Data Science/ DSEP Participant

Verisk's Data Science Excellence Program (DSEP) is a 3-year rotational program designed to develop the next generation of data scientists and data engineers. The program consists of two 18-month rotations within Verisk's various analytics teams as a full-time employee. 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 the insurance business area. 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 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, real-time data analysis, and anomaly detection. Data sets of interest include insurance policy and claims data, imagery and documents.

Responsibilities

Manipulate, 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

Communicate complex quantitative analysis in a clear, precise, and actionable manner

Demonstrate a 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 other competitions

Currently starting the penultimate year of a Bachelor's or Master's degree in a technical field of study (e.g., statistics, business analytics, econometrics), with an expected graduation date in summer 2026

Strong programming capability in a common language such as Python and its associated ecosystem of open-source libraries

Proficient in SQL. Understanding of NoSQL query languages a plus

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

Understanding of one or more machine learning or statistical concepts

Supervised, unsupervised, semi-supervised learning scenarios

Optimisation 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

Experience In One Or More Of The Following

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

Computer vision working with images, videos, or point clouds

Natural language processing working with short or long-form text

Large scale mathematical programming and/or optimization problems

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

About UsFor more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer, testaments to the value we place on workplace culture. Our people-first culture fosters innovation, collaboration, and belonging. We are an inclusive, people-first culture that encourages growth, purpose, and a people-first culture. Learn more about our businesses spanning insurance, energy, financial services, and beyond. Equal Opportunity & EEOVerisk 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. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. The compensation package is aligned with market benchmarks and individual experience, disclosed transparently in accordance with applicable pay transparency regulations. In addition to base salary, eligible roles may include incentive opportunities designed based on market research and our internal grading structure. Benefits include medical coverage, life insurance, pension plans, and paid time off in line with local labor laws. We also foster a work environment focused on well-being and career development. Additional perks may include wellness initiatives, fitness programs, and team-building activities.