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 DescriptionWe are looking for someone with passion to build products & solutions for the Insurance industry using data, analytics, and GenAI.
This person has sharp problem-solving skills, eagerness to learn and excellent collaboration and communication skills.This person has successfully developed data and analytics solutions and understands best practices in data modeling, data engineering and AI Products.
To be successful the candidate needs to thrive in a highly collaborative, cross-functional teams' environment.
This position offers excellent future growth opportunities along either technology or management tracks.
If you are an experienced python engineer, who enjoys solving hard problems, is a technologist at heart who loves coding as much as building and leading a high performing team, and you are looking to create a real impact in the US Insurance ecosystem – This is the opportunity for you!Roles and responsibilities:Build end-to-end data and analytics components and solutions, using python and GenAI.
This includes architecting, designing the technical solution and leading the team in the implementation.Collaborate with application teams to integrate the solutions with the products and platforms, ensuring alignment with technology strategy and business outcomes.Architect and design reusable services leveraging and integrating frameworks, ensuring optimal performance and compatibility.Perform hands-on coding while prototyping (POC).Responsibility for the overall quality of a system, implement best practices, perform Code Reviews/Code quality checks to promote maintainable and scalable code.Serve as technology point of contact to business partners and application teams.Provide mentoring and technical guidance to junior programmers and other software engineers.Troubleshoot and perform root cause analysis.Qualifications6 -12 years of proven very good experience and proficiency with python.Proficient experience and understanding in the following technologies are a must: Python and associated libraries, RESTful API development.Good to have Cloud platforms (AWS), Databases, System design, Building data pipelines, Git, CI/CD, Linux is plus.Familiarity or hands-on experience with AI and ML concepts, prompt engineering techniques to optimize GenAI performance, evaluation and selection of appropriate models, frameworks, techniques for GenAI use cases, frameworks such as Lang chain or llama Index is highly desirable.Experienced in design and development of components and systems from ground up using engineering best practices and design patterns.Ability to learn and adapt to continuously changing technology.Excellent understanding of object-oriented design concepts and software development processes and methods.Experienced at leading teams, interacting with business partners or customers and guiding project direction.Superior organization skills, skilled at recognizing priorities and keeping the team focused on the most important features.Leadership and ability to guide technical and design working sessions.Demonstrated ability to work independently with minimal supervision.Additional InformationFor 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.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.#J-18808-Ljbffr