870 Predictive Modeling jobs in Kenya
AI & Machine Learning Lead - Predictive Modeling
20100 Mwembe
KES9000000 Annually
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Posted 3 days ago
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Our client is at the forefront of AI innovation and is seeking an exceptional AI & Machine Learning Lead to spearhead advanced development initiatives. This is a fully remote position, allowing you to contribute your expertise to groundbreaking projects from anywhere. You will be responsible for designing, developing, and deploying cutting-edge machine learning models and AI solutions that address complex business challenges. The ideal candidate will possess a profound understanding of various ML algorithms, deep learning frameworks, and statistical modeling techniques, with a strong background in data science and software engineering. You will lead a team of talented engineers and researchers, mentor junior members, and collaborate with product and engineering teams to integrate AI capabilities into our client's offerings. Proficiency in programming languages such as Python, R, and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) is essential. Your ability to translate business requirements into technical solutions, conduct rigorous experimentation, and communicate complex findings effectively to both technical and non-technical stakeholders will be crucial. We are looking for a visionary leader passionate about pushing the boundaries of AI and driving innovation, contributing to advancements that impact industries and applications across diverse sectors, including supporting initiatives in the **Nakuru, Nakuru, KE** region. Your technical leadership will define the next generation of intelligent solutions.
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0
Senior Data Scientist - Predictive Modeling
90123 Gathiruini
KES300000 Annually
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Posted 3 days ago
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Our client is looking for a highly analytical and innovative Senior Data Scientist to join their remote research and development team. This role is crucial for advancing our client's capabilities in predictive modeling and data-driven insights. You will be responsible for designing, developing, and deploying sophisticated machine learning models to solve complex business problems. The ideal candidate will possess a strong foundation in statistical analysis, machine learning algorithms, and programming, coupled with a passion for scientific discovery and innovation. Key Responsibilities:
- Design, develop, and implement advanced machine learning models for predictive analytics, forecasting, and anomaly detection.
- Collaborate with stakeholders across various departments to identify business challenges and opportunities for data science solutions.
- Perform data exploration, cleaning, and feature engineering on large, complex datasets.
- Select appropriate algorithms and statistical methods to address specific research questions and business objectives.
- Validate model performance, interpret results, and communicate findings effectively to both technical and non-technical audiences.
- Develop and maintain robust data pipelines for model training and deployment.
- Stay abreast of the latest research and advancements in data science, machine learning, and artificial intelligence.
- Contribute to the development of scalable data science infrastructure and tools.
- Mentor junior data scientists and contribute to the growth of the data science community within the organization.
- Document methodologies, code, and results thoroughly.
- Present research findings and recommendations to senior leadership and cross-functional teams.
- Identify new data sources and methodologies to enhance predictive capabilities.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Minimum of 5 years of experience in data science, with a strong focus on predictive modeling and machine learning.
- Proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
- Extensive experience with statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and validation techniques.
- Experience working with large datasets and distributed computing frameworks (e.g., Spark) is desirable.
- Strong understanding of data structures, algorithms, and software development best practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Ability to work independently and collaboratively in a remote research environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
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1
Junior Data Analyst - Predictive Modeling
30100 Tuwan
KES30000 Monthly
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Posted 3 days ago
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Our client is excited to offer a challenging Junior Data Analyst internship, focusing on predictive modeling and data-driven insights. This is a fully remote, entry-level opportunity designed for ambitious recent graduates eager to launch their careers in data science. As a Junior Data Analyst, you will work closely with senior data scientists and analysts, contributing to projects that involve data collection, cleaning, analysis, and visualization. You will assist in building and validating predictive models, identifying trends, and generating reports that support strategic decision-making. The role requires a strong foundation in statistical concepts, proficiency in SQL, and familiarity with programming languages such as Python or R. Experience with data visualization tools like Tableau or Power BI is a plus. You will be responsible for extracting and manipulating large datasets, performing exploratory data analysis, and communicating your findings effectively. This internship provides hands-on experience in a dynamic, fast-paced environment, allowing you to develop critical skills in data analysis and machine learning. Collaboration with team members and a willingness to learn are essential. You will be given the opportunity to contribute to real-world business problems, gaining invaluable practical experience. The ideal candidate is a motivated self-starter with a keen analytical mind and a passion for uncovering insights from data. Attention to detail and strong problem-solving abilities are key. This internship is a fantastic stepping stone for anyone aspiring to a career in data science or analytics. This is a remote position, enabling you to gain professional experience from anywhere. Although the role is nominally associated with **Eldoret, Uasin Gishu, KE**, it is a fully remote internship. We are looking for enthusiastic individuals ready to make a significant impact and learn from experienced professionals.
