With a history of impressive growth, an innovative culture, and offering industry-leading solutions, Verisk Analytics is an amazing place to work and make a difference. In 2018, Forbes magazine named Verisk to its World’s Best Employers list and, in 2017, to its World’s Most Innovative Companies list for the third consecutive year. We also earned the Great Place to Work® Certification for the third consecutive year in recognition of our outstanding workplace culture.

Verisk is a leading data analytics provider serving customers in insurance, energy and specialized markets, and financial services. Using advanced technologies to collect and analyze billions of records, Verisk draws on unique data assets and deep domain expertise to provide first-to-market innovations integrated into customer workflows. We’ve been delivering predictive analytics and decision support solutions to our customers for nearly 50 years, helping them protect people, property, and financial assets. At Verisk, you’ll be part of an organization that’s committed to serving the long-term interests of our stakeholders, including the communities where we operate.

At Verisk, you can build an exciting career with meaningful work; create a positive and lasting impact on the business; and find the support, coaching, and training you need to advance your career. Our culture of innovation means your ideas on how to improve our business will be heard. As key contributors to our success, our team members enjoy working in a business-casual, collaborative environment that offers state-of-the-art resources, advanced technologies, and an excellent benefits package.

Do you have a mix of math, analytical and coding skills, along with strong communication skills?  Are you looking to work in an environment that supports teamwork and collaboration, while allowing you an opportunity to grow as an individual?  Verisk is hiring for our 2020 cohort of our Data Science Excellence Program.

Our Data Science Excellence Program (DSEP) is a 4.5-year rotational program designed to develop the next generation of data scientists.  The program consists of three 18-month rotations within Verisk’s business units as a fulltime Verisk employee; potential rotations include but are not limited to:

• AIR Worldwide (catastrophic risk modeling solutions): Boston, Massachusetts
• Argus Information and Advisory Services (financial information services): White Plains, New York; and San Francisco, California, Bangalore, India
• Atmospheric and Environmental Research (weather risk management and research services): Lexington, Massachusetts
• Verisk Innovative Analytics (advanced analytical solutions for energy, financial services and property/casualty insurance): San Francisco, California
• Verisk Insurance Solutions (property/casualty insurance risk services): Jersey City, New Jersey; Lehi, Utah; Lexington, Massachusetts; Buffalo Grove, IL; Lexington, SC; Hartford, CT; and San Francisco, California
• Verisk Maplecroft (global risk analytics): Jersey City, NJ
• Verisk 3E (chemical and workplace compliance solutions): Carlsbad, CA, Montreal, Canada
• Wood Mackenzie (commercial intelligence for the energy, metals and mining industries): Houston, TX

DSEP participants are required to physically relocate three times while in the program to Verisk’s businesses around the country, determined by the DSEP’s Data Science Council, in collaboration with the program participant.  Upon completion of the program, DSEP participants will have the opportunity to secure a challenging and exciting position within one of Verisk’s businesses based on their interests and the company’s needs.

As a DSEP data scientist, you’ll receive hands-on analytics experience doing everything from data wrangling, querying, modeling, visualizing, and productizing as you work in business areas including insurance, finance, energy, and climate.  Your products and services will help our clients in decision analytics, forecasting, and risk management. 

The work includes the creation of both proof-of-concept demonstrations to illustrate specific technologies and algorithms as well as robust operational systems than can be put into production.  As an active member of project teams, you will be exposed to some of the data challenges faced at Verisk’s operations including large-scale data analysis (petabytes), real-time data analysis, and anomaly detection. Data sets of interest include large imagery and physical science data, payments industry data, and insurance data.

The DSEP data scientist will be expected to contribute to ideas for solving these problems as well as implementing the solutions. The position requires individuals that have a passion for collaboration and joint development across teams and divisions, leveraging their technical skill to inspire creativity across the organization.

Additionally, DSEP program participants receive mentorship, leadership training, program engagement events, and valuable exposure to senior data science leaders and customers impacting our company.

• Minimum GPA of 3.5.
• Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
• Passion for empirical research and for answering hard questions with data
• Strong programming capability and object-oriented design
• Versed in solving problems through programming and simulation
• Experience in one of the following:
  • Building and applying machine learning/predictive modelling in real-world use cases
  • Large scale mathematical programming and/or optimization problems
  • Image processing, image segmentation or stochastic image processing
  • Assimilation and inference from disparate natural language data sources, such as social media
• Strong statistical, mathematical, predictive modelling, or machine learning skills
• Exposure to big data systems and methodologies is a plus
• Business skills to understand problems and build the algorithms necessary to find the right answers
• A flair for presenting complex results in a visual and intuitive manner
• Ability to abstract model representations across very different industries and formulate repeatable models
• Ability to work in a fast-paced multidisciplinary environment
• Ability to work both autonomously and in a team
• R, Python, Matlab, or other scientific and general-purpose programming languages.
• SQL as a core language for data retrieval.  Experience with other data management tools is also helpful, such as MapR, Spark, etc. 

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.