AI/ML Scientist

Company Description We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions connect content, data, and analytics to help businesses, people, and society become stronger, more resilient, and sustainable. Job Description About the Role The research team at Verisk EES (Extreme Event Solutions) is working on cutting-edge research in AI for climate risk. We are seeking exceptionally talented and motivated candidates passionate about undertaking industrial R&D, building, and deploying AI and ML solutions for real-world problems. You will play an integral role in broadening our model capabilities to improve our understanding and predictions of climate extremes and enhance the risk view we provide to our clients. In this role, you will be tasked with building, deploying, and validating machine learning algorithms to solve real-world climate issues, initially focusing on atmospheric-perils modeling. This role offers the perfect blend between machine learning and climate science, providing many opportunities to utilize your technical skills and inventive mindset. About the Day-to-Day Responsibilities of the Role Design, build, deploy, and maintain machine learning models to achieve the research and business objectives of the Research department. Collaborate with and assist other research groups in developing new machine learning tools and improving existing models. Evaluate model performance using real-world data and present your findings to key decision makers. Identify suitable data sources and process, clean, and verify the integrity of data used for analysis. Qualifications Ph.D. degree (completed or about to be completed) in engineering, fluid mechanics, atmospheric science, computer science, statistics, or a related field. 2+ years of experience building machine learning models in industry or academia. Solid theoretical understanding of the physical processes governing climate phenomena and fluid dynamics (turbulence, convection, closure models, etc.) Publications in pertinent top-tier journals / conferences are preferred. Robust command of machine learning algorithms for spatiotemporal data and physical processes (LSTM, TCN, CNN, Transformers, PINNs, Neural Operators, etc.) Experience with Generative models (GANS, Diffusion models) is advantageous. Familiarity with common data science toolkits like scikit-learn, PyTorch, or TensorFlow. Comfortable deploying machine learning models in a HPC environment. Exceptional verbal and written communication skills, including the ability to convey technical ideas to a non-technical audience. Team-focused and a history of supporting project team members. Additional Information In 2022, Verisk received Great Place to Work® Certification for our exceptional workplace culture for the sixth consecutive year and the second-time certification in the UK, Spain, and India. We're also on the UK’s Best Workplaces™ list (38 companies) and Spain’s Best Workplaces™ list (18 companies). For over half a century, through innovation, interpretation, and professional insight, Verisk has replaced uncertainty with precision, unlocking opportunities that deliver significant and measurable impact. From our roots in risk assessment, we have expanded to provide analytic insights that help transform industries focused on some of the world's most critical areas. Today, the insurance industry relies on Verisk to become, and make the world, more productive, resilient, and sustainable. Verisk collaborates with our customers at the nexus of people, data, and advanced technologies. By platformed analytics, advanced modeling, and interpretation, we deliver immediate and sustained value to our customers and through them, the societies and individuals they serve, with more significant speed, precision, and scale. Our 9,000 personnel are dedicated to converting big data into big ideas. We assist others in seeing new possibilities and instilling certainty into significant decisions that affect individuals and societies. We ethically and persistently pursue innovation to aid our customers, and the world, toward better tomorrows. Everyone at Verisk—from our CEO to our newest employee—follows The Verisk Way, to Be Remarkable, Add Value, and Innovate. Be Remarkable by improving everyday in service to our customers and each other. Add Value by delivering immediate and sustainable results that positively impact outcomes. Innovate by redefining possibilities, embracing challenges, and pushing boundaries. Verisk Businesses Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk quickly and accurately. Claims Solutions — supports comprehensive claims handling with analytic and automation tools that streamline workflow, improve claims management, and enhance customer experiences. Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to maximize daily workflows' efficiency. Extreme Event Solutions — provides risk modeling solutions to enhance the resilience of individuals, businesses, and society to extreme events. Specialty Business Solutions — provides an integrated suite of software for holistic management of insurance and reinsurance business, promoting efficiency, flexibility, and data governance. Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement. Life Insurance Solutions – provides end-to-end, data-driven capabilities for carriers, distributors, and direct customers across the entire policy lifecycle of life and annuities for both groups and individuals.