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2
Remote AI/ML Engineer - Predictive Modeling
30200 Tuwan
KES150000 Monthly
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Posted 3 days ago
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Are you at the forefront of artificial intelligence and machine learning, passionate about building sophisticated predictive models? Our client is seeking a highly skilled Remote AI/ML Engineer to join their innovative team. This is a fully remote position where you will leverage cutting-edge technologies to develop, implement, and deploy machine learning models that drive critical business decisions. You will work on challenging datasets, contribute to groundbreaking research, and collaborate with a team of world-class engineers and data scientists.
Responsibilities:
Qualifications:
This fully remote role offers the opportunity to work on transformative AI projects with a leading organization. Our client fosters a culture of innovation, continuous learning, and collaboration. Join a team that is shaping the future of artificial intelligence.
Responsibilities:
- Design, develop, and implement machine learning algorithms and predictive models for various applications.
- Process, clean, and transform large, complex datasets to prepare them for model training.
- Select appropriate machine learning techniques and algorithms based on project requirements.
- Train, evaluate, and optimize machine learning models for accuracy and performance.
- Deploy machine learning models into production environments, ensuring scalability and reliability.
- Collaborate with data engineers and software developers to integrate ML models into existing systems.
- Stay abreast of the latest research and advancements in AI and machine learning.
- Conduct experiments and feature engineering to improve model performance.
- Develop monitoring systems to track model performance in production and identify drift.
- Document model architectures, training processes, and results thoroughly.
- Present findings and model insights to technical and non-technical stakeholders.
- Contribute to the continuous improvement of the AI/ML platform and MLOps practices.
Qualifications:
- Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven experience in developing and deploying machine learning models in a production environment.
- Strong proficiency in programming languages such as Python, with extensive experience in libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
- Deep understanding of various machine learning algorithms (e.g., supervised, unsupervised, deep learning, reinforcement learning).
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities, comfortable working in a remote setting.
- Experience with data visualization tools.
- A portfolio of successful AI/ML projects is highly desirable.
This fully remote role offers the opportunity to work on transformative AI projects with a leading organization. Our client fosters a culture of innovation, continuous learning, and collaboration. Join a team that is shaping the future of artificial intelligence.
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3
Remote Senior AI/ML Engineer - Predictive Modeling
20100 Mwembe
KES220000 Annually
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Posted 3 days ago
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Our client is seeking a highly skilled and innovative Senior AI/ML Engineer with a specialization in Predictive Modeling to join their cutting-edge, fully remote research and development team. This pivotal role will be instrumental in designing, developing, and deploying advanced machine learning models that drive intelligent insights and solutions for complex business challenges. You will be responsible for the entire lifecycle of ML model development, from data acquisition and preprocessing to model training, validation, and deployment into production environments. The ideal candidate possesses a strong theoretical understanding of AI/ML algorithms, practical experience with major ML frameworks, and a proven ability to translate business requirements into effective predictive models.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement sophisticated machine learning models for predictive analytics, forecasting, and decision support.
- Collect, clean, preprocess, and engineer features from large, complex datasets.
- Train, evaluate, and optimize ML models using state-of-the-art algorithms and techniques (e.g., regression, classification, clustering, deep learning).
- Deploy ML models into production environments, ensuring scalability, reliability, and performance.
- Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and integrate ML solutions.
- Stay abreast of the latest advancements in AI/ML research, tools, and best practices.
- Develop and maintain robust MLOps pipelines for model monitoring, retraining, and version control.
- Communicate complex technical concepts and findings clearly and concisely to both technical and non-technical audiences.
- Mentor junior engineers and contribute to the team's technical growth and knowledge sharing.
- Ensure ethical considerations and data privacy are integrated into model development and deployment.
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML engineering, with a strong focus on predictive modeling.
- Proven experience building and deploying production-ready ML models.
- Expertise in programming languages such as Python, and proficiency with ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
- Strong understanding of statistical modeling, data mining, and algorithm development.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, essential for effective remote teamwork.
- Ability to work independently and manage complex projects in a fast-paced environment.
