Senior Data Science Consultant, Insurance - Remote

CSAA Insurance Group, a AAA Insurer • Washington, DC

1d • $160,155 - $213,550 • Remote

About The Position

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare for the future of the insurance industry. In this highly strategic position, you will build and apply advanced simulation models to explore emerging trends and their potential impact over the next decade. Your work will help leaders evaluate scenarios, test assumptions, and make informed decisions about how CSAA can adapt, grow, and continue serving members in a rapidly changing marketplace. This role is ideal for a seasoned data science professional with deep expertise in modeling, simulation, AI, data analysis, and programming, along with the ability to translate complex findings into clear business recommendations. You will work closely with senior leaders and cross-functional teams to design simulation frameworks, interpret results, communicate assumptions and limitations, and influence decisions that may shape CSAA’s long-term strategy. Beyond delivering high-impact analytics, this person will help strengthen CSAA’s internal simulation capabilities by mentoring others and advancing the broader data science community.

Requirements

• Bachelor’s degree in STEM or bachelor’s degree with an equivalent combination of relevant education.
• Requires 10 years related professional experience with transferrable skills.
• Experience in developing data pipelines for simulations and data science models.
• Experience with fostering the culture of data scientist community.
• Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation tools).
• Deep knowledge in AI, data mining, data evaluation, and proficiency in compiling an effective and comprehensive modeling dataset.
• Strong communication skills to explain model insights to technical partners, business partners, and corporate leaders.
• Master-level data science industry knowledge and knowledge of the insurance marketplace.
• 7 years of post-bachelor experience developing statistical, ML, GenAI and LLM Models
• Lead cross-functional MLOps projects in insurance or financial services
• Experience with developing GenAI models with unstructured data
• Knowledge, Skills and Abilities Required: Master-level tool knowledge (e.g., SQL, Python, R, AWS, DataRobot, other systems)
• Depth knowledge data mining, data evaluation and proficiency in compiling an effective and comprehensive modeling dataset
• Create innovative ways to mine and use data, including semi-structured or unstructured data
• Master-level statistical, ML, GenAI and LLM modeling skills through development, deployment, monitoring
• Key partner with data governance, model governance and regulatory compliance
• Deep understanding of responsible AI principles for GenAI, including governance, compliance, legal, and ethical considerations; ability to influence internal policy around GenAI
• Key partner to the business, advising and making actionable recommendations with significant impact
• Play important role cross-functional with data, IT, governance, legal and business
• Take a leading role in shaping the culture of data science community in CSAA
• Master-level data science industry knowledge and knowledge of the insurance marketplace
• Strong communication skills to explain model insights to technical partners, business partners and corporate leaders
• Considered a leader in the field of modeling with a history of publishing articles and books, contributing to research and speaking at conferences and webinars
• Education Required Bachelor’s degree in STEM or Bachelor’s degree with an equivalent combination of relevant education
• Experience Required: Requires 10 years related professional experience with transferrable skills

Nice To Haves

• Master's degree
• CPCU, ACAS or FCAS
• Extensive knowledge of various insurance operations: pricing, product, claims, marketing, and underwriting
• History of thought leadership in modeling, including publishing, speaking at conferences, or contributing to industry collaborations.
• Considered a leader in the field of modeling with a history of publishing articles and books, contributing to research and speaking at conferences and webinars.
• Actively shapes our company culture (e.g., supporting employee resource groups, mentoring employees, volunteering, joining cross-functional projects).
• Champions our cultural norms (e.g., willing to have cameras when it matters: helping onboard new team members, building relationships, etc.).
• Demonstrates a company ownership mindset, thinking beyond boundaries of their own area.
• Travels as needed for role, including divisional / team meetings and other in-person meetings.
• Fulfills business needs, which may include investing extra time, helping other teams, etc.
• Experience shaping GenAI adoption across company
• Track record of thought leadership in GenAI, including publishing, speaking at conferences, or contributing to industry collaborations
• Familiarity with responsible AI frameworks and ability to influence internal processes and standards related to GenAI adoption
• Extensive knowledge in various insurance operations: pricing, product, claims, marketing and underwriting

Responsibilities

• Lead the design, development, and validation of simulation models (discrete-event, agent-based, system dynamics, or hybrid).
• Translate business or operational problems into robust simulation frameworks.
• Conduct scenario analysis, what-if studies, optimization, and risk analysis.
• Interpret simulation results and large datasets, delivering actionable insights to executive and technical audiences to support decision-making.
• Guide business users on model assumptions, limitations, and best practices.
• Coach and mentor junior consultants and review modeling work for quality and rigor.
• Support problem understanding and solution design, including proposals and executive presentations.
• Partner closely with data governance, model governance, and regulatory compliance teams.
• Key partner to the business, advising and making actionable recommendations with significant impact.
• Play key roles cross-functionally with data, IT, governance, legal, and business.
• Take a leading role in shaping the culture of data science community in CSAA.

Benefits

• annual bonus eligibility for most roles
• 401(k) with a company match
• company-wide annual discretionary bonus, through our Annual Incentive Plan (AIP), of up to 15% of eligible pay
• mentoring, leadership programs, tuition support and hands‑on experiences

What This Job Offers

• Job Type: Full-time
• Career Level: Senior