2,290 Predictive Analytics jobs in Kenya
Junior Data Scientist - Predictive Analytics
Posted 19 days ago
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Job Description
Join a forward-thinking organization as a Junior Data Scientist, focusing on predictive analytics within our fully remote team. This is an exceptional opportunity for recent graduates with a strong foundation in statistics, machine learning, and data manipulation to launch their careers. You will work closely with senior data scientists and business stakeholders to extract, clean, and analyze large datasets, build predictive models, and translate complex findings into actionable business insights. The role emphasizes learning and development, providing exposure to diverse projects and cutting-edge technologies in a supportive virtual environment.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in the collection, cleaning, and pre-processing of large and complex datasets from various sources.
- Develop and implement statistical models and machine learning algorithms for predictive analysis, classification, and clustering.
- Perform exploratory data analysis to identify trends, patterns, and correlations.
- Collaborate with senior data scientists to validate model performance and refine analytical approaches.
- Create data visualizations and reports to communicate findings effectively to both technical and non-technical audiences.
- Contribute to the development of data-driven solutions that address business challenges and opportunities.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
- Participate in code reviews and contribute to the maintenance of robust data science pipelines.
- Assist in the documentation of data sources, methodologies, and model results.
- Engage in continuous learning and skill development through online courses, workshops, and team knowledge sharing sessions.
- Work collaboratively with a remote team, ensuring clear communication and project alignment.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a closely related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering, time series analysis).
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn, Plotly).
- Familiarity with SQL for database querying.
- Strong analytical and problem-solving skills with meticulous attention to detail.
- Excellent communication and collaboration skills, especially in a remote team setting.
- Self-motivated, eager to learn, and capable of working independently.
- A portfolio of data science projects (e.g., GitHub repository) is highly desirable.
- Must have reliable internet connectivity and a suitable remote work environment.
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Graduate Data Scientist - Predictive Analytics
Posted 19 days ago
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Job Description
Our client, a dynamic and data-driven financial services firm, is actively recruiting ambitious Graduate Data Scientists to join their innovative, fully remote analytics team. This entry-level position provides an outstanding opportunity for recent graduates to apply their academic knowledge in a real-world setting, contributing to critical business decisions through predictive modeling and data analysis. You will work under the guidance of experienced data scientists and mentors, assisting in the collection, cleaning, and preprocessing of large datasets, developing and validating statistical models, and generating insights to drive business strategy. Responsibilities include performing exploratory data analysis, building machine learning models for forecasting and classification tasks, conducting A/B tests, visualizing data to communicate findings effectively, and contributing to the development of data-driven products and services. The ideal candidate will have recently completed a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline, with a strong academic record. Proficiency in programming languages like Python or R, along with experience using data analysis and machine learning libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch), is essential. Familiarity with SQL for data querying and manipulation is required. Strong analytical and problem-solving skills, attention to detail, and excellent communication abilities are vital. While this is a graduate role, prior internship or research experience in data science or analytics is a significant advantage. This is a fantastic chance to kickstart your career in data science within a supportive, remote work environment, learning from industry experts and contributing to impactful projects from day one. If you are passionate about uncovering patterns in data and building intelligent systems, we want to hear from you. Join us in leveraging the power of data to transform financial services.
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Apprentice Data Scientist - Predictive Analytics
Posted 12 days ago
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Job Description
Our client is offering an exceptional opportunity for aspiring data scientists to join their dynamic team as an Apprentice Data Scientist. This fully remote apprenticeship is designed to provide comprehensive training and hands-on experience in the field of predictive analytics. You will work alongside experienced data scientists, learning to leverage machine learning algorithms and statistical modeling to derive actionable insights from complex datasets. This role is ideal for individuals with a strong foundational understanding of mathematics and statistics, a passion for problem-solving, and a keen interest in technology. You will be exposed to the entire data science lifecycle, from data cleaning and preprocessing to model development, evaluation, and deployment. The apprenticeship emphasizes continuous learning and development, with opportunities to work on real-world projects that impact business strategy. Success in this role will require a proactive attitude, excellent analytical skills, and the ability to communicate technical concepts effectively. The position is fully remote, fostering a collaborative and flexible work environment. The focus is on building practical skills and contributing to innovative data-driven solutions. You will gain exposure to various industry sectors, understanding how data science can drive efficiency and innovation.
Responsibilities:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Support the development and implementation of machine learning models under the guidance of senior data scientists.
- Perform exploratory data analysis to identify trends and patterns.
- Contribute to the evaluation and validation of model performance.
- Assist in generating reports and visualizations to communicate findings to stakeholders.
- Learn and apply various data science tools and programming languages (e.g., Python, R, SQL).
- Participate in team meetings and contribute to project discussions.
- Stay updated with the latest developments in data science and machine learning.
