1,534 Senior Data Scientist Insurance Analytics jobs in Kenya
Lead Data Scientist - Insurance Analytics
Posted 11 days ago
Job Viewed
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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Principal Data Scientist - Insurance Analytics
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a distinguished Principal Data Scientist with extensive experience in insurance analytics to lead their fully remote data science initiatives. This pivotal role requires a deep understanding of actuarial principles, risk modeling, and predictive analytics within the insurance sector. You will be responsible for driving the development and implementation of advanced machine learning models that enhance pricing, underwriting, claims management, and fraud detection. Operating remotely, you will collaborate with actuarial, underwriting, and claims departments to translate complex business challenges into data-driven solutions. Your responsibilities will include:
- Leading the design, development, and deployment of sophisticated predictive models and machine learning algorithms for insurance applications (e.g., risk segmentation, customer lifetime value, claims severity, propensity modeling).
- Collaborating with actuaries and underwriters to integrate data science insights into pricing strategies and underwriting guidelines.
- Developing and implementing advanced fraud detection systems using machine learning and anomaly detection techniques.
- Mentoring and guiding a team of data scientists and analysts in a remote environment.
- Communicating complex analytical findings and their business implications to senior leadership and non-technical stakeholders.
- Exploring and leveraging new data sources and technologies to enhance analytical capabilities.
- Ensuring the ethical and responsible use of data and models.
- Evaluating and implementing best practices in data science, MLOps, and model validation within the insurance context.
- Contributing to the strategic direction of data analytics and AI within the organization.
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Senior Data Scientist - Insurance Analytics
Posted 20 days ago
Job Viewed
Job Description
Our client is revolutionizing the insurance industry through data-driven insights and is seeking a highly skilled Senior Data Scientist to join their remote-first team. This role is pivotal in leveraging advanced analytical techniques to drive strategic decisions, enhance customer experiences, and optimize business operations within the insurance sector. You will be responsible for the entire data science workflow, from problem definition and data extraction to model development, validation, and deployment. This includes building predictive models for risk assessment, fraud detection, customer churn, and pricing optimization. The ideal candidate will have a strong command of statistical modeling, machine learning algorithms, and programming languages such as Python or R. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP) is highly valued. You will work closely with business stakeholders to understand their challenges and translate them into data science solutions. Effective communication of complex analytical findings to both technical and non-technical audiences is essential. This position offers an exciting opportunity to work on challenging problems, contribute to groundbreaking innovations, and mentor junior data scientists within a collaborative remote environment. We are looking for a proactive individual with a passion for uncovering insights from data and a commitment to delivering measurable business impact. The ability to design and implement robust, scalable machine learning pipelines is crucial for success in this role.
Responsibilities:
Qualifications:
Responsibilities:
- Develop and implement advanced statistical and machine learning models for insurance applications (e.g., risk, fraud, pricing).
- Design and execute data mining strategies to extract valuable insights from large datasets.
- Collaborate with business units to define analytical problems and develop solutions.
- Build and deploy predictive models, ensuring their accuracy and performance.
- Perform rigorous model validation and A/B testing.
- Communicate complex analytical findings and recommendations to stakeholders.
- Mentor junior data scientists and share best practices.
- Stay abreast of the latest advancements in data science and AI.
- Contribute to the development of data infrastructure and tooling.
- Ensure data privacy and security compliance.
Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in data science, with a focus on the insurance industry.
- Proficiency in Python or R, including relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong experience with SQL and working with large, complex datasets.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Deep understanding of various machine learning algorithms and statistical modeling techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Experience with data visualization tools.
- Proven ability to work independently and as part of a remote team.
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2
Lead Insurance Data Scientist
Posted 21 days ago
Job Viewed
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.
This advertiser has chosen not to accept applicants from your region.
