Property and Casualty, Associate Director Predictive Data Science Modeler

Posting Description:

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.

How we support our colleagues

Aon offers a comprehensive package of benefits for full-time and regular part-time colleagues, including, but not limited to: 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 throughout the calendar year, 15 days of paid vacation per year, paid sick leave as provided under state and local paid sick leave laws, short-term disability 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.

In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well.

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. People with criminal histories are encouraged to apply.

We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email [email protected]

For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances.

Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate.

Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.

Pay Transparency Laws:

The salary range for this position (intended for U.S. applicants) is $200k- $240k 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.

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