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.

Job Description

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.
• Lead projects with up to two more junior analytic scientists
• 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 intern analysts 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.

• Design analytic solutions to identified problems
• 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
• Consider these innovations/new developments when designing analytic solutions

The development of analytic interns that you are responsible for:

• Identify training opportunities and project opportunities that can help develop the analytic interns that 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

• Bachelor’s in quantitative field with 8-12 years of relevant experience, or Master’s in quantitative field with 6-8 years of relevant experience, or PhD in quantitative field with 3-5 years relevant experience
• Strong programming skills, particularly in one or more of Spark, SAS, R, Python, C
• Ability to solve problems analytically and creatively
• Strong communication (written and oral) skills
• A depth of knowledge in one or more of Big Data Platforms, Predictive Modeling, Entity Resolution, Time-series Forecasting, Graph Databases, Network Analytics, Neural Networks, NLP, Computer Vision, ASR
• Familiarity with SQL or NoSQL (e.g., Hadoop, HBase, MongoDB and/or Neo4j) databases

Additional Information

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. 

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland.  We value learning, caring and results and make inclusivity and diversity a top priority.  In addition to our Great Place to Work® Certification, 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 and Best Employer for Women, testaments to the value we place on workplace culture.

We’re 7,000 people strong.  We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

Underwriting Solutions — 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 — 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 — 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 — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.

Specialty Business Solutions — 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 — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement

Life Insurance Solutions – 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 — 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. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

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.

https://www.verisk.com/privacy-policies/data-privacy-notice-for-employees-applicants-and-independent-contractors/