Property and Casualty, Associate Director Predictive Data Science Modeler
Aon, Bloomington, MN, United States
Associate Director, Data Science - P&C Predictive Modeling
Location: Hybrid (Chicago, Minneapolis, New York)
Role Overview Aon's Strategy & Technology Group is seeking a senior data scientist to help build and scale a predictive modeling advisory capability focused on property & casualty insurance. This role supports complex client engagements across both pricing and non-pricing modeling use cases and contributes to the development of a differentiated predictive analytics offering within STG. The role blends advanced hands‑on predictive modeling with client advisory work. The successful candidate will design, build, and deploy models that support underwriting, pricing, retention, claims, and marketing decisions, while working closely with client stakeholders to ensure analytical solutions are practical, interpretable, and aligned with business objectives.
Key Responsibilities
Design, develop, and deploy predictive models across P&C insurance use cases, including pricing models, retention modeling, underwriting segmentation, claims analytics, and marketing optimization.
Apply advanced statistical and machine learning techniques (e.g., GLMs, tree‑based models, gradient boosting, and related approaches) to large, complex insurance datasets.
Translate business problems into analytical solutions and clearly communicate results to both technical and non‑technical audiences.
Lead or support client engagements from problem definition through delivery, ensuring analytical rigor and actionable outcomes.
Partner with underwriting, product, claims, data engineering, and technology teams to deliver integrated modeling solutions.
Provide technical leadership, mentorship, and guidance to junior team members and contribute to internal modeling best practices.
Support proposal development, client presentations, and thought leadership as needed in collaboration with senior leadership.
Qualifications
7+ years of predictive modeling experience within property & casualty insurance.
Advanced degree preferred (Master's or PhD) in Statistics, Data Science, Mathematics, Computer Science, Economics, or a related quantitative field.
CSPA or similar advanced analytics credential preferred.
Deep expertise in statistical modeling and machine learning using Python and/or R, including end-to-end model development, validation, and interpretation.
Strong proficiency in SQL and experience working with large, structured datasets.
Demonstrated ability to apply predictive modeling in client or stakeholder settings to inform real business decisions.
Prior experience managing or mentoring analysts or data scientists preferred.
Strong written and verbal communication skills, with the ability to explain complex analytical concepts clearly and concisely.
Pay Transparency The salary range for this position (intended for U.S. applicants) is $200,000-$240,000 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location. This position is eligible to participate in one of Aon's annual incentive plans to receive an annual discretionary bonus in addition to base salary. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan.
Benefits Aon offers a comprehensive package of benefits for full‑time and regular part‑time colleagues, including a 401(k) savings plan with employer contributions; an employee stock purchase plan; consideration for long‑term incentive awards at Aon's discretion; medical, dental and vision insurance; various types of leaves of absence; paid time off (including 12 paid holidays, 15 days of paid vacation per year, and sick leave); short‑term and optional long‑term disability; health savings account; health care and dependent care reimbursement accounts; employee and dependent life insurance and supplemental life and AD&D insurance; optional personal insurance policies; adoption assistance; tuition assistance; commuter benefits; and an employee assistance program that includes free counseling sessions. Eligibility for benefits is governed by the applicable plan documents and policies.
EEO Statement For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with an arrest and conviction record in accordance with local Fair Chance ordinances.
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Role Overview Aon's Strategy & Technology Group is seeking a senior data scientist to help build and scale a predictive modeling advisory capability focused on property & casualty insurance. This role supports complex client engagements across both pricing and non-pricing modeling use cases and contributes to the development of a differentiated predictive analytics offering within STG. The role blends advanced hands‑on predictive modeling with client advisory work. The successful candidate will design, build, and deploy models that support underwriting, pricing, retention, claims, and marketing decisions, while working closely with client stakeholders to ensure analytical solutions are practical, interpretable, and aligned with business objectives.
Key Responsibilities
Design, develop, and deploy predictive models across P&C insurance use cases, including pricing models, retention modeling, underwriting segmentation, claims analytics, and marketing optimization.
Apply advanced statistical and machine learning techniques (e.g., GLMs, tree‑based models, gradient boosting, and related approaches) to large, complex insurance datasets.
Translate business problems into analytical solutions and clearly communicate results to both technical and non‑technical audiences.
Lead or support client engagements from problem definition through delivery, ensuring analytical rigor and actionable outcomes.
Partner with underwriting, product, claims, data engineering, and technology teams to deliver integrated modeling solutions.
Provide technical leadership, mentorship, and guidance to junior team members and contribute to internal modeling best practices.
Support proposal development, client presentations, and thought leadership as needed in collaboration with senior leadership.
Qualifications
7+ years of predictive modeling experience within property & casualty insurance.
Advanced degree preferred (Master's or PhD) in Statistics, Data Science, Mathematics, Computer Science, Economics, or a related quantitative field.
CSPA or similar advanced analytics credential preferred.
Deep expertise in statistical modeling and machine learning using Python and/or R, including end-to-end model development, validation, and interpretation.
Strong proficiency in SQL and experience working with large, structured datasets.
Demonstrated ability to apply predictive modeling in client or stakeholder settings to inform real business decisions.
Prior experience managing or mentoring analysts or data scientists preferred.
Strong written and verbal communication skills, with the ability to explain complex analytical concepts clearly and concisely.
Pay Transparency The salary range for this position (intended for U.S. applicants) is $200,000-$240,000 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location. This position is eligible to participate in one of Aon's annual incentive plans to receive an annual discretionary bonus in addition to base salary. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan.
Benefits Aon offers a comprehensive package of benefits for full‑time and regular part‑time colleagues, including a 401(k) savings plan with employer contributions; an employee stock purchase plan; consideration for long‑term incentive awards at Aon's discretion; medical, dental and vision insurance; various types of leaves of absence; paid time off (including 12 paid holidays, 15 days of paid vacation per year, and sick leave); short‑term and optional long‑term disability; health savings account; health care and dependent care reimbursement accounts; employee and dependent life insurance and supplemental life and AD&D insurance; optional personal insurance policies; adoption assistance; tuition assistance; commuter benefits; and an employee assistance program that includes free counseling sessions. Eligibility for benefits is governed by the applicable plan documents and policies.
EEO Statement For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with an arrest and conviction record in accordance with local Fair Chance ordinances.
#J-18808-Ljbffr