2,516 Lead Data Scientist Insurance Analytics jobs in Kenya
Lead Data Scientist - Insurance Analytics
Posted 11 days ago
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Job Description
Our client, a rapidly growing insurance provider, is looking for an accomplished Lead Data Scientist to spearhead their advanced analytics initiatives. This role is entirely remote, offering you the chance to leverage your expertise in data science and machine learning to drive strategic decisions within the insurance sector from anywhere in Kenya. You will be responsible for developing sophisticated predictive models, uncovering key insights from vast datasets, and translating complex findings into actionable business strategies. The ideal candidate possesses a strong blend of technical proficiency, statistical rigor, and business acumen, with a proven ability to lead projects and mentor junior team members. This position will be crucial in enhancing risk assessment, fraud detection, customer segmentation, and optimizing pricing models.
Responsibilities:
Qualifications:
Join us in transforming the insurance landscape from Embu, Embu, KE and beyond. If you are a data-driven leader ready to make a significant impact, apply today.
Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms for insurance applications (e.g., risk modeling, claims prediction, fraud detection).
- Lead the end-to-end data science project lifecycle, from problem definition and data collection to model deployment and performance monitoring.
- Extract, clean, and preprocess large, complex datasets from various sources within the insurance domain.
- Identify opportunities to leverage data analytics to improve business processes, product offerings, and customer experience.
- Collaborate closely with actuaries, underwriters, marketing, and IT teams to integrate data-driven insights into business operations.
- Mentor and guide a team of data scientists, fostering a culture of innovation and continuous learning.
- Communicate complex analytical findings and recommendations clearly and effectively to stakeholders at all levels, including senior management.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence, and explore their applicability to the insurance industry.
- Develop and maintain data pipelines and reporting dashboards for key performance indicators.
- Ensure the ethical and compliant use of data in all analytical endeavors.
Qualifications:
- Master's or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, with a significant focus on the insurance industry.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Strong understanding of statistical modeling, machine learning techniques (regression, classification, clustering, time series analysis), and experimental design.
- Experience with SQL and working with large databases.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving abilities and a strong analytical mindset.
- Demonstrated leadership skills and experience managing projects or teams.
- Exceptional communication and presentation skills.
- Knowledge of insurance products, regulations, and actuarial principles is highly desirable.
Join us in transforming the insurance landscape from Embu, Embu, KE and beyond. If you are a data-driven leader ready to make a significant impact, apply today.
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AI & Machine Learning Lead - Predictive Modeling
Posted 20 days ago
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Job Description
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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Senior AI/ML Engineer - Predictive Modeling
Posted 11 days ago
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Job Description
Our client, an AI-driven technology firm at the forefront of innovation, is seeking a highly skilled Senior AI/ML Engineer to lead the development and deployment of advanced predictive modeling solutions. This role is fully remote, requiring you to collaborate with a distributed team of researchers and engineers to build scalable and robust machine learning systems. You will be responsible for designing, implementing, and optimizing machine learning algorithms, focusing on areas such as natural language processing, computer vision, and data analysis. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field, extensive experience with deep learning frameworks, and a passion for pushing the boundaries of artificial intelligence.
Responsibilities:
Responsibilities:
- Design, develop, and implement state-of-the-art machine learning models and algorithms for predictive analytics.
- Build and maintain scalable ML pipelines for data ingestion, feature engineering, model training, and deployment.
- Conduct rigorous experimentation and validation of models to ensure accuracy, robustness, and performance.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Research and apply new AI/ML techniques and technologies to solve complex business problems.
- Optimize existing models for improved efficiency, speed, and resource utilization.
- Develop and maintain comprehensive documentation for ML models and processes.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
- Mentor junior engineers and contribute to the team's knowledge sharing and technical growth.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Statistics, Mathematics, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying machine learning models in production environments.
- Proficiency in Python and common ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of algorithms, data structures, and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and ML services.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Published research or contributions to open-source ML projects are highly desirable.
- This position is 100% remote, offering a unique opportunity to work on groundbreaking AI projects without geographical constraints.
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Remote AI/ML Engineer - Predictive Modeling
Posted 17 days ago
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Job Description
Our client is seeking a highly skilled and innovative AI/ML Engineer to join their advanced research and development team, operating on a fully remote basis. This role is at the forefront of applying artificial intelligence and machine learning techniques to solve complex business challenges and drive innovation in emerging technologies. You will be responsible for designing, developing, and deploying machine learning models, working with large datasets, and collaborating with cross-functional teams to bring novel AI-driven solutions to life. The ideal candidate possesses a strong theoretical foundation in AI/ML, practical experience in model development and deployment, and excellent skills in programming and data science. This is a remote-first position requiring exceptional autonomy and communication capabilities.
Responsibilities:
Qualifications:
Responsibilities:
- Design, build, train, and deploy machine learning models for various applications, including predictive analytics, natural language processing, and computer vision.
