technical and non-technical stakeholders. The ideal candidate will possess a robust background in statistics, mathematics, computer science, or a related quantitative field, coupled with a genuine passion for sports. Proficiency in data analysis tools and programming languages such as Python, R, or SQL is essential. You should be adept at translating raw data into actionable recommendations and possess excellent communication skills to articulate your findings effectively. This remote role requires a self-starter with a proactive approach to problem-solving and a commitment to staying ahead of the curve in the evolving field of sports analytics. If you are driven by data, love sports, and are looking for a challenging and rewarding remote career, this position is perfect for you.
Responsibilities:
Responsibilities:
- Collect, clean, and process large sports-related datasets.
- Develop and apply statistical models to analyze player and team performance.
- Create predictive models for game outcomes, player development, and strategic planning.
- Visualize data and present findings through reports, dashboards, and presentations.
- Collaborate with coaches, athletes, and management to provide data-driven insights.
- Identify trends and patterns in sports data to inform decision-making.
- Stay updated on the latest advancements in sports analytics techniques and technologies.
- Ensure data integrity and accuracy throughout the analysis process.
- Contribute to the development of new analytical tools and methodologies.
- Communicate complex analytical concepts to diverse audiences.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. A Master's degree is preferred.
- Minimum of 3 years of experience in data analysis, statistical modeling, or a similar role, preferably within the sports industry.
- Proficiency in programming languages such as Python or R.
- Strong knowledge of SQL and database management.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Solid understanding of statistical concepts and machine learning techniques.
- Deep knowledge and passion for one or more sports.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Ability to work independently and manage projects in a remote environment.
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