3
Senior Insurance Data Scientist - Remote
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Senior Insurance Data Scientist to join our fully remote data science division. This role is critical for leveraging advanced statistical modeling, machine learning, and predictive analytics to drive strategic decisions within the insurance industry. You will work with large, complex datasets to uncover insights, develop innovative products, optimize pricing strategies, improve claims processing, and detect fraudulent activities. The ideal candidate possesses a deep understanding of insurance principles, coupled with strong technical expertise in data mining, machine learning algorithms, and programming languages like Python or R. You will collaborate closely with actuaries, underwriters, claims adjusters, and business stakeholders to translate complex data findings into actionable business strategies. Key responsibilities include developing predictive models for customer behavior, risk assessment, and fraud detection; performing data analysis to identify trends and opportunities; and communicating findings through compelling visualizations and reports. Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly advantageous. This is a fully remote position, offering the flexibility to work from anywhere while contributing to significant advancements in insurance analytics. You will be at the forefront of applying data science to solve challenging problems in a dynamic and evolving industry.
Responsibilities:
Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms for insurance applications.
- Analyze large datasets to identify trends, patterns, and actionable insights related to customer behavior, risk, and operations.
- Build predictive models for pricing, underwriting, fraud detection, and claims management.
- Collaborate with actuarial, underwriting, and claims departments to provide data-driven solutions.
- Design and conduct A/B tests to evaluate model performance and business impact.
- Create compelling data visualizations and reports to communicate findings to stakeholders.
- Contribute to the development of data infrastructure and best practices.
- Stay updated on the latest advancements in data science, machine learning, and insurance analytics.
- Mentor junior data scientists and analysts.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Minimum of 5 years of experience as a Data Scientist, with a significant focus on the insurance industry.
- Proficiency in Python or R, including relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, statsmodels).
- Strong experience with SQL and database technologies.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is a plus.
- Deep understanding of machine learning techniques and statistical modeling.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a remote team environment.
This advertiser has chosen not to accept applicants from your region.
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Senior Remote Insurance Data Scientist
Posted 11 days ago
Job Viewed
Job Description
Our client, a progressive insurance provider, is seeking a highly analytical and experienced Senior Remote Insurance Data Scientist to join our fully remote analytics division. In this pivotal role, you will leverage vast datasets to uncover critical insights, develop predictive models, and drive strategic decision-making across the organization. Your responsibilities will include designing and implementing sophisticated data mining techniques, building machine learning models for risk assessment, fraud detection, and customer segmentation, and interpreting complex statistical analyses. You will work closely with actuaries, underwriters, and product managers to translate business challenges into data-driven solutions. This position requires a profound understanding of statistical modeling, programming languages such as Python or R, and big data technologies. You will be expected to communicate your findings clearly and effectively to both technical and non-technical stakeholders through compelling visualizations and presentations. The ideal candidate will have a strong background in the insurance industry, with a proven ability to apply data science principles to solve real-world insurance problems. Exceptional problem-solving skills, a meticulous attention to detail, and the ability to work autonomously in a remote setting are essential. You will play a key role in enhancing our underwriting accuracy, optimizing claims processing, and improving customer retention. This opportunity offers the chance to work on challenging problems with significant business impact, all within a flexible, remote work environment. While our headquarters are located in Thika, Kiambu, KE , this role is entirely remote. If you are a seasoned data scientist with a passion for transforming the insurance landscape through advanced analytics, we invite you to apply.
This advertiser has chosen not to accept applicants from your region.
5
Lead Building Information Modeling (BIM) Specialist
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and experienced Lead Building Information Modeling (BIM) Specialist to join their innovative, fully remote architectural and engineering team. This role is pivotal in developing and implementing advanced BIM strategies across a diverse range of projects, ensuring efficiency, accuracy, and collaboration from concept to completion. You will lead the BIM efforts, mentor junior specialists, and champion the adoption of best practices in digital construction. Your expertise in BIM software and your passion for cutting-edge technology in design and construction are essential.
Key Responsibilities:
Key Responsibilities:
- Develop and implement company-wide BIM standards, protocols, and workflows.
- Lead the creation and management of complex BIM models for various architectural and engineering projects.
- Collaborate with project teams (architects, engineers, contractors) to ensure seamless integration of BIM data.
