178 Predictive Analytics jobs in Kenya
Senior Data Scientist - Predictive Analytics
80100 Nairobi, Nairobi
KES200000 Annually
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Our client is actively seeking a highly skilled Senior Data Scientist to spearhead predictive analytics initiatives within their research and development division, operating on a fully remote basis. This critical role involves leveraging advanced statistical modeling, machine learning algorithms, and big data technologies to derive actionable insights and drive strategic decision-making. You will be responsible for developing, testing, and deploying predictive models to forecast trends, identify patterns, and optimize business processes. Key responsibilities include data preprocessing, feature engineering, model selection, hyperparameter tuning, and performance evaluation across large and complex datasets. Collaboration with cross-functional teams, including product managers, engineers, and business analysts, to understand data needs and translate them into analytical solutions is essential. You will also mentor junior data scientists and contribute to the development of best practices in data science. The ideal candidate will possess a Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field, with extensive experience in data science and predictive modeling. Proficiency in programming languages such as Python or R, and extensive experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and big data platforms (e.g., Spark, Hadoop) are required. Strong SQL skills and experience with cloud platforms (AWS, Azure, GCP) are highly beneficial. We seek candidates with exceptional analytical, problem-solving, and communication skills, capable of translating complex findings into clear, actionable recommendations for both technical and non-technical audiences. This is a fully remote position, requiring self-discipline, strong collaboration skills within a virtual team, and the ability to manage projects autonomously. If you are a visionary data scientist passionate about unlocking the power of data through predictive analytics and eager to contribute to cutting-edge research remotely, we encourage you to apply.
Location: Mombasa, Mombasa, KE
Location: Mombasa, Mombasa, KE
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0
AI/ML Engineer - Predictive Analytics
30100 Kitale, Rift Valley
KES400000 Annually
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Our client, a cutting-edge technology firm specializing in AI and emerging technologies, is seeking a talented AI/ML Engineer with a focus on predictive analytics to join their innovative team. This is a fully remote position offering the chance to work on groundbreaking projects that leverage artificial intelligence to solve complex business challenges. You will be responsible for designing, developing, and deploying machine learning models that drive intelligent decision-making.
Key responsibilities include data preprocessing, feature engineering, and building robust machine learning models for tasks such as forecasting, classification, and anomaly detection. You will evaluate model performance, optimize algorithms, and implement scalable ML solutions in production environments. This role requires staying abreast of the latest advancements in AI and machine learning, researching new techniques, and experimenting with novel approaches. Collaboration with data scientists, software engineers, and product managers to integrate ML capabilities into existing platforms and develop new AI-powered products is essential. You will also be involved in communicating complex technical findings to both technical and non-technical stakeholders.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field, or equivalent practical experience. Proven experience in developing and deploying machine learning models, particularly in predictive analytics, is a must. Strong programming skills in Python and proficiency with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) are required. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Excellent analytical, problem-solving, and communication skills are essential. The ability to work autonomously and collaboratively in a remote team setting is critical for success in this role. Join a dynamic team at the forefront of AI innovation and shape the future of technology.
Key responsibilities include data preprocessing, feature engineering, and building robust machine learning models for tasks such as forecasting, classification, and anomaly detection. You will evaluate model performance, optimize algorithms, and implement scalable ML solutions in production environments. This role requires staying abreast of the latest advancements in AI and machine learning, researching new techniques, and experimenting with novel approaches. Collaboration with data scientists, software engineers, and product managers to integrate ML capabilities into existing platforms and develop new AI-powered products is essential. You will also be involved in communicating complex technical findings to both technical and non-technical stakeholders.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field, or equivalent practical experience. Proven experience in developing and deploying machine learning models, particularly in predictive analytics, is a must. Strong programming skills in Python and proficiency with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) are required. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Excellent analytical, problem-solving, and communication skills are essential. The ability to work autonomously and collaboratively in a remote team setting is critical for success in this role. Join a dynamic team at the forefront of AI innovation and shape the future of technology.
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Senior AI/ML Engineer, Predictive Analytics
30100 Moiben
KES400000 Annually
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Our client is at the forefront of technological innovation and is seeking a highly skilled Senior AI/ML Engineer specializing in Predictive Analytics. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking projects that leverage artificial intelligence and machine learning to solve complex business challenges. You will be responsible for designing, developing, and deploying sophisticated machine learning models and AI solutions.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, train, and deploy advanced machine learning models for predictive analytics, forecasting, and classification tasks.
- Collaborate with data scientists, engineers, and business stakeholders to understand data needs and define project objectives.
- Process, clean, and transform large datasets for model training and evaluation.
- Implement feature engineering techniques to enhance model performance.
