Actuarial Data Scientist (FCAS)

We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. No job title heading. No Job ID etc. Remove boilerplate. We need to parse the posting. Content: - Intro: "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." That's about the role. - Then description of company: "American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader..." This is about the company, could be part of About the role or maybe About the company. But we only have headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can put company description under About the role. - Then: "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." This is responsibilities. - Then "Purpose: Use data and statistical analysis to drive business decisions and target improved results across various functional areas." Could be part of responsibilities or separate. - Then "Roles & Responsibilities:" followed by bullet list (actually sentences separated by periods). We need to extract list items. List items after "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 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. That's a lot; we can keep as

• . Then "Required Technical Skills:" list: - 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. Then "Skills / Knowledge / Experience:" list: - 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. Then "Education, Certifications & Designations:" list: - 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. Then benefits: "We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:" then list: - 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 Then "In addition to the above insurance offerings, our employees also enjoy:" list: - 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 Then diversity statement etc (boilerplate). We should remove EEO/equal-opportunity etc. The diversity statement maybe not boilerplate but it's generic; but it's about Diversity and Inclusion. Might be considered boilerplate? The instruction: "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate". The diversity statement is not exactly EEO but could be considered similar. Safer to remove it? It's not required. We'll remove the paragraph starting "At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution..." and the following sentences about equal opportunity employer etc. Also remove the visa sponsorship line. Now we need sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We have no explicit Pay or Schedule info. So we should NOT include those sections. We have About the role (intro + company description). Responsibilities (the list). Requirements? Could be Required Technical Skills? Or maybe Requirements = Required Technical Skills. Qualifications could be Education, Certifications & Designations plus maybe experience? But we have Skills/Knowledge/Experience separate. We could map: - About the role: intro + company description. - Responsibilities: the Roles & Responsibilities list. - Requirements: Required Technical Skills. - Qualifications: Education, Certifications & Designations. - Skills: Skills / Knowledge / Experience (maybe also include Required Technical Skills? but we already used that as Requirements). We'll keep Skills as the Skills/Knowledge/Experience list. - Benefits: the benefits list. We should not repeat content. Ensure we preserve all substantive info. Let's craft HTML. We'll start with

  About the role

  then

  containing intro and company description combined. Intro: "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." Company description: "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." Combine into one

  maybe two sentences but okay. Then

  Responsibilities

  with each responsibility as
  • . Then

    Requirements

    with Required Technical Skills items. Then

    Qualifications

    with Education, Certifications & Designations items (just one item but could be multiple options; we can keep as one
    • with the options). Then

      Skills

      with Skills/Knowledge/Experience items. Then

      Benefits

      with benefits items (both insurance and additional). Could combine all into one list. Make sure not to include Pay or Schedule. Check for any boilerplate leftover: we removed diversity and visa etc. Also remove "We are an equal opportunity employer." etc. Check for any duplicated lines: we should not repeat. Now produce HTML fragment. Let's list items precisely. Responsibilities items (as per list): 1. Lead pricing model strategy for a subset of products. 2. Develop, deploy, monitor, and maintain predictive models. 3. Effectively collaborate with stakeholders. 4. Manage filing schedules for aligned products. 5. Prepare and complete predictive analytics analysis and modeling with guidance on very complex projects. 6. Participate in the development of predictive analytics and modeling presentations and present results/topics to customers (internal & external) and management as requested. 7. Concentrate on loosely defined problems which require application of creative approaches. 8. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability. 9. Complete required data preparation, including data input with guidance. 10. Identify data anomalies and seek guidance on necessary adjustments. 11. Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques. 12. Document and communicate assumptions, results, and alternatives to team members and internal customers with guidance. 13. Communicate with regulators when called upon to support rate filings or modeling practices in general. 14. Create and maintain modeling best practices and new techniques in coordination with internal and external business partners. 15. Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. 16. Understand customers' requests and hidden issues and explain possible solutions in their language. 17. Schedule and prioritize workload demands. 18. Maintain very good organization skills. 19. Complete technical peer reviews as needed. 20. 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. 21. Established relationships with multiple areas of interaction. 22. Mentor junior data scientists and team members. Requirements items (Required Technical Skills): - FCAS required. - Experience in multiple programming languages, including R and Python.