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 is must.
• 2+ years of experience building machine learning models in industry or academia.
• Publications in relevant top-tier journals / conferences is preferred.
• Good theoretical understanding of the physical processes governing climate phenomena and fluid dynamics (turbulence, convection, closure models, etc.)
• Strong command of machine learning algorithms for spatiotemporal data and physical processes (LSTM, TCN, CNN, Transformers, PINNs, Neural Operators etc.)
• Experience with common data science toolkits such as scikit-learn, PyTorch or TensorFlow is must.
• High degree of comfort deploying machine learning models in a HPC environment.
• Experience with Generative models (GANS, Diffusion models) is a plus.
• 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.

#LI-NK1
#LI-Hybrid 

Additional Information

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. 

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland.  We value learning, caring and results and make inclusivity and diversity a top priority.  In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

We’re 7,000 people strong.  We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

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. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

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.