392 Junior Data Scientist Graduate Program jobs in Nairobi
Data Scientist - Graduate Program
Posted 12 days ago
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Job Description
Our client is launching an exciting graduate program for aspiring Data Scientists, offering a fully remote opportunity to kick-start your career. This program is designed for recent graduates with a strong quantitative background and a passion for extracting insights from data. You will work alongside experienced data scientists and engineers on real-world projects, gaining hands-on experience in data analysis, machine learning model development, and data visualization. Your responsibilities will include data cleaning and preprocessing, exploratory data analysis, building and validating predictive models, and presenting findings to technical and non-technical audiences. You will have the opportunity to learn and apply various statistical and machine learning techniques, including regression, classification, clustering, and deep learning. Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) are highly desirable. Familiarity with SQL and database management is also beneficial. We are looking for curious and analytical individuals who are eager to learn and contribute to data-driven decision-making. Strong problem-solving skills and the ability to work independently in a remote setting are essential. This program provides comprehensive training, mentorship, and exposure to a wide range of data science challenges. It's an excellent stepping stone for a successful career in data science, offering valuable experience in the vibrant tech scene associated with **Mombasa, Mombasa, KE**. This internship will provide a foundational understanding of our client's innovative approach to data, setting you up for future success.
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Junior Data Scientist - Graduate Program
Posted 21 days ago
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Job Description
Our client is excited to launch a comprehensive Graduate Program for aspiring Junior Data Scientists, offering a fully remote opportunity to kickstart your career in data analytics and machine learning. This program is designed for recent graduates who possess a strong foundation in quantitative fields and a passion for uncovering insights from complex datasets. As a Junior Data Scientist, you will work closely with experienced mentors on real-world projects, gaining hands-on experience in data collection, cleaning, analysis, visualization, and model development. You will learn to apply various statistical techniques and machine learning algorithms to solve business problems, contributing to data-driven decision-making across different departments. Key responsibilities include assisting in the design and implementation of data experiments, developing predictive models, and communicating findings through clear and concise reports and presentations. This role requires proficiency in programming languages such as Python or R, and familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow). You will also develop skills in SQL for database querying and potentially Big Data technologies. The program emphasizes continuous learning and professional development, providing access to online courses, workshops, and mentorship opportunities. This is an exceptional chance to gain invaluable experience and build a strong foundation in data science within a supportive, remote-first environment, contributing to impactful projects from **Mombasa, Mombasa, KE**. Ideal candidates are proactive, curious, and eager to learn from industry experts.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing.
- Perform exploratory data analysis and identify key trends.
- Develop and implement basic machine learning models.
- Create data visualizations to communicate insights effectively.
- Support senior data scientists on ongoing projects.
- Write and optimize SQL queries for data extraction.
- Document methodologies and findings clearly.
- Collaborate with cross-functional teams in a remote setting.
- Contribute to the development of data-driven solutions.
- Stay updated on emerging data science techniques and tools.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning principles.
- Proficiency in Python or R for data analysis and modeling.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Basic knowledge of SQL for database querying.
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a remote environment.
- Eagerness to learn and adapt to new technologies.
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Junior Data Scientist - Graduate Program (Remote)
Posted 14 days ago
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Job Description
Our client is thrilled to offer a unique opportunity for ambitious graduates to join their innovative team as a Junior Data Scientist through a fully remote Graduate Program. This role is designed to provide comprehensive training and hands-on experience in the field of data science. You will work alongside experienced data scientists, contributing to exciting projects that leverage data to drive business insights and solutions. Your responsibilities will include data collection, cleaning, and preprocessing from various sources. You will assist in developing and implementing machine learning models, conducting statistical analyses, and generating reports to visualize and communicate findings. This internship will expose you to a wide range of tools and technologies used in data science, including Python, R, SQL, and various data visualization libraries. You will participate in team meetings, brainstorming sessions, and workshops, gaining valuable knowledge and practical skills. The program emphasizes continuous learning and development, with opportunities to explore different areas of data science, such as predictive modeling, natural language processing, and big data analytics. A strong academic background in a quantitative field such as computer science, statistics, mathematics, engineering, or a related discipline is required. Excellent analytical and problem-solving skills, along with a strong curiosity and passion for data, are essential. While this position is fully remote, the successful candidate will be integrated into the company's vibrant culture and mentored by industry experts. We are looking for candidates who are eager to learn, proactive, and possess strong communication skills to articulate complex technical concepts clearly. This is an exceptional chance to kick-start your career in data science with a forward-thinking company. The program supports the vibrant innovation happening in and around Mombasa, Mombasa, KE .
