Verisk is looking to provide real work experience, professional development, and networking opportunities to students interested in exploring careers in tech, specifically in data science and analytics, to help customers make crucial decisions about risk with greater precision, efficiency, and discipline.
Requirements
- Strong programming capability in a common language such as python or R and their associated ecosystem of open-source libraries
- Proficiency in SQL, understanding of NoSQL query languages a plus
- Interest in learning/ using machine learning and statistical concepts (Supervised, unsupervised, semi-supervised learning scenarios; Optimization and loss functions; Evaluation of classification, regression, and other model results; Probability distributions and unbalanced samples; Dimensionality problems, sampling, and Bayesian methods; Missing values and imputation
Responsibilities
- Data wrangling, querying, modeling, visualizing, and productizing
- Creation of proof-of-concept demonstrations to illustrate specific technologies and algorithms
- Development of robust operational systems that can be put into production
- Large-scale data analysis (real-time data analysis, and anomaly detection)
- Working with large imagery, physical science, and insurance data
- Helping clients in decision analytics, forecasting, and risk management
- Collaboration with project teams to solve data challenges faced at Verisk's operations
Other
- December 2026/ May 2027 Graduate pursuing a BS or MS degree in a technical field of study (data science, statistics, business analytics, engineering, etc.)
- Must be able to commence working without restrictions in June 2026 for a summer internship
- Work availability requirements: 40 hours/ week, hybrid work schedule, requiring you to be in the office at least 2 days per week
- Location: Jersey City, NJ
- Open to future relocation for full-time Data Science Excellence Program (DSEP) after graduation
