Who We Are

Insurity’s vision is all about empowerment. Empowering insurance organizations to quickly capitalize on new opportunities by delivering the world’s most configurable, cloud-native, easy-to-use, and intuitively analytical software. It’s also about empowering our team members through tools, training, teamwork, and professional development opportunities.

To talk the talk, we must walk the walk. We are the largest cloud-based insurance software provider for the Property & Casualty market. In 2021, we were trusted by 15 of the top 25 P&C carriers – now, in 2024, we are trusted by 22 of the top 25 P&C carriers. That’s proof we walk the walk. While our product suites are some of the most compelling in the industry, it’s our team members who deliver the exceptional value and unrivaled industry expertise our customers appreciate from us.

Our team tells us over and over; working at Insurity offers you the opportunity to collaborate with and learn from some of the most creative and knowledgeable minds in insurance technology. You’ll feel welcomed even before you start your first day with us through our award-winning onboarding program.

Take the first step to joining our team by applying today and we look forward to seeing #UatInsurity.

Insurity’s Next Sr. Data Scientist

Our Sr. Data Scientist will be an integral part of Insurity Analytics, working closely and collaboratively with insurance domain authorities, data analysts, engineers, and customers. They will develop highly robust predictive models that provide significant and measurable results for our customers. Additionally, they will partner with the sales and marketing teams to perform then deliver modeling proofs-of-concept & retro-tests, as well as help craft and deliver compelling product performance reads, product & concept education, and value proposition messaging.

What Our Sr. Data Scientist Will Do

Conduct and lead advanced analytics activities leveraging predictive modeling, machine learning, simulation, optimization, and other techniques to deliver insights or develop analytical solutions to achieve business objectives.
Prepare and present written and verbal reports, findings, and presentations to key stakeholders, distilling complex statistical information into easy-to-understand business language.
Effectively represent the Data Science group in a collaborative environment to execute on company goals.
Support Subject Matter Experts on efforts to develop scalable and robust solutions.
Translate complex analytical and technical concepts for the non-technical team members to enable understanding and drive informed business decisions

Who We’re Looking For

3-5 years’ experience
Bachelor’s degree in related field (equivalent work experience may be considered)
Highly proficient knowledge and experience with statistical modeling software, data visualization software & tools, version control systems, and databases/data structures.
Fundamental understanding of programming and scripting experience
Exemplary relationship builder with coworkers and customers
Ability to effectively complete process analysis, design, and management
Detail-oriented and has excellent time management skills including work planning, prioritization, and organization.

What’s In It For U

Flex First Workforce: Do your work best from home or from one of our office locations; it’s your choice.
Generous Time Off: Our leadership believes in taking the time you need when you need it through our Open PTO Policy.
Day One Health Benefits + Employer-Matched Retirement Savings: You might think these are table stakes, but we know these matter to you.
More Than Just Core Values: Our values are fundamental in how we attract, train, and retain top talent.
Award-Winning Onboarding Program: We set you up from the get-go to make a significant impact from Day One and follow you through your entire first year.
Real Career Growth Opportunities: We love to promote from within with over 20% of our open roles filled through internal applicants on average.
Mentorship Program: We support a champion culture and growth mindset by pairing you with experienced, talented leaders to help you grow personally and professionally.
Internal Networking: Build relationships, network, collaborate, and stay connected with colleagues internally with our one-of-a kind online Coffee for Two program.
Continuous Learning Opportunities: Own your development with your own LinkedIn Learning and Kaplan licenses.
Discounted University Tuition: Employees and their families can start or continue their university career with less out-of-pocket investment through our partnerships with the University of Arizona Global Campus.
Employee Referral Bonus: Once you come onboard, give Insurity the biggest compliment you can give by referring someone to work here and earn a cash bonus.

We have five Core Values at Insurity; one of which is to Act with Integrity. Providing pay transparency helps you make the best decision for you. We continuously analyze and update our salary ranges for our roles according to market trends to not only ensure our employees are paid fairly, but also help close gender, race, and disability wage gaps. Along with the benefits listed above, the salary range for this role is $140,000 - $220,000, commensurate with experience.

Insurity is proud to be an Equal Opportunity Employer

We are dedicated to creating an exceptional work environment for all our employees by extending a culture of diversity, equity, inclusion, and belonging into the very fabric of our organization. We embrace differences and diversity of identity, experience, and thought, and actively strive for inclusive behaviors across our company.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application and/or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Thank you for your interest in Insurity! Please understand that due to the volume of applicants we receive, only selected candidates will be contacted.

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Sr. Data Scientist

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