- Evaluate model performance using appropriate metrics and techniques, iterating for improvement.
- Deploy machine learning models into production environments, ensuring scalability and reliability.
- Develop and maintain MLOps pipelines for model monitoring, retraining, and version control.
- Stay current with the latest research and advancements in AI, machine learning, and deep learning.
- Communicate complex technical concepts and findings to both technical and non-technical audiences.
- Contribute to the development of AI strategy and roadmap for the organization.
- Mentor junior engineers and contribute to the growth of the AI/ML team.
- Ensure ethical considerations and bias mitigation are incorporated into AI development.
Qualifications:
- Master's or PhD in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 5 years of experience in AI/ML engineering, with a strong focus on predictive modeling.
- Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
- Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Strong software engineering skills, including experience with version control (Git) and CI/CD practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work independently and collaboratively in a remote, fast-paced environment.
- Strong communication and presentation skills.
- Must be based in Kenya and eligible to work remotely.
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2
Lead AI Research Scientist - Predictive Analytics
00200 Njiru Village
KES1200000 Annually
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Our client, a cutting-edge technology firm at the forefront of AI innovation, is looking for an exceptional Lead AI Research Scientist specializing in predictive analytics. This role is critical to developing and implementing sophisticated machine learning models that drive business intelligence and strategic decision-making across various sectors. As a fully remote position, you will collaborate with a world-class team of data scientists, engineers, and domain experts, contributing to projects that push the boundaries of artificial intelligence.
Responsibilities:
Qualifications:
Responsibilities:
- Conceptualize, develop, and implement advanced machine learning algorithms for predictive modeling and forecasting.
- Conduct rigorous research into new AI techniques and methodologies, particularly in areas such as deep learning, natural language processing, and reinforcement learning, to enhance predictive capabilities.
- Lead and mentor a team of AI researchers and data scientists in developing and deploying production-ready AI solutions.
- Analyze large, complex datasets to identify patterns, trends, and actionable insights for predictive applications.
- Design and execute experiments to validate model performance and identify areas for improvement.
- Collaborate with product and engineering teams to integrate AI models into existing and new platforms.
- Stay abreast of the latest advancements in AI and machine learning, and translate research findings into practical applications.
- Communicate complex technical concepts and results clearly to both technical and non-technical stakeholders through presentations and written reports.
- Contribute to the company's intellectual property through publications, patents, and open-source contributions.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Statistics, Mathematics, or a related quantitative field.
- Proven track record (5+ years) of research and development in AI and machine learning, with a focus on predictive analytics.
- Strong expertise in programming languages such as Python and libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas.
- Deep understanding of various machine learning algorithms, statistical modeling techniques, and data mining methodologies.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong leadership and team management capabilities.
- Exceptional communication and collaboration skills, essential for a remote team environment.
- A portfolio of published research or contributions to significant AI projects is highly desirable.
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3
Geophysicist - Seismic Data Analysis
20100 Mwembe
KES180000 Annually
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Our client, a leading player in the oil and gas exploration sector, is seeking an experienced Geophysicist to join their team based in **Nakuru, Nakuru, KE**. This position is critical for analyzing seismic data to identify potential hydrocarbon reserves. The ideal candidate will possess a strong background in geological sciences, expertise in seismic interpretation and data processing, and a proven track record in the upstream oil and gas industry. You will be responsible for acquiring, processing, and interpreting seismic data to generate subsurface models, evaluate geological formations, and provide crucial insights for exploration and development activities. This role requires on-site presence for direct collaboration with geologists, reservoir engineers, and drilling teams.
Key Responsibilities:
Qualifications:
Join a company at the forefront of energy innovation and contribute to vital exploration efforts.
Key Responsibilities:
- Acquire, process, and interpret 2D and 3D seismic data for exploration and development projects.
- Utilize advanced geophysical software (e.g., Petrel, OpendTect) for data analysis and interpretation.
- Develop seismic interpretation workflows and quality control procedures.
- Integrate seismic data with other geological and engineering data (well logs, core data, production data).
- Identify and delineate potential hydrocarbon reservoirs and prospects.
- Perform seismic attribute analysis, velocity modeling, and seismic inversion.
- Collaborate with geologists and reservoir engineers to build integrated subsurface models.
- Prepare technical reports and presentations for management and joint venture partners.
- Provide geophysical support for drilling operations and well planning.
- Stay abreast of new geophysical technologies and methodologies.
Qualifications:
- Master's or Ph.D. degree in Geophysics, Geology, or a related Earth Science discipline.
- Minimum of 5 years of experience in geophysical exploration, with a focus on seismic data interpretation.
- Proficiency in seismic data processing and interpretation software.