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Remote Junior Data Scientist - Graduate Program
Posted 18 days ago
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Job Description
Our client is committed to fostering future talent and is offering an exceptional opportunity for recent graduates to join their dynamic team as Junior Data Scientists through a fully remote Graduate Program. This program is designed to provide comprehensive training and hands-on experience in the field of data science, equipping you with the skills needed to excel in this in-demand profession. You will work on real-world projects, collaborating with experienced data scientists and analysts to extract meaningful insights from complex datasets. Your responsibilities will include data cleaning, preprocessing, exploratory data analysis, building predictive models, and visualizing data to communicate findings effectively. The ideal candidate will possess a strong quantitative background, a passion for data, and a solid understanding of statistical concepts and programming languages such as Python or R. Familiarity with machine learning algorithms and data visualization tools is a plus. We are looking for enthusiastic, curious, and self-motivated individuals eager to learn and contribute. This program offers a supportive learning environment, mentorship from industry experts, and exposure to diverse analytical challenges across various business functions. Embrace this incredible chance to launch your career in data science with a company that invests in your growth and offers the flexibility of a remote work experience.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Develop and implement statistical models and machine learning algorithms.
- Visualize data and present findings to the team in a clear and concise manner.
- Collaborate with senior data scientists on research and project tasks.
- Assist in the evaluation and validation of models.
- Contribute to the documentation of data pipelines and analytical processes.
- Learn and apply new data science techniques and tools.
- Support ad-hoc data analysis requests from various departments.
- Participate actively in team meetings and learning sessions.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong foundation in statistical concepts and quantitative analysis.
- 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) and machine learning libraries (e.g., Scikit-learn).
- Basic understanding of machine learning algorithms and data modeling techniques.
- Excellent problem-solving and critical thinking skills.
- Strong communication and collaboration skills.
- Eagerness to learn and adapt to new technologies.
- Ability to work independently and manage time effectively in a remote setting.
- Previous internship or project experience in data analysis is a plus.
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AI Research Scientist - Computer Vision
Posted 11 days ago
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Job Description
Our client is at the forefront of innovation and is seeking a brilliant AI Research Scientist specializing in Computer Vision to join their elite, fully remote team. This role offers the unique opportunity to push the boundaries of artificial intelligence from any location, contributing to groundbreaking projects. You will be responsible for researching, developing, and implementing advanced computer vision algorithms and models. This includes tasks such as object detection, image recognition, segmentation, and deep learning model optimization. You will play a pivotal role in designing and conducting experiments, analyzing results, and publishing findings in leading conferences and journals. The ideal candidate will have a strong academic background (PhD or equivalent experience) in Computer Science, AI, Machine Learning, or a related field, with a specialized focus on computer vision. Proficiency in programming languages like Python and experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras are essential. You should have a solid understanding of classical computer vision techniques and state-of-the-art deep learning architectures. Experience with large-scale datasets and cloud computing platforms (AWS, GCP, Azure) is highly beneficial. This remote position requires exceptional problem-solving skills, a passion for scientific inquiry, and the ability to collaborate effectively with a global team of researchers and engineers. You will be contributing to advancements that could originate from **Mlolongo, Machakos, KE**, influencing the future of AI-driven visual understanding.
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Principal AI Research Scientist - Computer Vision
Posted 16 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a visionary Principal AI Research Scientist with a specialization in Computer Vision to join their world-class research team. This is a fully remote position for an individual with a deep passion for pushing the boundaries of artificial intelligence and developing next-generation visual recognition and understanding systems. You will lead research initiatives, conceptualize groundbreaking projects, and contribute significantly to the scientific community through publications and patents. The ideal candidate will possess a Ph.D. in Computer Science, AI, or a related field, with extensive research experience in areas such as object detection, image segmentation, generative models, and deep learning architectures for visual data. You will be responsible for designing and implementing novel algorithms, conducting rigorous experiments, and translating research findings into practical applications. Strong programming skills in Python and experience with major deep learning frameworks (e.g., TensorFlow, PyTorch) are essential. You must be adept at analyzing complex datasets, evaluating model performance, and architecting scalable AI solutions. This role requires exceptional leadership qualities, the ability to mentor junior researchers, and collaborate effectively with cross-functional teams. Excellent communication skills are vital for presenting complex research findings to both technical and executive audiences. This is an unparalleled opportunity to shape the future of computer vision, working on challenging problems with significant real-world impact. We are looking for a highly motivated and independent researcher who can drive innovation and contribute to the intellectual property of the company. Your ability to stay abreast of the latest advancements in AI and computer vision will be critical. The fully remote nature of this role offers the flexibility to work from anywhere, fostering an environment of focused research and discovery. You will be expected to take ownership of research projects, define objectives, and execute them with excellence, contributing to breakthroughs in AI technology. We value individuals who are not only technically brilliant but also possess a creative and forward-thinking mindset.
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5
Remote Junior Graduate Analyst - Data Science
Posted 21 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.
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Lead AI/ML Engineer (Deep Learning)
Posted 21 days ago
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Job Description
Our client is at the forefront of innovation and is seeking an exceptional Lead AI/ML Engineer specializing in Deep Learning to join their pioneering team. This is a fully remote position, offering the opportunity to work from anywhere within Kenya and contribute to groundbreaking advancements. The Lead AI/ML Engineer will be instrumental in designing, developing, and deploying state-of-the-art machine learning models and artificial intelligence solutions. You will lead the technical direction for deep learning projects, mentor junior engineers, and collaborate with product managers and data scientists to translate business requirements into scalable AI systems. Responsibilities include building and optimizing neural networks, developing robust data pipelines, implementing MLOps best practices, and evaluating model performance. The ideal candidate will possess a strong theoretical understanding of machine learning algorithms, extensive hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch), and a proven ability to deliver complex AI solutions in production environments. This role demands exceptional problem-solving skills, a passion for cutting-edge technology, and the ability to thrive in a fast-paced, remote-first setting.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of deep learning models.