- Clean, preprocess, and analyze large, complex datasets to extract meaningful features and insights.
- Develop and implement robust data pipelines for model training and inference.
- Evaluate model performance using appropriate metrics and iterate on models to improve accuracy and efficiency.
- Stay abreast of the latest research and advancements in AI, machine learning, and deep learning.
- Collaborate with product managers, software engineers, and domain experts to define project requirements and translate them into technical solutions.
- Develop and maintain scalable ML infrastructure and MLOps pipelines.
- Conduct experiments and research to explore new algorithms and approaches.
- Document code, models, and experiments thoroughly.
- Present technical findings and project progress to both technical and non-technical stakeholders.
- Ensure ethical considerations and bias mitigation are addressed in AI models.
- Contribute to the overall AI strategy and roadmap of the organization.
- Mentor junior team members and foster a culture of innovation.
- Participate actively in remote team meetings, brainstorming sessions, and code reviews.
- Troubleshoot and resolve issues related to AI/ML systems in production.
Qualifications:
- MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- A minimum of 7 years of hands-on experience in developing and deploying machine learning models in production environments.
- Proficiency in programming languages such as Python, R, or Scala.
- Deep understanding of ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong knowledge of various ML algorithms, including supervised, unsupervised, and reinforcement learning.
- Experience with data manipulation and analysis tools (e.g., Pandas, SQL).
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to work independently and manage complex projects in a remote setting.
- Outstanding verbal and written communication skills, essential for remote collaboration.
- Experience with MLOps practices and tools is highly desirable.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Must be self-motivated, curious, and passionate about pushing the boundaries of AI.
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Junior Data Scientist - Predictive Modeling
Posted 15 days ago
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Job Description
Our client is looking for an enthusiastic and driven Junior Data Scientist to join their Graduate program. This is a fully remote internship opportunity designed to provide hands-on experience in data analysis, machine learning, and predictive modeling. You will work under the guidance of experienced data scientists, contributing to real-world projects that solve complex business problems. Your responsibilities will include data cleaning and preprocessing, exploratory data analysis, building and evaluating predictive models, and assisting in the interpretation of results. The ideal candidate has a strong academic background in a quantitative field, a foundational understanding of statistical concepts and programming, and a passion for extracting insights from data. This is a fantastic chance to launch your data science career in a supportive, remote-first environment.
Responsibilities:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Develop, train, and evaluate machine learning models under supervision.
- Assist in feature engineering and selection for predictive models.
- Collaborate with senior data scientists on data visualization and reporting.
- Conduct statistical analysis to support findings.
- Document methodologies, findings, and code.
- Learn and apply new data science techniques and tools.
- Participate in team meetings and contribute ideas for data-driven solutions.
- Support the deployment and monitoring of models as needed.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms.
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas, NumPy).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).
- Basic understanding of databases and SQL.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities, suitable for remote collaboration.
- Eagerness to learn and adapt to new technologies.
- A genuine interest in data science and its applications.
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Senior Data Scientist - Predictive Modeling
Posted 21 days ago
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Job Description
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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Lead Insurance Data Scientist
Posted 21 days ago
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Job Description
Our client is seeking a talented and experienced Lead Insurance Data Scientist to drive innovation and deliver data-driven insights within their insurance operations. This is a fully remote position, offering the flexibility to work from anywhere while contributing to critical business decisions. You will lead a team of data scientists and analysts in developing advanced analytical models for pricing, underwriting, claims, fraud detection, and customer analytics. The ideal candidate will have a strong background in statistical modeling, machine learning, and programming, combined with a deep understanding of the insurance industry. This role requires excellent leadership, communication, and problem-solving skills.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the development and implementation of machine learning models and statistical analyses to address key business challenges in insurance.
- Mentor and manage a team of data scientists and analysts, fostering a collaborative and high-performing environment.
- Collaborate with business stakeholders to identify opportunities for data-driven solutions.
- Design and execute complex data mining and predictive modeling projects.
- Develop and deploy models for pricing accuracy, risk assessment, fraud detection, and customer segmentation.
- Ensure the quality, integrity, and interpretability of analytical models.
- Stay current with the latest advancements in data science, machine learning, and AI relevant to the insurance sector.
- Communicate complex analytical findings and recommendations to both technical and non-technical audiences.
- Oversee the data infrastructure and tools necessary for advanced analytics.
- Contribute to the strategic direction of data science initiatives within the organization.
- Promote data literacy and best practices across the company.
- Evaluate and implement new technologies and methodologies to enhance data science capabilities.
Qualifications:
- Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 8 years of experience in data science, with at least 3 years in a leadership or management role.
- Proven experience in applying machine learning and statistical techniques to insurance data.
- Expertise in programming languages such as Python or R, and SQL.
- Proficiency with big data technologies and platforms (e.g., Spark, Hadoop).
- Strong understanding of insurance products, processes, and regulatory landscape.
- Excellent leadership, communication, and interpersonal skills.
