Company Description
We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.
Job Description
About the Role
The research team at Verisk EES (Extreme Event Solutions) works on innovative research in AI for climate risk. We are looking for highly talented and motivated candidates passionate about doing industrial R&D, building, and deploying AI and ML solutions for real-world problems. You will play a critical part in expanding our model capabilities to improve our understanding and predictions of climate extremes and enhance the view of risk we provide to our clients. In this role you will be responsible for building, deploying, and validating machine learning algorithms to solve real-world climate problems, focusing initially on atmospheric-perils modeling. This role is a perfect blend between machine learning and climate science, and you will find in it many opportunities to express your technical skills and creative mindset.
About the Day-to-Day Responsibilities of the Role
- Design, build, deploy, and maintain machine learning models to achieve research and business objectives of the Research department.
- Collaborate with and provide support to other research groups to develop new machine learning tools and enhance existing models.
- Evaluate model performance on real-world data and present findings to key decision makers.
Identify appropriate data sources and process, clean, and verify integrity of data used for analysis
Qualifications
- Ph.D. degree (completed or close to completion) 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.
- Good theoretical understanding of the physical processes governing climate phenomena and fluid dynamics (turbulence, convection, closure models, etc.)
- Publications in relevant top-tier journals / conferences is preferred.
- Strong 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 a plus.
- Experience with common data science toolkits such as scikit-learn, PyTorch or TensorFlow.
- High degree of comfort deploying machine learning models in a HPC environment.
- Excellent verbal and written communication skills, including the ability to convey technical ideas to a non-technical audience.
- Team-focused and evidence of supporting project team members.
Additional Information
In 2022, Verisk received Great Place to Work® Certification for our outstanding workplace culture for the sixth year in a row and second-time certification in the UK, Spain, and India. We’re also one of the 38 companies on the UK’s Best Workplaces™ list and one of 18 companies on Spain’s Best Workplaces™ list.
For over fifty years and through innovation, interpretation, and professional insight, Verisk has replaced uncertainty with precision to unlock opportunities that deliver significant and demonstrable impact. From our historic roots in risk assessment, we’ve grown 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 be, and to make the world, more productive, resilient, and sustainable.
Verisk works in collaboration with our customers and at the intersection of people, data, and advanced technologies. Through proprietary platformed analytics, advanced modeling, and interpretation, we deliver immediate and sustained value to our customers and through them, to the individuals and societies they serve, with greater speed, precision, and scale. We’re 9,000 people strong, committed to translating big data into big ideas. We help others see new possibilities and empower certainty into big decisions that impact individuals and societies. And we relentlessly and ethically pursue innovation to help move our customers, and the world, toward better tomorrows.
Everyone at Verisk—from our chief executive officer to our newest employee—is guided by The Verisk Way, to Be Remarkable, Add Value, and Innovate.
• Be Remarkable by doing something better each day in service to our customers and each other
• Add Value by delivering immediate and sustained results that drive positive outcomes
• Innovate by redefining what’s possible, 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 with speed and precision
Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.
Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through 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 – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
Verisk Analytics is an equal opportunity employer.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.
http://www.verisk.com/careers.html
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.