- Conduct clash detection analysis and resolve coordination issues proactively.
- Provide training and support to project teams on BIM software and best practices.
- Manage BIM project execution plans and ensure compliance with project requirements.
- Stay abreast of the latest advancements in BIM technology, software, and methodologies.
- Develop and maintain a library of BIM content (families, components, templates).
- Contribute to the continuous improvement of BIM processes and workflows.
- Mentor and guide junior BIM specialists and designers.
- Bachelor's degree in Architecture, Engineering, Construction Management, or a related field.
- Minimum of 7 years of experience in BIM, with at least 3 years in a lead or specialist role.
- Expert proficiency in BIM software such as Revit, Navisworks, and AutoCAD.
- Demonstrated experience in developing and managing BIM execution plans.
- Strong understanding of architectural, structural, and MEP systems integration.
- Excellent knowledge of clash detection and model coordination processes.
- Exceptional communication, collaboration, and problem-solving skills.
- Ability to lead and mentor a team in a remote environment.
- Experience with various project delivery methods (e.g., design-bid-build, design-build).
- A passion for digital transformation in the AEC industry is essential.
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6
Principal Building Information Modeling (BIM) Specialist
Posted 16 days ago
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Job Description
Our client is seeking a highly accomplished and visionary Principal Building Information Modeling (BIM) Specialist to lead our remote BIM strategy and implementation. This is a critical, fully remote role focused on establishing and enforcing best practices in BIM workflows, standards, and technologies across a diverse range of architectural projects. You will be responsible for developing and managing the firm's BIM protocols, ensuring seamless integration of BIM into all project phases from concept design through construction administration. The ideal candidate will possess a deep understanding of architectural design, construction processes, and advanced BIM software and methodologies. Your responsibilities will include creating and maintaining BIM execution plans, developing custom templates and libraries, and providing expert guidance to project teams. You will play a key role in evaluating and implementing new BIM technologies, ensuring our firm remains at the forefront of digital design and collaboration. This position demands exceptional analytical skills, a meticulous attention to detail, and the ability to mentor and train other BIM professionals. You will champion the adoption of BIM as a core project delivery tool, enhancing efficiency, reducing errors, and improving overall project outcomes. As a fully remote specialist, you will leverage cutting-edge communication and collaboration tools to engage with project stakeholders, consultants, and clients. You will contribute to the continuous improvement of our BIM capabilities, ensuring that our firm delivers innovative and technically superior architectural solutions. The ability to translate complex technical requirements into practical, implementable BIM strategies is essential. This role offers a unique opportunity to shape the future of digital construction within a forward-thinking organization.
Responsibilities:
Responsibilities:
- Develop, implement, and manage comprehensive BIM strategies and workflows for architectural projects.
- Establish and maintain firm-wide BIM standards, protocols, and best practices.
- Create and oversee the development of custom BIM templates, families, and content libraries.
- Provide expert technical support and guidance on BIM software (e.g., Revit, Navisworks) and related technologies.
- Lead BIM coordination meetings and collaborate with multi-disciplinary project teams to resolve clashes and ensure design integrity.
- Evaluate, recommend, and implement new BIM tools and technologies to enhance project delivery.
- Develop and deliver BIM training programs for internal staff and project stakeholders.
- Conduct quality assurance checks on BIM models to ensure adherence to standards and accuracy.
- Champion the use of BIM for advanced analyses, such as energy modeling, structural analysis, and quantity take-offs.
- Contribute to the development of proposals and bids by articulating BIM capabilities and strategies.
- Master's degree in Architecture, Civil Engineering, Construction Management, or a related field.
- Minimum of 10 years of progressive experience in BIM management, coordination, and implementation within the AEC industry.
- Extensive knowledge of BIM software, including Autodesk Revit, Navisworks, and related platforms.
- Strong understanding of architectural design principles, construction methods, and project delivery processes.
- Proven experience in developing and managing BIM execution plans and content libraries.
- Expertise in clash detection, model coordination, and 4D/5D BIM applications.