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4
Data Science and Machine Learning Apprentice
60100 Embu, Eastern
KES30000 Monthly
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Posted 3 days ago
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Are you passionate about uncovering insights from data and building intelligent systems? Our client is offering an exceptional remote apprenticeship opportunity for aspiring Data Scientists and Machine Learning Engineers. This program is designed for individuals with a foundational understanding of programming and mathematics who are eager to dive deep into the world of data analysis, predictive modeling, and artificial intelligence. As a remote apprentice, you will be an integral part of our innovative data science team, contributing to real-world projects under the guidance of experienced mentors. Your responsibilities will include data cleaning, feature engineering, building and evaluating machine learning models, and collaborating with cross-functional teams to deploy solutions. You will gain hands-on experience with various machine learning algorithms, statistical techniques, and data visualization tools. This is a unique chance to learn and grow in a supportive, collaborative, and entirely remote environment. The apprenticeship will cover essential topics such as supervised and unsupervised learning, deep learning frameworks, natural language processing, and big data technologies. You will be encouraged to explore new methodologies, contribute innovative ideas, and develop a strong portfolio of work. Our client is committed to fostering talent and providing a pathway for emerging professionals to develop into highly skilled data practitioners. Regular feedback sessions, coding challenges, and knowledge-sharing workshops will be part of your learning journey. Success in this role means not only acquiring technical skills but also developing critical thinking, problem-solving abilities, and effective communication in a remote setting. You will learn to translate complex data findings into actionable business recommendations. This role requires a strong self-starter attitude and the ability to manage your time effectively to meet project deadlines. Working remotely, you will be expected to actively participate in virtual team meetings and maintain open lines of communication with your mentors and colleagues. Embrace this opportunity to kickstart your career in a field that is shaping the future of technology and business.
What You'll Learn:
What You'll Learn:
- Data Preprocessing and Exploration
- Feature Engineering and Selection
- Supervised and Unsupervised Machine Learning Algorithms (e.g., Regression, Classification, Clustering)
- Model Evaluation and Tuning
- Introduction to Deep Learning Concepts
- Data Visualization and Storytelling
- Programming with Python (libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch)
- Big Data Technologies (exposure to platforms like Spark)
- Version Control (Git) and Collaboration Tools
- Best practices for remote collaboration and communication in a tech environment.
- Strong analytical and quantitative skills.
- Proficiency in at least one programming language, preferably Python.
- Understanding of basic statistics and calculus.
- A keen interest in data science, machine learning, and artificial intelligence.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and manage time effectively in a remote setting.
- Good communication skills, with the ability to explain technical concepts to a non-technical audience.
- Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering) or equivalent practical experience.
- Must be eligible to work remotely from Kenya.
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5
Data Science Apprentice
10100 Nyeri Town
KES50000 Monthly
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Posted 3 days ago
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Our client is offering an exciting opportunity for motivated individuals to join their Data Science Apprenticeship program. This is a fully remote, intensive training and development role designed to equip aspiring data scientists with the skills and knowledge needed to succeed in the field. As a Data Science Apprentice, you will work closely with experienced data scientists on real-world projects, gaining hands-on experience in data cleaning, analysis, machine learning model development, and data visualization. This program is ideal for individuals with a strong quantitative background and a passion for uncovering insights from data, aiming to contribute to projects that could impact businesses in **Nyeri, Nyeri, KE** and beyond.
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.
- Collaborate with senior data scientists to analyze data and extract meaningful insights.
- Create data visualizations and dashboards to communicate findings effectively.
- Learn and apply programming languages such as Python or R for data analysis and modeling.
- Participate in team meetings, contribute ideas, and learn from experienced professionals.
- Document code, methodologies, and project findings.
- Assist in testing and validating data models.
- Gain exposure to various data science tools and platforms.
- Develop a strong understanding of business problems and how data can provide solutions.
- Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, Physics, or a related discipline.
- Strong analytical and problem-solving skills.
- Basic understanding of programming concepts, preferably Python or R.
- Familiarity with basic statistical concepts.
- Excellent communication and teamwork skills.
- Eagerness to learn and a proactive attitude.
- Ability to work independently and manage tasks effectively in a remote environment.
- A genuine interest in data science and machine learning.
- Familiarity with data visualization tools is a plus.
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6
Data Science Intern
50301 Kakamega, Western
KES50000 Monthly
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Our client is excited to welcome ambitious and curious minds to our fully remote Graduate Data Science Internship program. This is an exceptional opportunity for aspiring data scientists to gain hands-on experience in a dynamic, supportive, and collaborative virtual environment. You will work alongside experienced data scientists and analysts, contributing to real-world projects that leverage data to drive business insights and innovation. The program is designed to provide a comprehensive learning experience, covering various aspects of the data science lifecycle, from data cleaning and exploration to model development and deployment.
As a Data Science Intern, you will be tasked with assisting in the collection, processing, and analysis of large datasets. You will help identify trends, patterns, and anomalies, and contribute to the development of predictive models and machine learning algorithms. Your responsibilities may include performing statistical analysis, building data visualizations to communicate findings, and documenting your work thoroughly. We encourage interns to ask questions, explore new methodologies, and bring fresh perspectives to our data challenges. You will have the opportunity to work with various tools and technologies used in the field, such as Python, R, SQL, and common data science libraries.
