Verisk's Summer Internship Program is July 1st - September 30th . This is a paid position and you can expect to work 40 hours/ week. This role is based in Krakow, Poland.
Your future begins now. Verisk ‘s Summer Internship Program is designed to provide you with real work experience, professional development, and networking opportunities.
Should you perform well in the internship, you may receive an offer to join our full-time Data Science Excellence Program (DSEP) following Summer Internship Program (preferably October 2025).
Work availability requirements:
Enrolled in last year of Master’s degree with a major in Data Science, Statistics, Business Analytics, Engineering or related disciplineExperience:
Strong programming capability in a common language such as Python or R and their associated ecosystem of open source libraries Must be proficient 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)Fluency in EnglishAs 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.