- Excellent communication, presentation, and interpersonal skills, with the ability to effectively train and mentor technical staff.
- Demonstrated ability to lead and manage complex BIM projects in a remote environment.
- In-depth knowledge of industry BIM standards and protocols (e.g., ISO 19650).
- Portfolio showcasing successful BIM implementation on significant projects is highly desirable.
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7
Lead Building Information Modeling (BIM) Architect
Posted 21 days ago
Job Viewed
Job Description
Our client seeks a highly skilled and experienced Lead Building Information Modeling (BIM) Architect to join their innovative, fully remote team. In this pivotal role, you will be responsible for developing and implementing advanced BIM strategies and workflows across a diverse range of architectural projects. You will lead a team of BIM specialists, ensuring the successful integration of BIM technologies from conceptual design through to construction documentation and facility management. This position requires a deep understanding of BIM software, standards, and best practices, coupled with exceptional leadership and communication skills. You will collaborate closely with project managers, designers, engineers, and contractors to achieve project objectives and client satisfaction. Your responsibilities will include establishing BIM execution plans, managing model coordination, conducting clash detection analysis, and overseeing the quality control of all BIM deliverables. You will also play a key role in training and mentoring junior staff, promoting a culture of continuous improvement and technical excellence. The ideal candidate will have a strong portfolio showcasing complex BIM projects and a proven track record of delivering successful outcomes in a remote environment. This is a unique opportunity to shape the future of digital design and construction for a forward-thinking organization. The role offers the flexibility of remote work, allowing you to contribute your expertise from anywhere. This position is based in **Ruiru, Kiambu, KE**, but requires full-time remote engagement.
Key Responsibilities:
Key Responsibilities:
- Develop and implement comprehensive BIM strategies and workflows.
- Lead and manage a team of BIM coordinators and technicians.
- Oversee the creation, management, and coordination of BIM models.
- Conduct regular clash detection and provide solutions.
- Ensure adherence to BIM standards and project-specific requirements.
- Collaborate with multidisciplinary project teams.
- Provide technical guidance and support to project stakeholders.
- Stay abreast of the latest BIM technologies and industry trends.
- Contribute to the development of training materials and best practices.
- Manage BIM deliverables and reporting.
- Bachelor's degree in Architecture, Engineering, or a related field.
- Minimum of 8 years of experience in BIM, with at least 3 years in a leadership role.
- Proficiency in Autodesk Revit, Navisworks, AutoCAD, and other relevant BIM software.
- Strong understanding of architectural design principles and construction processes.
- Excellent leadership, communication, and interpersonal skills.
- Proven ability to manage complex BIM projects.
- Experience with remote collaboration tools and methodologies is essential.
- Knowledge of international BIM standards (e.g., ISO 19650).
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8
Chief Building Information Modeling (BIM) Manager
Posted 5 days ago
Job Viewed
Job Description
Our client is seeking an exceptional Chief Building Information Modeling (BIM) Manager to spearhead the adoption and advancement of BIM technologies across all construction projects. This fully remote leadership role is critical for enhancing design coordination, improving project efficiency, and reducing construction costs. You will be responsible for developing and implementing the company's BIM strategy, establishing BIM standards, workflows, and best practices. This includes managing BIM software platforms, ensuring compliance with industry standards, and leading a team of BIM specialists. The ideal candidate will have extensive experience in BIM implementation within large-scale construction projects, a deep understanding of architectural, structural, and MEP systems, and a proven ability to train and mentor project teams. You will collaborate closely with architects, engineers, contractors, and other stakeholders to ensure seamless integration of BIM throughout the project lifecycle, from conceptual design to facility management. Your expertise will be instrumental in driving innovation, improving collaboration, and delivering high-quality projects on time and within budget. Strong analytical skills, excellent communication, and the ability to effectively manage complex technical information are essential. This is a pivotal opportunity to shape the future of our construction methodologies and drive significant improvements in project delivery. The role is advertised for **Thika, Kiambu, KE**, but is fully remote.
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