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 fourth 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.  

​​​​​​​Verisk’s Summer Internship Program is designed to provide our interns with real work experience, professional development events, and networking opportunities. We're looking for motivated individuals who embody the Verisk Way to Serve, Add Value, and Innovate.

Data Science Internship 

As a Data Science Intern, 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.  You 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. 

Verisk provides our interns with mentorship, training, engaging program events, and valuable exposure to the senior analytics and business leaders guiding our company. If you have a strong technical background, enjoy ongoing learning and innovative thinking, and strive to actively participate in knowledge-sharing and open collaboration, we hope you will consider joining us.   

Work availability requirements: 

·         December 2021/ May 2022 graduate pursuing an MS degree in Data Science/Analytics, or an undergraduate degree in similar concentration 

·         Must be able to commence working without restrictions in June 2021 for a summer internship.  

Responsibilities: 

·         Manipulate, clean, analyze, visualize, and model data of varying volume and velocity with some guidance 

·         Work with cross-functional peers and management to see a project through to deployment 

·         Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner 

·         Passion for empirical research and resourcefulness for problem-solving with data 

·         Continue learning new technologies, business skills, and domain knowledge to ensure a successful career 

·         Participate and help organize various innovative events such as hackathons and modeling competitions 

Required skills, experiences, and qualifications: 

·         Minimum GPA of 3.5.  

·         Core skills 

o    Strong programming capability in a common language such as python or R and their associated ecosystem of open source libraries 

o    Must be proficient in SQL, understanding of NoSQL query languages a plus 

o    Basic understanding of software development practices such as versioning, testing and continuous deployments 

o    Exposure to big data and distributed systems such as Spark a plus 

o    Exposure to cloud services such as AWS, GCP, or Azure, a plus 

o    Exposure to event-driven architecture such as APIs, Kafka, GraphQL a plus 

·         In-depth understanding of one or more machine learning or statistical concepts 

o    Supervised, unsupervised, semi-supervised learning scenarios 

o    Optimization and loss functions 

o    Evaluation of classification, regression, and other model results 

o    Probability distributions and unbalanced samples 

o    Dimensionality problems, sampling, and Bayesian methods 

o    Missing values and imputation 

·         Experience in one or more of the following:  

o    Real-world use cases that solved a problem by applying machine learning and statistical modeling on structured and/or unstructured data 

o    Computer vision working with images, videos, or point clouds 

o    Natural language processing working with short or long-form text 

o    Large scale mathematical programming and/or optimization problems  

o    Other deep learning applications and architectural designs such as graphs or multimodal problems 

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. 

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