Verisk Financial

Data Scientist Associate

Job description

Company Description

Verisk Financial | Argus is a leading provider of intelligence, decision support solutions, and advisory services to financial institutions across the global commerce ecosystem. As one of the original innovators in lending, credit, fraud, and spend analytics, we integrate one of the industry’s largest sets of data to help banks, financial regulators, retailers, and media companies grow their businesses. Our clients gain competitive advantage from our exclusive focus on leveraging global best-in-class analytics and methodologies to help achieve their business and regulatory objectives.

At Verisk you can build an exciting career; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have sought and achieved the Great Place to Work® Certification for the fifth consecutive year, and we’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women. We emphasize a culture of engagement and value our inclusive and diverse workforce.

To learn more about Argus please visit us at:

Job Description

About you

You would be joining team of data scientists in our Krakow office but also collaborating with colleagues from United States and the United Kingdom. You may be recent graduate or you have 1-2 years of relevant experience.

In this role your principal responsibilities will be:

  • Build statistical models to help bank clients classify potential customers and/or quantify the risk of fraud and malicious customer intent
  • Work with other data scientists in the design and execution of data mining tools
  • Code and test programs to extract data, analyze data and build functional data models
  • Clear document model specification and performance metrics by leveraging pre-defined, specific documentation templates


Ideally you will have the following experience/skills:

  • Capability to select the optimal statistical model/machine learning methodology to solve practical business problems, as well as to perform dependent variable analysis and vintage analysis related to model development
  • Understanding of advanced statistical concepts (such as time series models, gradient boosting, regularization, etc.)
  • Ability to investigate and leverage new popular machine learning algorithms and corresponding inference, diagnostic and implementation related to the method
  • Knowledge of Python/SQL for data science applications to perform complicated data manipulation and analysis


  • Postgraduate degree in a quantitative discipline such as machine learning, applied statistics, mathematics or physics
  • 1-2 years practical experience working as a data scientist applying machine learning to real-world problems


Additional Information

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.

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.

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