- Document methodologies and processes clearly and concisely.
- Collaborate effectively with remote team members.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in at least one programming language (e.g., Python, R).
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies.
- Basic knowledge of SQL is a plus.
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Lead Data Scientist - Predictive Analytics
Posted 19 days ago
Job Viewed
Job Description
Our client is a global leader in the mining sector, pioneering innovative technologies and sustainable practices. We are seeking a highly accomplished Lead Data Scientist to spearhead our advanced analytics initiatives. In this fully remote role, you will be at the forefront of leveraging vast datasets to extract actionable insights, build predictive models, and drive significant improvements in operational efficiency, resource discovery, and safety across our international operations. You will lead a team of talented data scientists and collaborate closely with geologists, engineers, and operational managers to translate complex data challenges into data-driven solutions.
Your responsibilities will include developing and implementing sophisticated machine learning algorithms for tasks such as ore grade prediction, equipment failure forecasting, and geological anomaly detection. You will oversee the end-to-end data science lifecycle, from data acquisition and preprocessing to model deployment and monitoring. A crucial part of this role involves defining the roadmap for data science within the organization, identifying new opportunities for data utilization, and championing data literacy across departments. You will be expected to mentor and guide junior data scientists, foster a culture of innovation, and ensure the highest standards of analytical rigor and ethical data use. This role demands exceptional technical expertise, strong leadership qualities, and the ability to communicate complex findings to both technical and non-technical audiences. As a remote position, you will have the flexibility to work from anywhere, but must be available for frequent virtual collaboration.
Qualifications:
Your responsibilities will include developing and implementing sophisticated machine learning algorithms for tasks such as ore grade prediction, equipment failure forecasting, and geological anomaly detection. You will oversee the end-to-end data science lifecycle, from data acquisition and preprocessing to model deployment and monitoring. A crucial part of this role involves defining the roadmap for data science within the organization, identifying new opportunities for data utilization, and championing data literacy across departments. You will be expected to mentor and guide junior data scientists, foster a culture of innovation, and ensure the highest standards of analytical rigor and ethical data use. This role demands exceptional technical expertise, strong leadership qualities, and the ability to communicate complex findings to both technical and non-technical audiences. As a remote position, you will have the flexibility to work from anywhere, but must be available for frequent virtual collaboration.
Qualifications:
- Ph.D. or Master's degree in Data Science, Statistics, Computer Science, or a quantitative field.
- 10+ years of experience in data science, with a significant portion in the mining or resource extraction industry.
- Proven track record of leading data science projects and teams.
- Expertise in machine learning, deep learning, statistical modeling, and data mining techniques.
- Proficiency in Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of geological and mining operations is highly desirable.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences.
- Demonstrated ability to work independently and effectively in a remote, global team environment.
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Remote Junior Data Scientist - Predictive Analytics
Posted 16 days ago
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Job Description
Our client, a cutting-edge technology firm focused on leveraging data to drive business intelligence and strategic decision-making, is seeking an ambitious and technically adept Junior Data Scientist to join their fully remote analytics team. This role offers an exceptional opportunity for a recent graduate or early-career professional to gain hands-on experience in building and deploying predictive models, analyzing complex datasets, and contributing to data-driven insights. You will work closely with senior data scientists and business stakeholders, developing your skills in a collaborative and forward-thinking environment.
Responsibilities:
Qualifications:
This is an outstanding entry-level opportunity for motivated individuals passionate about data science to launch their careers in a fully remote setting. If you are eager to apply your academic knowledge to real-world challenges and contribute to innovative data solutions, we encourage you to apply.
Responsibilities:
- Assist in the development, implementation, and validation of machine learning models for predictive analytics.
- Clean, transform, and preprocess large, complex datasets to prepare them for analysis and modeling.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies within datasets.
- Support the design and execution of A/B tests and other experiments to evaluate model performance and business impact.
- Visualize data and model results using various tools and techniques to communicate findings effectively.
- Collaborate with senior data scientists to understand project requirements and contribute to the overall analytical approach.
- Document methodologies, code, and findings thoroughly to ensure reproducibility and knowledge sharing.
- Stay up-to-date with the latest advancements in data science, machine learning, and statistical modeling.
- Participate in team meetings and contribute to discussions on data strategy and analytical approaches.
- Assist in the deployment and monitoring of predictive models in production environments.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Strong foundational knowledge of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Familiarity with SQL for database querying.
- Excellent problem-solving skills and a keen analytical mindset.
- Strong communication skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work independently, manage time effectively, and contribute as part of a remote team.
- A genuine passion for data and a desire to learn and grow in the field of data science.
- Previous internship or project experience in data analysis or machine learning is a plus.
This is an outstanding entry-level opportunity for motivated individuals passionate about data science to launch their careers in a fully remote setting. If you are eager to apply your academic knowledge to real-world challenges and contribute to innovative data solutions, we encourage you to apply.