This internship is ideal for individuals who are passionate about data, possess strong analytical and problem-solving skills, and are eager to learn. While formal qualifications are less critical than potential and drive, a foundational understanding of statistics, programming, and data concepts would be beneficial. You will be expected to work independently, manage your time effectively, and communicate your progress and findings clearly. This role requires a proactive attitude, a willingness to embrace new challenges, and the ability to collaborate effectively within a remote team setting. Successful candidates will gain invaluable practical experience and exposure to cutting-edge data science practices, all while working from their chosen location.
Qualifications:
This program offers a unique chance to kickstart your career in data science with comprehensive remote mentorship and project involvement, regardless of your physical location in Kakamega, Kakamega, KE .
As a Data Science Intern, you will be tasked with assisting in the collection, processing, and analysis of large datasets. You will help identify trends, patterns, and anomalies, and contribute to the development of predictive models and machine learning algorithms. Your responsibilities may include performing statistical analysis, building data visualizations to communicate findings, and documenting your work thoroughly. We encourage interns to ask questions, explore new methodologies, and bring fresh perspectives to our data challenges. You will have the opportunity to work with various tools and technologies used in the field, such as Python, R, SQL, and common data science libraries.
This internship is ideal for individuals who are passionate about data, possess strong analytical and problem-solving skills, and are eager to learn. While formal qualifications are less critical than potential and drive, a foundational understanding of statistics, programming, and data concepts would be beneficial. You will be expected to work independently, manage your time effectively, and communicate your progress and findings clearly. This role requires a proactive attitude, a willingness to embrace new challenges, and the ability to collaborate effectively within a remote team setting. Successful candidates will gain invaluable practical experience and exposure to cutting-edge data science practices, all while working from their chosen location.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Foundational knowledge of programming languages such as Python or R.
- Basic understanding of statistical concepts and machine learning principles.
- Familiarity with data manipulation and analysis tools (e.g., SQL, Pandas).
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to work independently and manage tasks effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- A genuine interest in data and its applications.
This program offers a unique chance to kickstart your career in data science with comprehensive remote mentorship and project involvement, regardless of your physical location in Kakamega, Kakamega, KE .
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7
Remote AI Solutions Architect - Machine Learning & Data Science
60200 Meru , Eastern
KES950000 Annually
WhatJobs
Posted 3 days ago
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Our client, a forward-thinking company at the forefront of AI & Emerging Technologies, is seeking a highly skilled and innovative Remote AI Solutions Architect specializing in Machine Learning and Data Science. This fully remote position empowers you to design and implement cutting-edge AI solutions from anywhere within Kenya. You will be responsible for translating complex business requirements into scalable and robust AI architectures, leading the development of machine learning models, and advising clients on the strategic application of AI technologies. The ideal candidate possesses a deep technical expertise in AI/ML, strong architectural design skills, and excellent client-facing communication.
Key Responsibilities:
Key Responsibilities:
- Design and architect end-to-end AI and Machine Learning solutions tailored to client needs, leveraging cloud platforms and best practices.
- Lead the development, training, and deployment of various machine learning models, including supervised, unsupervised, and deep learning algorithms.
- Collaborate closely with data scientists, engineers, and business stakeholders to define project scope, technical requirements, and success criteria.
- Evaluate and select appropriate AI/ML tools, frameworks, and technologies for specific project requirements.
- Develop and maintain comprehensive technical documentation, including architecture diagrams, API specifications, and deployment guides.
- Provide technical leadership and guidance throughout the project lifecycle, from conceptualization to production deployment.
- Stay abreast of the latest advancements in AI, Machine Learning, and related emerging technologies.
- Troubleshoot and resolve complex technical issues related to AI model performance and system integration.
- Communicate technical concepts effectively to both technical and non-technical audiences.
- Contribute to the development of reusable AI components and best practices within the organization.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
- Minimum of 10 years of experience in software engineering, with a significant focus (minimum 6 years) on designing and implementing AI/ML solutions.
- Proven expertise in machine learning algorithms, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python, R, or Scala, and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Excellent understanding of data architecture, data pipelines, and MLOps principles.
- Demonstrated ability to translate business problems into scalable AI solutions.
- Exceptional problem-solving, analytical, and architectural design skills.
- Strong communication and presentation skills, with the ability to influence technical and business leaders.
- Ability to work independently and collaboratively in a remote team environment.
- Must have a reliable internet connection and a dedicated professional workspace.
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