Senior Data Scientist

Senior Data Scientist

Working as a Data Scientist at Verisk means:

• Being part of and contributing to a large, vibrant community
• Understanding problems in multiple verticals including P&C Insurance, Life Insurance, Energy, Financial Services, Environmental Health and Safety, Geopolitical Security
• Applying a variety of analytic methodologies including Predictive Modeling, Machine Learning, Forecasting, Network Analytics, Natural Language Processing, Computer Vision, and Voice and Speech Analytics to develop solutions to those business problems
• Working with a diverse set of extremely rich datasets such as 19 billion detailed records of insurance premiums collected and losses paid, 90%+ of Insurance Claims in the US, 95%+ of Credit Cards transactions in the US and UK, 7 million+ Safety Data Sheets, and Information on 3 million+ oil and gas wells
• Seeing your work result in new products, product enhancements, consulting revenue, or internal process improvements on a regular basis
• Working with cutting-edge technology, and continuously developing new skills and capabilities

Purpose of the role

• Development of analytic solutions in support of increasing the efficiency of Verisk processes, enhancing Verisk’s current products, and developing new products.
• Development of analytic interns (that you are responsible for)
• Contribute to the development of the Verisk Analytic Community

Primary Goals to Be Assured

• The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability.
• The incorporation of technical innovations and new developments in relevant analytic fields
• The development of analytic interns (that you are responsible for)
• The sharing of important methodologies, advances, and best practices from your work among the whole analytics community

Responsibilities

• The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability.

• Develop analytic solutions using machine learning techniques including Predictive Modeling, Computer Vision and Generative AI.

• Ensure that solutions meet business requirements around accuracy, sophistication, and interpretability.

• Ensure that solution is delivered in a timely manner.

• The incorporation of technical innovations and new developments in relevant analytic fields

• Keep abreast of technical innovations and new developments in relevant analytic fields

• The development of analytic interns that you are responsible for

• Identify training opportunities and project opportunities that can help develop the analytic interns you are responsible for

• The sharing of important methodologies, advances, and best practices from your work among the whole analytic community

• Help organize these forums for developing Verisk’s analytic community

• Share important methodologies, advances, and best practices from your work among the whole analytic community via these forums

• Success Criteria

• Measurable contribution to products and processes in terms of new products developed, enhanced products, direct revenue supported, cost savings etc

• Positive feedback on the support received from business partners

• Advancement of analytic interns that you are responsible for

• Positive feedback from analytic interns that you are responsible for

• Positive feedback from team members and leaders of the Verisk analytic community

Qualifications

• Bachelors in quantitative field with 5-8 years of relevant experience, or Masters in quantitative field with 3-5 years of relevant experience, or PhD in quantitative field with 0-2 years relevant experience

• Strong programming skills, particularly in Python

• Ability to solve problems analytically and creatively

• Strong communication (written and oral) skills

• An in depth of knowledge of Computer Vision & Machine Learning

• Familiarity with SQL or NoSQL (e.g., Hadoop, HBase, MongoDB and/or Neo4j) databases

• Knowledge of the Auto industry and Auto Insurance would a bonus but not required

• 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.

• 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 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.

• https://www.verisk.com/company/careers/

• 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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