Data Scientist II at Western National Group & Umialik Insurance

Edina, Minnesota, United States -

Full Time

Start Date

Immediate

Expiry Date

20 May, 26

Salary

128040.0

Posted On

19 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Modeling, Model Development, Data Extraction, Rating Methodologies, Model Monitoring, Feature Engineering, Documentation, Communication, Ad Hoc Analysis, Mentoring, SQL, Python, R, Presentation Skills, Attention To Detail, Ownership

Industry

Insurance

Description

Description Who are we? Western National Insurance Group is a private mutual insurance company with over 120 years of experience serving customers' property-and-casualty insurance needs in the Midwestern, Northwestern, and Southwestern United States. Known as “The Relationship Company®,” we define success as a measure of the relationships we’ve built over time. In everything that we do, we know that delivering a friendly and helpful interaction makes for a better experience for everyone involved. That’s the power of “nice”. At Western National, nice is something we work to bring to every person and organization with whom we partner and serve. Does this opportunity interest you? Western National is seeking a Data Scientist II to join our team! The individual in this role will have the opportunity to develop statistical models that create predictions of future policy and claim outcomes. They will participate in all phases of the modeling process. What are the responsibilities and opportunities of this role? Develops pricing models using internal and external data sets and utilizes knowledge and skillset to interpret and optimize model results and translate the output into a delivery format that can be accessed and understood by the model users. Leverages experience for faster model development and less iterations required. Understands the data extraction process, where the data is sourced from, and what each data element represents. Understands business line rating methodologies and looks for opportunities to improve our rating sophistication. Develops a sound understanding of commonly used model methodologies and clearly articulates the primary benefits and detractors of various methodologies. Develops tools to monitor production models based on loss performance, usage, system performance, and data drift. Performs feature engineering to transform data into more meaningful predictive features. Documents model development process for technical and nontechnical resources. Communicates clearly with business partners to explain the model methodology and output and helps troubleshoot issues and / or questions from business partners. Designs and executes ad hoc analyses to uncover meaningful trends and patterns, partnering with business stakeholders to drive informed decision-making. Partners with and mentors data analysts to strengthen skills in SQL, analysis design, and basic Python and R, fostering strong analytical practices across the team. Assists Data Scientist III as needed. Reviews work with manager or peers to ensure accuracy prior to disbursement. Develops work independently while regularly seeking direction, clarification on priorities, and support when needed. Uses advanced analytical and mathematical skills. Consistently acts according to our customer experience standards, including responding quickly, maintaining a positive attitude, building rapport, demonstrating empathy, managing the customer’s expectations, using the proper communication channel for the situation, and taking ownership to ensure the customer’s issue is resolved. Performs special projects and other duties as assigned. Intermediate understanding of assigned insurance lines. Requirements What are the must-have qualifications for a candidate? Intermediate understanding of assigned insurance lines. Strong presentation skills and the ability to present to technical and nontechnical audiences. Strong attention to detail, ensuring validity of data and results. Ability to take ownership of mistakes and creates solutions that prevent similar mistakes. Ability to work independently and as part of a team. Ability to prioritize work to meet project deadlines. Advanced knowledge of coding languages (e.g. SQL, Python, R, etc.) Basic understanding of BI tools (e.g. Tableau, Power BI, SSRS). Bachelor’s degree required, master’s degree in science, technology, mathematics, or business preferred. What will our ideal candidate have? Three to five years of experience in data science, actuarial analysis, and / or data analysis. Intermediate understanding of one to three insurance lines. Compensation overview The targeted hiring range for this role is $93,100 - $128,040, annually. However, the base pay offered may vary depending on the job-related knowledge, skills, credentials, and experience of each candidate, as well as other factors such as the scope and location of the role. Candidates looking for compensation outside of the posted range are encouraged to apply and will be considered based on their individual qualifications and / or may be considered for other positions. Western National Insurance Group reserves the right to fill this position at a level above or below the level included in this posting. Culture and Total Rewards Western National has long been known as “The Relationship Company®” and caring for our employees is part of that relationship commitment. We value connectiveness, empowerment, and accountability, and we believe that our employees are our biggest asset. Currently ranked as the 41st largest private company by revenue in Minnesota (Minneapolis/St. Paul Business Journal), Western National has earned accolades year-over-year as an employer of choice and garnered multiple awards for wellness in the workplace. Western National has also been named a Top Workplace by the Star Tribune for consecutive years. In addition, the Group is consistently recognized as a Ward’s 50 property-and-casualty insurance company for its outstanding financial results. Western National offers full-time employees a significant Total Rewards Package, including: Medical insurance plan options and other standard employee benefits, including dental insurance, vision benefits, life insurance, disability insurance, and more! Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA) 401(k) Plan (participants are eligible for 100% matching on the first 6% of their contributions) Wellbeing Program, including onsite fitness studio Paid Time Off – including holiday, vacation, and volunteer 100% company-paid tuition reimbursement for approved job-relevant coursework and access to The Institutes (Risk and insurance education) Paid parental leave Bonus opportunities Western National believes in supporting balance between work and life by providing a flexible work environment, which includes a variety of hybrid and remote work arrangements designed to balance individual, job, department, and company needs. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Western National provides employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Responsibilities

The Data Scientist II will develop statistical models to predict future policy and claim outcomes, participating in all phases of the modeling process, including developing pricing models using internal and external data sets. Responsibilities also include understanding data sourcing, improving rating sophistication, developing tools to monitor production models, and documenting the development process for various audiences.