Job Description:

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: www.verisk.com/iso. 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 thefifthconsecutive year. We've been recognized byForbesas 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

Overview of the Position

Verisk Analytics' internal consulting group, Insurance Analytics, seeks enthusiastic and talented Senior Data Scientistto support high visibility, high priority, big data projects that have a significant revenue potential. These data scientists will focus on feature engineering and building the predictive models that serve as the core of new & existing products.

You will play an integral role by working with large highly complex data (of varying quality, but mostly structured), advanced statistics, and machine learning to create highly usable models. As a Senior Data Scientist, you will be tasked with synthesizing creative solutions to non-trivial problems such as engineering high quality features, determining the best algorithm/approach for model building, and identifying then resolving computational inefficiencies by utilizing current generation big data techniques.

This role will support our Lead Data Scientist by collaborating with other Senior Data Scientists while taking ownership of distinct components of large team projects, which will be used to generate underwriting and rating products across commercial insurance lines of business. Most of your work will revolve around utilizing packages such as Pandas/Dask, NumPy, Numba, Sci-kit Learn, Caret, Sparklyr, h2o, Spark, SparkML, etc. and SQL (SparkSQL, PostgreSQL, and MS SQL).

Responsibilities

• Under some supervision, engineer high quality features and build valuable models (exploratory data analysis -> variable reduction/selection/transformations -> model building -> testing -> communication of results and sales support)


• Exhibit creativity in active problem-solving environment


• Document processes, code, implement version control, and ideally, create functions/template code so that your successes can be applied to new data with minimal effort


• Utilize advanced statistical techniques, machine learning, and best practices to efficiently create models, that comply with regulatory and privacy requirements, and address business objectives and client needs.


• Create clear and easy to understand reports. Verbally present analysis ideas, progress and results to internal manager and colleagues.


• Support a high-performance collaborative culture. Participate in peer-review with colleagues on an ongoing basis to learn, teach, and ultimately, produce high quality results.


• Understand


• The structure of insurance datasets


• The P&C insurance business including coverages, components of rating variables, etc.


• Basic actuarial concepts


• Develop knowledge of Verisk Analytics' business practices, products, and data sources


• Remain current on data science techniques and become familiar with state of the art tools


• Contribute to the creation of detailed project plans to ensure projects are completed on time.

Qualifications

Requirements

• Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal groups (data, IT, product and sales) as well as third-party partners and customers (insurance companies).


• 2+ years of relevant work experience including 1 year of statistical modeling and data mining in a P&C insurance context (insurance company or insurance consulting firm) using large and complex datasets. Experience with commercial lines rating plan modeling is a strong plus. Life or health insurance experience is a bonus.


• Graduate-level degree with concentration in a quantitative discipline such as statistics computer science, mathematics, economics, or operations research.


• Extensive programming experience with Python and/or R, SQL. Moderate programing experience with Spark/Scala, SQL, and SAS (STAT, macros). Greenplum and UNIX experience is a plus. Distributed Computing/AWS experience is also a plus.


• Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, GBT, XGBoost, LightGBM, Random Forest, PCA, Kmeans, cluster analysis, principal components, and feature creation, validation.


• Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills. Excellent organization/planning skills and talent for managing many large and complex datasets.


• Aptitude in performing multiple tasks and dealing with changing deadline requirements. This includes knowing when to escalate issues. Maintains a focused, flexible, organized, and proactive manner.

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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.

http://www.verisk.com/careers.html

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