Sr. Data Scientist – Computer Vision

November 3, 2021
San Francisco, CA
Job Type


Company Description  

ISO, a Verisk business, has been a leading source of information about property/casualty insurance risk since 1971. For a broad spectrum of commercial and personal lines of insurance, ISO provides statistical, actuarial, underwriting, and claims information and analytics; compliance and fraud identification tools; policy language; information about specific locations; and technical services. ISO serves insurers, reinsurers, agents and brokers, insurance regulators, risk managers, and other participants in the property/casualty insurance marketplace. To learn more about ISO please visit us at: We are proud to be a part of the Verisk family of companies! 

At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.   

Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.  

But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.  

It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.   

At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do. 

At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the fifth consecutive year. We’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce.  Verisk’s Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.  

Job Description  

Title:  Sr. Data Scientist – Computer Vision

Department: Insurance Claims Analytics/AI

Working as a Data Scientist at Verisk means:

•                Being part of and contributing to a large, vibrant community of Data Scientists working in P&C Insurance, Life Insurance, Energy, Financial Services, Environmental Health and Safety, and Geopolitical Security

•                Applying a variety of analytic methodologies including Predictive Modeling, Machine Learning, Forecasting, Network Analytics, Natural Language Processing, Computer Vision, and Voice and Speech Analytics to develop solutions to business problems

•                Working with a diverse set of extremely rich datasets such as 19 billion detailed records of insurance premiums collected and losses paid, 90%+ of Insurance Claims in the US, and billions of photos of insurance losses

•                Seeing your work result in new products, product enhancements, consulting revenue, or internal process improvements on a regular basis

•                Working with cutting-edge technology, and continuously developing new skills and capabilities

Working in Verisk’s Insurance Claims Group involves:

•                  Forming part of an Analytics Center of Excellence who build AI and machine learning products for Verisk’s P&C insurance claims vertical worldwide


•                  Developing analytics solutions that help make millions of people financially whole more quickly after suffering losses such as house fires, motor accidents, hailstorms, hurricanes, injuries at work, and more


•                  Working on state-of-the-art AI solutions that sit at the core of market-leading products used by thousands of insurance professionals and consumers.


•                  Disrupting legacy process and systems as you work on a wide variety of technologies and products from fraud detection to deep learning

Specific Responsibilities

As a Sr. Deep Learning Engineer, you will be responsible for constantly pushing our Computer Vision-based solution for motor insurance claims handling to the cutting edge.

•                Using convolutional neural networks (CNNs), apply supervised deep learning techniques such as image classification, object detection, instance segmentation, and much more to automate the assessment of vehicle damages

•             Work closely with other AI Engineers on initiatives that apply the latest in Computer Vision and Deep Learning research to real-world AI problems that directly impact our products and customers

•             Share important methodologies, advances, and best practices from your research and work among the whole analytic community


•       Graduate degree (M.S. required, Ph.D. preferred) in a quantitative discipline

•       2+ years professional experience in building deep learning models

•       Exposure to the property & casualty industry is desirable, and experience with insurance claims automation is a big plus                                                

•       Knowledge and experience working on computer vision tasks such as classification, object detection, segmentation, etc.

•       Proficient with deep learning libraries such as Tensorflow and PyTorch

•       Ability to program in Python

•       Experience with Big Data technologies like Spark and Cloud technologies (AWS, Azure, etc.) is desirable

•       Understanding of RDBMs and interactive SQL programming skills

•       Knowledge of git and basic software development best practices

•       Aptitude for designing data labeling and preprocessing workflows

•       Passion for picking up new technologies

•       Self-motivated attitude and desire to work on applied problems

Additional Information  

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.

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.

Consumer Privacy Notice

At Verisk, the health and safety of our people is our number one priority.  Effective November 15, 2021, and subject to applicable law, all prospective hires for office based roles or roles that support any of our businesses’ government contracts will be required to demonstrate that they are fully vaccinated against COVID-19 by their start date, or qualify for a legally-required medical or religious accommodation to this vaccination requirement, as a condition of employment. Hired candidates who do not demonstrate that they are fully vaccinated against COVID-19 by their start date, and who have not been approved for a legally-required medical or religious accommodation will no longer meet the requirements for employment and their offers of employment will be immediately rescinded, in accordance with applicable law.

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