- Strong understanding of seismic acquisition techniques and data quality assessment.
- Experience with basin analysis and structural geology.
- Excellent analytical and problem-solving skills.
- Ability to work effectively in a multidisciplinary team environment.
- Strong written and verbal communication skills.
- Familiarity with Kenyan geological settings and basins is an advantage.
- Willingness to work on-site in Nakuru.
Join a company at the forefront of energy innovation and contribute to vital exploration efforts.
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4
Graduate Trainee - Data Analysis
30200 Kitale, Rift Valley
KES50000 month
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Our client is offering an exciting opportunity for ambitious and intellectually curious recent graduates to join their team as Graduate Trainees in Data Analysis. This is a fully remote program, providing hands-on experience and comprehensive training in the field of data science and analytics. As a Graduate Trainee, you will work closely with experienced data analysts and scientists, contributing to real-world projects. Your responsibilities will include data collection, cleaning, processing, and performing initial exploratory data analysis. You will assist in developing data models, generating reports, and creating visualizations to communicate insights effectively. This role requires a strong analytical mindset, proficiency in at least one programming language (e.g., Python, R), and familiarity with database management (SQL). The ideal candidate is a quick learner, detail-oriented, and possesses excellent problem-solving skills. You will gain exposure to various analytical techniques and tools, developing a strong foundation for a career in data analysis. This program is designed to foster talent and provide a clear career path within the company. We are looking for individuals who are eager to learn, contribute to a collaborative remote team environment, and are passionate about leveraging data to drive business decisions. Successful candidates will receive mentorship and ongoing support to excel in their roles and contribute meaningfully to our client's data initiatives. This is an exceptional chance to launch your career in a rapidly growing and in-demand field.
Responsibilities:
Responsibilities:
- Assist in the collection, cleaning, and organization of large datasets.
- Perform exploratory data analysis to identify trends and patterns.
- Support the development and implementation of data models and algorithms.
- Create data visualizations and reports to communicate findings.
- Collaborate with senior analysts on data-related projects.
- Learn and apply various data analysis techniques and tools.
- Contribute to maintaining data integrity and accuracy.
- Participate in team meetings and provide insights during discussions.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and quantitative skills.
- Proficiency in at least one programming language (e.g., Python, R).
- Familiarity with SQL and database concepts.
- Basic understanding of data visualization tools (e.g., Tableau, Power BI).
- Excellent problem-solving abilities and attention to detail.
- Strong communication and teamwork skills.
- Eagerness to learn and adapt in a remote work environment.
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5
Remote Geologist - Data Analysis
00100 Abothuguchi West
KES180000 Annually
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Posted 2 days ago
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Our client, a leading player in the mining sector, is seeking a highly skilled and analytical Remote Geologist specializing in data analysis. This is a fully remote position, allowing you to contribute your expertise from any location. You will be instrumental in analyzing vast geological datasets, including geophysical surveys, drill core logs, and geochemical analyses, to identify mineralized zones and support exploration and resource estimation efforts. Your responsibilities will include developing and implementing data processing workflows, performing statistical analysis, creating geological models, and generating insightful reports and visualizations for project stakeholders. Proficiency in geological software packages (e.g., Leapfrog, ArcGIS, Vulcan) and data analysis tools (e.g., Python, R) is essential. You will work closely with exploration teams to provide data-driven recommendations and contribute to the strategic planning of exploration programs. The ideal candidate will possess a strong understanding of geological principles, structural geology, and mineral deposit types. Excellent problem-solving skills, attention to detail, and the ability to communicate complex technical information clearly and concisely are paramount. This role offers a unique opportunity to work on diverse geological projects from the comfort of your home office, leveraging cutting-edge technology and contributing to significant discoveries within the global mining industry. If you are a proactive geoscientist passionate about unlocking the earth's resources through advanced data interpretation, this remote opportunity is for you. Join a forward-thinking team dedicated to innovation and excellence in geological exploration.
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6
Graduate Trainee - Data Analysis
20117 Moiben
KES40000 month
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Posted 2 days ago
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Our client is seeking enthusiastic and bright Graduate Trainees to join our dedicated team, focusing on data analysis. This is an exceptional opportunity for recent graduates to launch their careers in a challenging and supportive environment. You will be immersed in real-world projects, gaining hands-on experience in collecting, cleaning, interpreting, and visualizing data to derive meaningful insights. Key responsibilities will include assisting senior analysts in data extraction and manipulation, performing statistical analyses, identifying trends and patterns, and contributing to the preparation of reports and presentations. You will learn to use various data analysis tools and techniques, develop critical thinking skills, and understand how data drives business decisions. The ideal candidate will have a recent degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field. A strong analytical mindset, attention to detail, and a genuine interest in data are essential. Proficiency in Microsoft Excel is required, and familiarity with data visualization tools (e.g., Tableau, Power BI) or statistical software (e.g., R, Python) is a significant advantage. We are looking for proactive individuals eager to learn and contribute, who can work effectively as part of a team. This role requires you to be based at our offices to facilitate direct mentorship and collaboration. Our client is committed to fostering talent and providing a stimulating learning experience. We encourage applications from all qualified individuals.
