เงื่อนไขการค้นหา

ทักษะ:

Industry trends

ประเภทงาน:

งานประจำ

• Develop technology strategies by analyzing business needs, prioritizing projects and providing estimates for cost-benefit analysis.
• Establish Next in class project delivery model aligned to business requirements.
• Act as a facilitator for negotiations between IT and business and enable both parties to work in a cohesive manner.
• InformedStay abreast of latest insurance industry trends in terms of business and technology and implement the same to deliver future ready solutions to business.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Land Surveying, GIS, Python, English, Thai

ประเภทงาน:

งานประจำ

• The position will report to the Project Manager and technical leadership, and will coordinate closely with modeling, data science, and system development teams.
• Master s or higher degree in Atmospheric Science, Meteorology, Oceanic Science, Environmental Science, or similar disciplines..
• Demonstrated expertise in dynamic model or AI/ML-based predictive modeling tools and platforms, and geospatial analysis tools including NWP, GG-Earth engine, GIS software (ArcGIS, QGIS).
• Strong knowledge of disaster risk modeling, including integration of forecast products with hazard, exposure, and vulnerability data to support impact-based decision-making.
• Proficiency in programming languages and tools such as Python, R, or similar platforms used for meteorological data analysis, automation, and visualization.
• Experience with WMO-compliant forecasting systems and working knowledge of climate service frameworks is highly desirable.
• Excellent communication and coordination skills, with proven experience engaging diverse stakeholders across multi-agency, regional, or international contexts.
• Demonstrated ability to manage tasks and deliver results under tight timelines, with a solution-oriented and collaborative work ethic.
• Minimum of 3 years of relevant experience in meteorology, hydrology, disaster risk modeling, or related fields. Demonstrated expertise in numerical weather prediction (NWP) models, ensemble forecasting, and now casting techniques.
• At least 2 years of hands-on experience in operational forecasting, with preference for work involving multi-hazard early warning systems (MHEWS).
• Proven track record in analyzing meteorological and hydrological patterns, designing impact-based forecasting systems, and integrating multi-disciplinary datasets to support decision-making.
• Experience in managing multi-stakeholder projects and facilitating training or capacity-building programs, particularly in collaboration with government agencies, research institutions, and community-based organizations.
• Personal Qualities.
• Strategic thinker with strong analytical and solution-oriented capabilities in applied climate science.
• Self-driven and capable of working independently while maintaining accountability and initiative.
• Effective collaborator with the ability to work in multicultural, interdisciplinary teams and manage cross-sectoral engagement.
• Detail-oriented and results-focused, with adaptability in dynamic and evolving operational environments.
• Professional, respectful, and proactive in both independent and team-based work settings..
• Major Duties and Responsibilities.
• Core Technical Functions.
• Downscale and customize meteorological and climate forecasts to specific geographic locations of interest.
• Analyze and interpret high-resolution weather and climate forecast products in probabilistic terms (e.g., IMD, INCOIS, NCMRWF, ECMWF, WRF,etc), with a focus on high-impact extreme events such as cyclones, storm surges, tsunamis, floods (urban & riverine), extreme rainfall, lightning and heatwaves.
• Integrate forecast uncertainty, risk, and consequence factors to transform meteorological data into actionable hazard forecasts.
• Collaborate with AI/ML experts, GIS analysts, and disaster risk professionals for model integration, automation, and performance enhancement.
• Co-design and validate disaster risk models in collaboration with the RIMES IT team to improve model accuracy and operational reliability.
• Co-design and implement sector-specific early warning protocols for national and state disaster management authorities.
• Support the development of decision-support tools and interactive dashboards for communicating forecast-based risk insights to emergency planners and end-users.
• Deliver capacity-building workshops and training programs to strengthen the technical skills of national meteorological and disaster risk management institutions on IBF methodologies.
• Contribute to the preparation of localized impact outlooks and early warning bulletins and develop the sector-specific hazard risk maps and forecast-based early warning templates.
• Contribute to the generation of impact forecast bulletins and the development of technical documentation, including SOPs and IBF guidance notes for disaster management stakeholders..
• Capacity Building and Stakeholder Engagement and Documentation.
• Facilitate training programs for internal teams and external stakeholders, covering RIMES policies, operational procedures, and the use of forecasting tools and systems.
• Lead training and implementation of IBF models for IT and disaster management teams.
• Prepare comprehensive technical reports, progress updates, and outreach materials for stakeholders, including senior officials and executives.
• Maintain detailed project documentation including strategies, workflows, milestones, outcomes, and impact assessments.
• Prepare and maintain Standard Operating Procedures (SOPs) for project-based services and ensure continuity of critical operations, including data management, forecasting workflows, system maintenance, and other essential functions. These SOPs will serve as reference documents to standardize practices, minimize disruptions, and ensure accountability across all activities.
• Compile capacity-building workshop content, training materials, and post-event reports..
• Other Responsibilities.
• Provide technical inputs to support system implementation and development of decision-support systems (DSS) for early warning and risk reduction.
• Support operational readiness for client early warning systems, including participation in 24/7 support rotations, with backup from RIMES Headquarters.
• Undertake additional responsibilities as assigned by the immediate supervisor or HR manager, based on organizational needs and recommendations from RIMES technical teams.
• Perform any other tasks relevant to the role as may be required from time to time.