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Remote Data Scientist - Predictive Analytics
Posted 18 days ago
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Job Description
WhatJobs is seeking a highly skilled and innovative Remote Data Scientist to join our advanced analytics team. This is a fully remote position, allowing you to leverage your expertise in data modeling and statistical analysis from anywhere. You will be responsible for designing, developing, and deploying sophisticated predictive models to drive business insights and strategic decision-making. The ideal candidate will possess a strong foundation in machine learning, statistical modeling, and data manipulation, with a proven ability to communicate complex findings to diverse audiences in a remote setting.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop, train, and evaluate machine learning models for various business applications, including forecasting, classification, and anomaly detection.
- Clean, transform, and prepare large datasets from multiple sources for analysis and modeling.
- Identify key business questions and translate them into data-driven analytical approaches.
- Design and implement A/B tests and other experimental designs to measure the impact of initiatives.
- Collaborate closely with product managers, engineers, and business stakeholders to understand data needs and deliver actionable insights.
- Visualize and communicate complex analytical findings and model results effectively to both technical and non-technical audiences.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
- Build and maintain data pipelines and automated reporting dashboards.
- Ensure the ethical and responsible use of data and models.
- Contribute to the development of the company's data strategy and best practices.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Minimum of 5 years of experience as a Data Scientist or in a similar analytical role.
- Proven experience in building and deploying predictive models using machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Proficiency in programming languages commonly used in data science, such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical concepts, experimental design, and data mining techniques.
- Experience with SQL and working with large databases.
- Excellent data visualization skills using tools like Matplotlib, Seaborn, Tableau, or Power BI.
- Strong communication, presentation, and interpersonal skills, essential for remote collaboration.
- Ability to work independently, manage time effectively, and deliver high-quality results.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Senior Data Scientist, Predictive Analytics
Posted 19 days ago
Job Viewed
Job Description
Our client, a forward-thinking financial services organization, is actively seeking a talented and experienced Senior Data Scientist to join their fully remote analytics team. This role is pivotal in leveraging advanced statistical and machine learning techniques to develop predictive models that drive key business decisions and enhance customer experiences. You will work with large, complex datasets, transforming raw data into actionable insights. The ideal candidate possesses a strong background in data mining, statistical modeling, machine learning algorithms, and data visualization, coupled with a proven ability to communicate complex findings to both technical and non-technical stakeholders. This is a remote-first position, demanding self-motivation, strong problem-solving skills, and a commitment to collaborative virtual teamwork. You will be responsible for the entire data science lifecycle, from data acquisition and cleaning to model development, validation, and deployment. Experience with cloud platforms and big data technologies is highly advantageous. Your contributions will directly impact product development, risk management, and operational efficiency. As a remote professional, you'll need excellent organizational skills and the ability to manage your workload effectively while staying connected with your team through various digital collaboration tools. The role, associated with **Nakuru, Nakuru, KE**, will be executed entirely remotely, offering flexibility and a broad scope of impact.
Responsibilities:
Responsibilities:
- Design, develop, and implement advanced statistical and machine learning models to solve complex business problems.
- Clean, transform, and prepare large datasets for analysis and modeling.
- Identify patterns, trends, and insights from data to inform strategic initiatives.
- Evaluate and validate model performance, making necessary adjustments for optimization.
- Collaborate with engineering and product teams to deploy models into production environments.
- Communicate findings and recommendations effectively to business leaders and technical teams.
- Stay current with the latest advancements in data science, machine learning, and AI.
- Mentor junior data scientists and contribute to the team's knowledge sharing.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 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 libraries like scikit-learn, TensorFlow, or PyTorch.
- Experience with SQL and NoSQL databases.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Strong understanding of statistical concepts and data mining techniques.
- Excellent problem-solving and critical thinking skills.
- Ability to work independently and collaboratively in a remote setting.
- Strong communication and presentation skills.
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6
Remote Lead Data Scientist - Predictive Analytics
Posted 19 days ago
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Job Description
Our client, a pioneering analytics firm dedicated to driving business growth through data intelligence, is seeking an accomplished Lead Data Scientist to spearhead our remote-first data science initiatives. This position offers the unparalleled flexibility to lead groundbreaking projects from anywhere in the world. You will be responsible for developing advanced predictive models, driving data-driven decision-making across various business functions, and mentoring a team of talented data scientists. Your insights will directly impact strategic planning and operational efficiency, leveraging sophisticated machine learning techniques and big data technologies.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the development and implementation of predictive models and machine learning algorithms to solve complex business problems.
- Design and execute advanced statistical analyses and experiments to extract actionable insights from large datasets.
- Collaborate with business stakeholders to understand their needs and translate them into data science projects.