- Demonstrated ability to translate business problems into analytical solutions.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Strong portfolio of data science projects and proven impact on business outcomes.
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6
Lead Data Scientist - Banking & Finance (Remote)
Posted 20 days ago
Job Viewed
Job Description
Our client, a prestigious institution within the Banking & Finance sector, is looking for an experienced and innovative Lead Data Scientist to join their remote-first analytics division. This position is critical in driving data-informed decision-making across the organization. You will be instrumental in developing advanced analytical models, machine learning algorithms, and predictive insights to tackle complex business challenges in areas such as risk management, fraud detection, customer segmentation, and product development. As a Lead, you will guide a team of data scientists, foster a culture of innovation, and ensure the delivery of high-quality, actionable insights. This role demands a deep understanding of statistical modeling, programming expertise, and a strong business acumen within the financial services landscape.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the design, development, and deployment of sophisticated data models and machine learning solutions.
- Mentor and manage a team of data scientists, providing technical guidance and career development support.
- Collaborate with stakeholders across various departments (e.g., risk, marketing, operations) to identify business needs and translate them into analytical problems.
- Define project scope, methodologies, and timelines for data science initiatives.
- Conduct exploratory data analysis to uncover trends, patterns, and opportunities.
- Develop and implement robust data pipelines for model training and evaluation.
- Ensure the accuracy, reliability, and scalability of analytical solutions.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Present complex findings and recommendations to both technical and non-technical audiences.
- Contribute to the strategic direction of data analytics within the organization.
Qualifications:
- Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
- Minimum of 8 years of experience in data science, with a significant portion in the Banking & Finance industry.
- Proven experience in leading data science projects and teams.
- Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop).
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Excellent communication, presentation, and storytelling abilities.
- Ability to translate complex technical concepts into business value.
- Must be comfortable and effective working in a fully remote setting , with excellent self-management skills and a dedicated home office.
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Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 6 days ago
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Job Description
Our client, a groundbreaking leader in AI and Emerging Technologies, is actively seeking a Principal AI Research Scientist to join their elite, fully remote team. This role is at the cutting edge of artificial intelligence, focusing on advanced deep learning techniques for computer vision applications. You will spearhead innovative research, develop novel algorithms, and publish impactful findings that push the boundaries of the field. The ideal candidate will have a Ph.D. in a relevant discipline, a strong publication record in top-tier AI conferences, and extensive hands-on experience with deep learning frameworks. This is an exceptional opportunity for a leading researcher to drive transformative AI advancements from anywhere.
Responsibilities:
Responsibilities:
- Conduct state-of-the-art research in deep learning for computer vision, including object detection, image segmentation, facial recognition, and generative models.
- Develop and implement novel AI algorithms and models, optimizing for performance and accuracy.
- Design and execute rigorous experiments to validate research hypotheses.
- Collaborate with cross-functional teams to integrate research prototypes into product development.
- Publish research findings in leading academic journals and present at international conferences.
- Mentor junior researchers and engineers, fostering a collaborative research environment.
- Stay abreast of the latest advancements and trends in AI, machine learning, and computer vision.
- Contribute to the intellectual property portfolio through patent applications.
- Lead research initiatives and define research roadmaps in specific areas of computer vision.
- Explore new application domains for computer vision technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Minimum of 7 years of post-doctoral research experience in AI, with a specialization in Deep Learning and Computer Vision.
- A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python and experience with scientific computing libraries.
- Deep understanding of various neural network architectures (CNNs, RNNs, Transformers) and their applications.
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects and work effectively in a remote, collaborative setting.
- Strong communication and presentation skills.
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AI/ML Research Scientist (Computer Vision)
Posted 19 days ago
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Job Description
Our client is seeking a brilliant and innovative AI/ML Research Scientist specializing in Computer Vision to join their cutting-edge research team. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking advancements from the comfort of your home office. You will be at the forefront of developing novel algorithms and models for image recognition, object detection, and scene understanding. Your work will involve exploring state-of-the-art deep learning techniques, conducting rigorous experiments, and publishing research findings in leading AI conferences and journals. This role is ideal for a passionate researcher with a strong theoretical background and practical implementation skills.
Key responsibilities include:
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.
Key responsibilities include:
- Designing, developing, and implementing advanced computer vision algorithms and models using deep learning.
- Conducting research into areas such as image segmentation, object tracking, facial recognition, and 3D reconstruction.
- Prototyping new AI solutions and validating their performance through extensive experimentation.
- Analyzing large-scale datasets, preparing them for model training, and ensuring data quality.
- Collaborating with software engineers to integrate research prototypes into production systems.
- Staying abreast of the latest academic research and industry trends in AI and computer vision.
- Writing high-quality research papers for publication and presentation.
- Contributing to the intellectual property portfolio through patents and publications.
- Mentoring junior researchers and contributing to the team's technical growth.
- Participating in code reviews and ensuring robust, well-documented research code.
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.
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