Key Responsibilities:
Key Responsibilities:
- Assist in the collection, cleaning, and organization of data from various sources.
- Perform basic statistical analyses to identify trends, patterns, and anomalies.
- Help in the creation of data visualizations and reports to communicate findings.
- Support senior analysts in data-driven decision-making processes.
- Learn and apply data analysis tools and methodologies.
- Contribute to projects focused on improving data quality and accessibility.
- Participate in team meetings and brainstorming sessions.
- Develop foundational skills in data interpretation and business intelligence.
- Assist with ad-hoc data requests and analysis.
- Gain exposure to different business functions through data projects.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving abilities.
- Attention to detail and accuracy in data handling.
- Proficiency in Microsoft Excel.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) or statistical software (R, Python) is a plus.
- Eagerness to learn and develop new skills in data analysis.
- Ability to work effectively in a team environment.
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7
Graduate Trainee - Data Analysis
80101 Nairobi, Nairobi
KES30000 month
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Posted 3 days ago
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Our client is launching an exciting Graduate Trainee program focused on Data Analysis and is seeking ambitious, motivated individuals for this fully remote opportunity. This program is designed to provide recent graduates with comprehensive training and hands-on experience in data interpretation, visualization, and insight generation. As a Graduate Trainee, you will work closely with experienced data analysts and scientists, contributing to real-world projects and developing essential skills in statistical analysis, programming, and business intelligence tools. You will learn to extract, clean, and analyze large datasets to identify trends, patterns, and actionable insights that inform business decisions. Key responsibilities will include assisting in the development of reports and dashboards, performing data validation, and contributing to data-driven recommendations. The ideal candidate possesses a strong quantitative aptitude, a curious mind, and a passion for data. This internship offers a unique chance to kick-start your career in a rapidly growing field within a supportive and dynamic remote environment. Our client is committed to fostering talent and providing a structured learning pathway.
Responsibilities:
Qualifications:
Responsibilities:
- Assist senior data analysts in collecting, cleaning, and organizing datasets from various sources.
- Perform data analysis using statistical methods and tools to identify trends and patterns.
- Help create and maintain reports and interactive dashboards for business stakeholders.
- Support the development of data models and visualizations.
- Conduct quality assurance checks on data to ensure accuracy and integrity.
- Learn and apply various data analysis techniques and software.
- Collaborate with team members in a virtual environment to contribute to project goals.
- Assist in documenting data processes and findings.
- Participate in training sessions and team meetings to enhance skills and knowledge.
- Contribute to ad-hoc data analysis requests as needed.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and analytical techniques.
- Familiarity with data analysis tools and programming languages such as Python (Pandas, NumPy) or R is a plus.
- Knowledge of SQL for data retrieval and manipulation is advantageous.
- Excellent analytical and problem-solving skills.
- Meticulous attention to detail and commitment to data accuracy.
- Good communication and collaboration skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Genuine interest in data analysis and its application in business.
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8
Graduate Trainee - Data Analysis
90100 Moiben
KES40000 month
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Posted 4 days ago
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Job Description
Are you a recent graduate with a passion for data and analytics? Our client is offering an exciting Graduate Trainee opportunity in Data Analysis. This is a fully remote position, providing invaluable hands-on experience in a dynamic business environment. You will work closely with experienced data scientists and analysts to learn and apply various data analysis techniques, including data cleaning, transformation, visualization, and interpretation. Your responsibilities will include assisting in the development of reports and dashboards, identifying trends and patterns in data, and contributing to data-driven decision-making processes. This internship is designed to provide a comprehensive understanding of the data analysis lifecycle, from data collection to insight generation. You will gain exposure to industry-standard tools and software, enhancing your technical skill set. The ideal candidate is a highly motivated individual with strong quantitative and analytical skills, excellent attention to detail, and a proactive learning attitude. A degree in a quantitative field such as statistics, mathematics, computer science, economics, or a related discipline is required. Familiarity with programming languages like Python or R, and data visualization tools like Tableau or Power BI, would be a significant advantage. This is a fantastic opportunity to launch your career in data analytics within a supportive and fully remote setting. Join us and transform raw data into actionable insights.
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