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 Verisk 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.
ResponsibilitiesManipulate, 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
Communication of 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 Us
Our People, Our Culture
For 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. Learn more about Verisk and what we are doing within the insurance industry.
When you join Verisk, you become part of a diverse global team with over 7,500 professionals in 30 plus countries, making work that matters. We're certified by Great Place to Work, reflecting our commitment to inclusivity, employee engagement, and wellbeing. At Verisk, your growth is a priority—from professional development and tuition benefits to a supportive, flexible workplace culture, we support your continued growth.
Our Culture: Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.
Awards & Recognition: See why Verisk is consistently recognized as a Great Place to Work™ around the world.
Our Businesses: Learn about the diverse industries we serve — from insurance and energy to financial services and beyond.
Life at Verisk: Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments.
Careers at Verisk: Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture
Let’s build something meaningful together!
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. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
At Verisk, we provide a competitive compensation package 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 a range of incentive opportunities designed based on market research and our internal grading structure.
Our benefits portfolio varies by location; however, a typical package includes 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.
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