Data Science | 2026 Summer Internship Program in London

Verisk‘s Summer Internship Program is designed to provide you with real work experience, professional development, and networking opportunities. This is a full-time (37.5 hours/week) paid internship program spanning ten weeks from June through August 2026. Participation in the internship program requires that you are located near the London office, as the program is a hybrid work schedule, requiring you to be in the office at least 2 days per week. Should you perform well in the internship, you may receive an offer to join our full-time Data Science Excellence Program (DSEP) following the Summer Internship Program (preferably July 2027).

Responsibilities

• As a data science intern you will gain hands-on experience across the data science workflow; this includes data wrangling, modelling, visualising and evaluating performance against business objectives, and productionising.
• You may be involved in various types of insurance including motor, home, commercial property and liability.
• Your work will assist in evaluating and quantifying risk, and range from extracting data from structured and unstructured sources to process improvements such as claims assessment and decision-making to help clients manage risk more effectively.
• Project span the entire product development workflow, ranging from proof-of-concept demonstrations to illustrate specific technologies, methodologies and algorithms to robust operational systems that can be put into production.
• As a member of a project team, you will be exposed to some of the data challenges faced at Verisk’s operations potentially including large-scale data analysis (petabytes), real-time data analysis, and anomaly detection.
• All data sets with which you will work are of interest to risk assessment and valuation. These data sets include insurance policy and claims data, imagery and documents.

Qualifications

• Enrolled in the penultimate year of Bachelor's or Master’s degree with a major in Statistics, Applied Mathematics, Business Analytics, Econometrics, or related discipline.
• Strong programming capability in a common language such as Python and their associated ecosystem of open source libraries.
• Must be proficient in SQL, understanding of NoSQL query languages a plus.
• Interest in learning and using machine learning and statistical concepts (supervised, unsupervised, semi-supervised learning scenarios; optimisation and loss functions; evaluation of classification, regression, and other models; probability distributions and unbalanced samples; dimensionality problems, sampling, and Bayesian methods; missing values and imputation).

At Verisk, your growth is a priority—from professional development and tuition benefits to a supportive, flexible workplace culture, we support your continued growth.