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

Verisk is the source of innovative, data-driven content that is the foundation of the P&C Insurance industry. We are on a mission to make this content easy to search, interact with and adopt. Natural Language Analytics and innovations in machine learning are key to this mission.  

We are seeking a highly skilled and motivated NLP Engineer to join our Contract and Content Analytics team. As an NLP Engineer, you will be responsible for exploring, experimenting with, and evaluating emerging Natural Language Processing (NLP) technologies, specifically focusing on Large Language Models and Generative AI, for various insurance use cases. Your role will involve leveraging cutting-edge NLP techniques to extract valuable insights from insurance contracts and documents. You will work closely with the Product Owner and other stakeholders to develop innovative solutions that enhance our contract analytics capabilities. 

Responsibilities: 

• Research and Development: Stay up to date with the latest advancements in NLP, specifically Large Language Models and Generative AI, and explore their potential applications in the insurance domain. 
• Use Case specification: Collaborate with domain experts and other product owners to define relevant use cases and propose creative application of new technology to those use cases 
• Experimentation and Evaluation: Design, develop, and implement experiments to evaluate the performance of different NLP models and techniques for insurance use cases, including contract analysis, risk assessment, and entity extraction. 
• Model Development: Develop and refine NLP models, algorithms, and pipelines to handle large volumes of insurance contracts and documents, ensuring accuracy, scalability, and efficiency. 
• Data Preprocessing: Work on data preprocessing tasks such as text cleaning, normalization, tokenization, and feature engineering to improve the quality of input data for NLP models. 
• Model Training and Optimization: Train, fine-tune, and optimize NLP models using large-scale datasets, ensuring they meet the requirements of insurance use cases, such as entity extraction, sentiment analysis, and topic modeling. 
• Performance Evaluation: Establish appropriate metrics and evaluation frameworks to assess the performance and effectiveness of NLP models and techniques, providing insights and recommendations for improvement. 
• Collaboration and Communication: Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to integrate NLP solutions into existing systems and applications. Communicate technical concepts and findings effectively to both technical and non-technical stakeholders. 
• Documentation and Reporting: Document experiments, methodologies, and findings in a clear and concise manner. Prepare reports, presentations, and technical documentation to share insights and progress with the team and management. 

Qualifications

• Bachelor's or higher degree in Computer Science, Natural Language Processing, Machine Learning, or a related field. 
• Solid understanding of Natural Language Processing techniques, including text classification, named entity recognition, information extraction, and sentiment analysis. 
• Experience working with Large Language Models, such as GPT-3, GPT-4, or similar architectures. 
• Proficiency in programming languages commonly used in NLP, such as Python, and libraries/frameworks like TensorFlow, PyTorch, or spaCy. 
• Familiarity with data preprocessing techniques for NLP tasks, including tokenization, stemming, and text normalization. 
• Knowledge of machine learning algorithms and statistical techniques, their limitations and implementation challenges 
• Experience with cloud platforms and distributed computing environments for NLP tasks, such as AWS, Google Cloud, or Azure. 
• Excellent problem-solving skills and ability to work independently in a fast-paced environment. 
• Strong communication skills, both written and verbal, with the ability to present complex concepts to technical and non-technical audiences. 
• Previous experience in the insurance industry or working with insurance-related data is a plus. 
• Join our team as an NLP Engineer and contribute to revolutionizing contract analytics in the insurance domain. We offer a dynamic and collaborative work environment, cutting-edge technologies, and opportunities for professional growth and development. 

#LI-MC1

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.

http://www.verisk.com/careers.html

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