- Mentor and guide junior data scientists, fostering best practices in modeling, validation, and deployment.
- Evaluate and select appropriate machine learning techniques, tools, and platforms.
- Develop and maintain robust data pipelines for model training and inference.
- Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences.
- Stay abreast of the latest research and advancements in data science, machine learning, and artificial intelligence.
- Contribute to the development of data strategy and roadmap for the organization.
- Ensure the ethical and responsible use of data in all analytical endeavors.
- Collaborate with data engineers and software developers to deploy models into production environments.
Qualifications:
- Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 7 years of progressive experience in data science, with a strong track record in predictive modeling and machine learning.
- Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
- Proficiency in programming languages commonly used in data science, such as Python or R, and associated libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Experience with big data technologies (e.g., Spark, Hadoop) and database querying (SQL).
- Strong understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and leadership skills, with the ability to guide and inspire a remote team.
- Proven ability to manage complex data science projects from conception to completion.
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7
Senior AI & Machine Learning Engineer - Predictive Analytics
Posted 9 days ago
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Job Description
Our client, a cutting-edge technology firm at the forefront of artificial intelligence, is seeking a highly skilled Senior AI & Machine Learning Engineer to lead the development of advanced predictive analytics solutions. This is a fully remote position, allowing you to leverage your expertise in AI/ML from anywhere in the world. You will be responsible for designing, building, and deploying sophisticated machine learning models to solve complex business problems, predict future trends, and drive data-informed decision-making. Your work will involve utilizing large datasets, implementing state-of-the-art algorithms, and working with cutting-edge ML frameworks and tools. This role demands a strong theoretical foundation in machine learning, deep learning, statistical modeling, and programming expertise. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into scalable AI solutions. The ideal candidate possesses a PhD or Master's degree in a quantitative field, a strong portfolio of AI/ML projects, and exceptional problem-solving skills. We are looking for an innovator who can push the boundaries of what's possible with AI and contribute significantly to our client's technological advancements. This remote position requires excellent communication and collaboration skills to work effectively with a distributed team. You will be involved in every stage of the ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. The successful applicant will have hands-on experience with cloud platforms (AWS, Azure, GCP) for ML model development and deployment, and proficiency in languages like Python, R, and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with MLOps practices is highly desirable. This role offers a competitive salary, comprehensive benefits, and the opportunity to work on challenging and impactful AI projects that are shaping the future. You will be part of a world-class team driving innovation in the AI space.
Responsibilities:
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms.
- Build and maintain scalable AI/ML pipelines for data processing, training, and deployment.
- Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Scikit-learn).
- Analyze large datasets to extract insights and identify predictive patterns.
- Collaborate with data scientists and engineers to deploy ML models into production.
- Evaluate model performance and iterate to improve accuracy and efficiency.
- Stay current with the latest research and advancements in AI and machine learning.
- Develop and document technical specifications, methodologies, and results.
- Contribute to the overall AI strategy and technology roadmap.
- Troubleshoot and resolve issues related to ML model performance and deployment.
- Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in AI/ML engineering and model development.
- Proficiency in Python and relevant ML/DL libraries (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
- Strong understanding of statistical modeling, algorithms, and data mining techniques.
- Experience with cloud platforms (AWS, Azure, GCP) for ML development and deployment.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities for remote teamwork.
- Experience with MLOps practices and tools is a significant advantage.
- Proven ability to work independently and drive projects to completion.
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Senior Data Scientist - Predictive Analytics (Remote)
Posted 19 days ago
Job Viewed
Job Description
Our client, a pioneering research and development organization, is seeking a highly accomplished Senior Data Scientist specializing in Predictive Analytics to join their innovative, fully remote research division. This role is instrumental in developing and deploying advanced machine learning models to forecast trends, identify patterns, and drive strategic insights from complex datasets. The ideal candidate will possess a strong foundation in statistics, machine learning algorithms, and data mining techniques, coupled with extensive experience in applying these skills to real-world research challenges. Key responsibilities include designing and implementing predictive models, performing rigorous data analysis and validation, developing robust data pipelines, and collaborating with cross-functional research teams to translate analytical findings into actionable recommendations. You will be responsible for data exploration, feature engineering, model selection, training, evaluation, and deployment. This position demands exceptional analytical and programming skills (Python, R, SQL), proficiency with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch), and experience with big data technologies. Excellent communication skills are essential for presenting complex findings to both technical and non-technical audiences in a clear and compelling manner. We are looking for an independent, results-oriented individual with a passion for scientific discovery and a proven ability to work effectively in a remote, collaborative environment. This is a unique opportunity to contribute to cutting-edge research and make a significant impact on future developments within a forward-thinking organization, all while enjoying the flexibility of remote work. The scientific research and development focus of this role, though remote, is conceptually linked to the industrial and research landscape of **Thika, Kiambu, KE**.
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