Job Description

Company Description
We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.


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\xe2\x80\x99s 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

Specific 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, Text Mining, Entity Resolution, Time-series Forecasting, Network Analytics, Computer Vision, and Automated Speech Recognition.
• 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\xe2\x80\x99s 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.
• Minimum 3 Years strong experience (Data Science) in NLP or Computer Vision, AI, Predictive Modelling
• Strong programming skills, particularly in one or more of Spark, SAS, R, Python, C
• A depth of knowledge in one or more of Big Data Platforms, Entity Resolution, Time-series Forecasting, Graph Databases, Network Analytics, Neural Networks, ASR
• Familiarity with SQL or NoSQL (e.g., Hadoop, HBase, MongoDB and/or Neo4j) databases
• Familiarity with SQL or NoSQL (e.g., Hadoop, HBase, MongoDB and/or Neo4j) databases
• Ability to solve problems analytically and creatively.
• Strong communication (written and oral) skills

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Additional Information
In 2022, Verisk received Great Place to Work\xc2\xae Certification for our outstanding workplace culture for the sixth year in a row and second-time certification in the UK, Spain, and India. We\xe2\x80\x99re also one of the 38 companies on the UK\xe2\x80\x99s Best Workplaces\xe2\x84\xa2 list and one of 18 companies on Spain\xe2\x80\x99s Best Workplaces\xe2\x84\xa2 list. For over fifty years and through innovation, interpretation, and professional insight, Verisk has replaced uncertainty with precision to unlock opportunities that deliver significant and demonstrable impact. From our historic roots in risk assessment, we\xe2\x80\x99ve grown to provide analytic insights that help transform industries focused on some of the world\xe2\x80\x99s most critical areas. Today, the insurance industry relies on Verisk to be, and to make the world, more productive, resilient, and sustainable.
Verisk works in collaboration with our customers and at the intersection of people, data, and advanced technologies. Through proprietary platformed analytics, advanced modeling, and interpretation, we deliver immediate and sustained value to our customers and through them, to the individuals and societies they serve, with greater speed, precision, and scale. We\xe2\x80\x99re 9,000 people strong, committed to translating big data into big ideas. We help others see new possibilities and empower certainty into big decisions that impact individuals and societies. And we relentlessly and ethically pursue innovation to help move our customers, and the world, toward better tomorrows.

Everyone at Verisk\xe2\x80\x94from our chief executive officer to our newest employee\xe2\x80\x94is guided by The Verisk Way, to Be Remarkable, Add Value, and Innovate.

• Be Remarkable by doing something better each day in service to our customers and each other
• Add Value by delivering immediate and sustained results that drive positive outcomes
• Innovate by redefining what\xe2\x80\x99s possible, embracing challenges, and pushing boundaries

Verisk Businesses Underwriting Solutions \xe2\x80\x94 provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions \xe2\x80\x94 supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions \xe2\x80\x94 offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Extreme Event Solutions \xe2\x80\x94 provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events. Specialty Business Solutions \xe2\x80\x94 provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Marketing Solutions \xe2\x80\x94 delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement Life Insurance Solutions \xe2\x80\x93 offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft \xe2\x80\x94 provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger 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. http://www.verisk.com/careers.html 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.