DSEP Data Scientist
Role details
Job location
Tech stack
Job description
- 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
- 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
Requirements
- 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
Benefits & conditions
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.
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.