Data Science Lead

The Data Science Lead will be a lead member of the AGRC North America Data & Analytics (D&A) team, driving the evolution of our advanced analytics and AI capabilities. This role is focused on designing, operationalizing, and scaling analytics, machine learning, and AI solutions that power Risk Consulting engagements.

The Data Science Lead will build robust data pipelines and models, create reusable analytics assets, and enable consultants and analysts with tools and frameworks that elevate the quality, speed, and consistency of analytics across the business. This role requires a blend of deep technical expertise, strong business understanding, and a passion for innovation, automation, and continuous improvement.

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.

What the day will look like

• Lead Advanced Analytics & AI Development: Coordinate and contribute to the design and execution of advanced analytics, machine learning, and AI solutions using claims, exposure, operational, and external data to generate high-value insights for use across Risk Consulting.
• Operationalize Scalable Data & Analytics Foundations: Build, maintain, and optimize scalable data pipelines, feature stores, and reporting frameworks using tools such as SQL, Python, Alteryx, Databricks, and Power BI/Tableau to support repeatable, production-grade analytics.
• Develop Reusable Analytics Assets: Design and productionize reusable analytics components (e.g., models, data products, templates, and automated workflows) that can be embedded into multiple client engagements and solutions.
• Data Quality, Governance, and Automation: Drive innovation in data management by profiling, cleansing, and integrating disparate data sources; define and automate data quality rules; and contribute to proactive data governance and stewardship practices.
• Continuous Improvement & Technology Adoption: Evaluate and introduce emerging analytics, AI, and automation tools and techniques to continuously enhance the team’s capabilities and efficiency.
• Mentorship & Best Practice Development: Mentor junior analysts and data professionals, promote coding and analytics best practices, and help shape standards for model development, documentation, testing, and deployment.

Skills and experience that will lead to success

Analytical & Technical Skills

Advanced analytical capabilities with a proven ability to interpret complex datasets, identify trends, and develop robust statistical, ML, and AI-driven solutions. Expertise in data profiling, cleansing, and transformation, including scripting and automation of data quality rules. Strong proficiency in managing relational databases, cloud-based data environments, and ETL/ELT processes.

Tooling & Platforms

Hands-on experience with SQL, Python, Alteryx, Power BI/Tableau, and Excel/VBA. Familiarity with Databricks and cloud platforms (Azure, AWS, or GCP). Experience working with Access and other legacy systems is a plus.

Communication & Collaboration

Ability to translate complex technical concepts into clear, business-relevant explanations for non-technical stakeholders. Strong collaboration skills, working effectively with consultants, product owners, and other technical teams.

Work Environment & Mindset

Comfortable operating in a fast-paced, performance-driven environment. Demonstrates a growth mindset, curiosity about new tools and methods, and a passion for innovation and continuous learning.

Education

Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, Data Science, or Information Management. 5–7 years of progressive experience in data analytics, business intelligence, or data science, ideally within insurance, risk management, or consulting environments. Demonstrated expertise in data modeling, statistical analysis, and predictive analytics, with hands-on experience using tools such as SQL, Python, R, and Alteryx. Proficiency in data visualization platforms (e.g., Power BI, Tableau) and experience designing client-facing dashboards and reports. Strong understanding of ETL frameworks, data warehousing concepts, and cloud-based data ecosystems (e.g., Azure, AWS, GCP, Databricks). Experience working with large, complex datasets, including structured and unstructured data from multiple sources.

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 $130,000 to $150,000 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.

A summary of all the benefits offered for this position: 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.

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