- Architect scalable and efficient AI/ML systems and pipelines.
- Implement and optimize neural networks for various applications.
- Collaborate with cross-functional teams to define project requirements and goals.
- Mentor and guide junior AI/ML engineers and data scientists.
- Develop and maintain robust MLOps practices for model deployment and monitoring.
- Evaluate model performance and iterate to achieve optimal results.
- Stay abreast of the latest research and advancements in AI and deep learning.
- Contribute to the company's AI strategy and technical roadmap.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6 years of professional experience in AI/ML engineering, with a focus on deep learning.
- Extensive experience with Python and ML libraries such as TensorFlow, PyTorch, and Keras.
- Proven track record of successfully deploying complex ML models into production.
- Strong understanding of algorithms, data structures, and software engineering principles.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed computing.
- Excellent problem-solving, analytical, and communication skills.
- Demonstrated leadership experience in managing technical projects.
- Ability to work effectively in a fully remote team environment.
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7
Senior AI Research Scientist - Computer Vision
Posted 21 days ago
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Job Description
Our client is seeking a highly motivated and experienced Senior AI Research Scientist to join their cutting-edge AI & Emerging Technologies team. This is a fully remote position, offering the flexibility to work from anywhere. You will be instrumental in driving innovation and developing next-generation artificial intelligence solutions, with a primary focus on computer vision and deep learning.
Responsibilities:
Responsibilities:
- Conduct advanced research in AI, particularly in areas such as image recognition, object detection, segmentation, and generative models.
- Design, develop, and implement novel algorithms and models using state-of-the-art machine learning techniques.
- Collaborate with a multidisciplinary team of engineers and researchers to translate research findings into practical applications.
- Stay abreast of the latest advancements in AI and machine learning, and proactively identify opportunities for innovation.
- Lead and mentor junior researchers and engineers, fostering a collaborative and high-performing team environment.
- Publish research findings in top-tier conferences and journals.
- Develop and maintain robust, scalable, and efficient AI systems.
- Contribute to the strategic direction of the AI research roadmap.
- Ensure the ethical and responsible development and deployment of AI technologies.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of significant research contributions in computer vision and deep learning.
- Strong theoretical and practical understanding of various machine learning algorithms, including deep neural networks (CNNs, RNNs, Transformers).
- Proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, or JAX.
- Experience with large-scale datasets and distributed training.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Demonstrated ability to work independently and as part of a remote team.
- Experience in leading research projects is a plus.
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Senior AI/ML Engineer (Computer Vision)
Posted 21 days ago
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Job Description
Our client is seeking a highly skilled and innovative Senior AI/ML Engineer specializing in Computer Vision to join their cutting-edge, fully remote team. This role is perfect for a forward-thinking individual eager to push the boundaries of artificial intelligence and machine learning. You will be responsible for designing, developing, and deploying advanced computer vision models and systems that solve complex real-world problems. This includes working with large datasets, experimenting with state-of-the-art algorithms, and contributing to the full ML lifecycle. The ideal candidate will have a strong theoretical foundation and practical experience in deep learning, image processing, and related fields. This is a remote-first position, offering significant flexibility and the opportunity to collaborate with a globally distributed team.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement state-of-the-art machine learning and deep learning models for computer vision tasks (e.g., object detection, image segmentation, facial recognition).
- Process, clean, and analyze large-scale image and video datasets.
- Experiment with and evaluate various ML algorithms and architectures.
- Collaborate with software engineers to integrate ML models into production systems.
- Optimize model performance for efficiency, accuracy, and scalability.
- Stay abreast of the latest research and advancements in AI, ML, and computer vision.
- Contribute to the entire ML lifecycle, from data preparation to model deployment and monitoring.
- Develop and maintain robust data pipelines and MLOps practices.
- Write high-quality, maintainable code in Python and relevant ML frameworks.
- Participate in code reviews and provide constructive feedback.
- Present research findings and technical solutions to both technical and non-technical audiences.
- Mentor junior engineers and contribute to the team's technical growth.
- Identify opportunities for applying AI/ML to solve business challenges.
- Ensure ethical considerations and fairness are integrated into AI development.
- Document research, experiments, and model performance.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5-7 years of hands-on experience in AI/ML engineering, with a strong focus on computer vision.
- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, OpenCV.
- Deep understanding of deep learning architectures (CNNs, RNNs, Transformers) and their applications in vision.
- Experience with data augmentation, transfer learning, and model optimization techniques.
- Familiarity with cloud platforms (AWS, GCP, Azure) and associated ML services.
- Strong programming skills and experience with software development best practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for effective remote work.
- Proven ability to work independently and manage complex projects.
- Experience with MLOps tools and practices is highly desirable.
- Publication record in relevant AI/ML conferences or journals is a plus.
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