Data Scientist Machine Learning Jobs in Kentucky

We are looking for an FCAS to join the American Modern Predictive Analytics team as a Principal Data Scientist and play a key leadership role in advancing pricing model strategy.

American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property - such as manufactured homes and specialty dwellings - and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can't. We write admitted products in all 50 states and have a premium volume of $2.2 billion.

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of Munich Re's Global Specialty Insurance division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.

As a senior technical leader, you will drive the end-to-end development, enhancement, maintenance, and monitoring of personal lines pricing models. This role is highly visible and influential. While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts. As you grow in this role, the opportunity will extend beyond pricing, enabling you to contribute to broader predictive and decision science initiatives that support long-term enterprise strategy.

Purpose:

Use data and statistical analysis to drive business decisions and target improved results across various functional areas.

Roles & Responsibilities:

• Lead pricing model strategy for a subset of products.
• Develop, deploy, monitor, and maintain predictive models.
• Effectively collaborate with stakeholders.
• Manage filing schedules for aligned products.
• Prepare and complete predictive analytics analysis and modeling with general guidance on very complex projects.
• Participate in the development of predictive analytics and modeling presentations and present results/topics to customers (internal & external) and management as requested.
• Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.
• Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.
• Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.
• Document and communicate assumptions, results, and alternatives to team members and internal customers with guidance. Communicate with regulators when called upon to support rate filings or modeling practices in general.
• Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.
• Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand customers' requests and hidden issues and explain possible solutions in their language.
• Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.
• Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.
• Mentor junior data scientists and team members.

Required Technical Skills:

• FCAS required.
• Experience in multiple programming languages, including R and Python.
• Deep understanding of GLMs and GBMs.
• Familiarity with AI and machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing.
• Experience with Databricks or similar big data platforms is highly desirable.
• Strong understanding of data structures, algorithms, and software design patterns.
• Experience working in an agile team environment, with familiarity with Scrum or Kanban methodologies.
• Strong commitment to testing, validation, and continuous improvement of models and workflows.
• Proven experience with project management and prioritization.

Skills / Knowledge / Experience:

• Independently build models and statistical analyses.
• Effectively communicate results to business partners and help drive business decisions.
• Participate in creation and discussion of best practices and propose new techniques.
• Manage projects and direct work of more junior team members.
• Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling experience in another industry.

Education, Certifications & Designations:

• Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major. 

We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:

• Two options for your health insurance plan (PPO or High Deductible)
• Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)
• Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)
• Prescription drug coverage (included in your health insurance plan)
• Short and Long Term Disability coverage
• Vision and dental insurance plans

In addition to the above insurance offerings, our employees also enjoy:

• A robust 401k plan with up to a 5% employer match
• A retirement savings plan that is 100% company funded
• Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries
• Eligibility to receive a yearly bonus as a Munich Re employee
• A variety of health and wellness programs provided at no cost
• A hybrid environment that gives you a choice in where and how you get work done
• A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop
• An on-site complimentary workout facility as well as walking trails on campus grounds
• On-site wellness center complete with nurse practitioner
• Financial assistance for adoptions and infertility treatment
• Paid time off for eligible family care needs
• Tuition assistance and educational achievement bonuses
• Free parking
• A corporate matching gifts program that further enhances your charitable donation
• Paid time off to volunteer in your community

At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.  

We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Sometimes we are fortunate enough to receive a high volume of applications. After reviewing all applications, we will contact only the selected candidates to schedule an interview.  We are grateful for all candidates and their interest.

Applicants requiring employer sponsorship of a visa will not be considered for this position.

Level: 09

Hiring Manager: Kylie Justo

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