Lead Data Scientist

Job Description

Verisk Insurance Solutions is looking for a Lead Data Scientist to join the Insurance Claims Analytics team.

• Being part of and contributing to a large, vibrant communityof Data Scientists working inP&C Insurance, Life Insurance, Energy, Financial Services, Environmental Health and Safety,andGeopolitical 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 business problems
• Working with a diverse set of extremely rich datasets such as 19billion detailed records of insurance premiums collected and losses paid, 90%+ of Insurance Claims in the US, andbillions of photos of insurance losses
• 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

• Forming part ofanAnalytics Center of Excellencewhobuild AI and machine learning products for Verisk’s P&C insurance claims verticalworldwide
• Developinganalytics solutions thathelp makemillions ofpeoplefinanciallywholemore quicklyaftersufferinglosses such as house fires, auto accidents,hailstorms, hurricanes, injuries at work, and more
• Workingonstate of the artAI solutions that sit at the core of market-leadingproductsused by thousands ofinsuranceprofessionals and consumers.
• Green-field disruption oflegacy process and systemsas you work on a wide variety of technologies and productsfrom fraud detectiontodeep learning

• The development and timely delivery of analytic solutions that meetspecified technical requirements.
• Develop analytic solutions using machine learning techniques including Predictive Modeling, Text Mining, Entity Resolution, Time-series Forecasting, Network Analytics,Computer Vision, and AutomatedSpeechRecognition
• Ensure that solutionsmeetspecified technical requirementsin a timely manner
• The sharing of important methodologies, advances, and best practices from your work among the whole analytic community

Qualifications

• Graduate degree (M.S. required, Ph.D. preferred) in a quantitative discipline
• 4+ years professional experience building machine learning and deep learning models in NLP
• Exposure to the property & casualty industry is desirable, and experience with medical, clinical, fraud & abuse and pharmacy data analytics is a big plus
• Ability to lead projects from model design to deployment
• Proficient with NLP models for classification, information retrieval, recommender systems, NER, text summarization etc.
• Experience working with large datasets
• Experience with deep learning libraries such as Tensorflow and PyTorch
• Extensive experience in Python programming
• Understanding of RDBMs and interactive SQL programming skills are a must
• Experience with Big Data technologies like Spark and Cloud technologies (AWS, Azure, etc.)
• Experience with Git, JIRA, and basic software development best practices is required
• Aptitude for picking up new technologies is expected
• Strong communication skills

#LI-SH1

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.

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.