Lead, Data Science Internal Audit

AbbVie; North Chicago (IL); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Paid time off (vacation, holidays, sick)

Medical/dental/vision insurance

401(k) plan

Short-term incentive programs

Job summary

A leading biopharmaceutical company in North Chicago is seeking a Data Analytics professional in Internal Audit. You will design and implement advanced statistical models and collaborate with internal audit teams to improve decision-making through data insights. The ideal candidate has over 6 years of experience, a Bachelor's degree in a relevant field, and proficiency in Python, SQL, and R. The role offers comprehensive benefits and is eligible for short-term incentive programs.

Qualifications

• Minimum 6+ years of progressive, related experience.
• Proficiency in data analytics and statistical modeling techniques.

Responsibilities

• Design and implement advanced statistical models including decision trees and regression analyses.
• Develop data analytics frameworks for audit testing and monitoring.
• Collaborate with internal audit teams to align data science with audit standards.
• Build predictive models using decision trees and ensemble methods.
• Apply NLP techniques to analyze unstructured data sources.
• Create automated data pipelines and monitoring dashboards.
• Mentor junior analytics team members.
• Present complex analytical findings to stakeholders.

Skills

Python

SQL

R

Power BI

Tableau

Education

Bachelor's degree in Computer Science, Statistics, Data Science or related field

MBA or Master's in a relevant field preferred

Job description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience, and products and services in our Allergan Aesthetics portfolio.

Job Description

The Data Analytics, Internal Audit team enhances the value and impact of Internal Audit by leveraging analytics and data-driven insights to proactively identify risks, uncover opportunities for operational improvement, and support informed, objective decision-making across the enterprise.

Responsibilities

• Design and implement advanced statistical models including decision trees, regression analyses, and natural language processing (NLP) techniques to identify anomalies, patterns, and risk indicators across enterprise datasets.
• Develop and maintain population-level data analytics frameworks to support both ad-hoc audit testing requests and ongoing continuous monitoring initiatives.
• Collaborate with internal audit teams to translate audit objectives into analytical approaches, ensuring data science methodologies align with audit standards and compliance requirements.
• Build predictive models and classification algorithms using decision trees and ensemble methods to assess risk profiles and prioritize audit focus areas.
• Apply NLP techniques to analyze unstructured data sources (e.g., contracts, emails, transaction narratives) to detect potential compliance issues or fraudulent activities.
• Perform multivariate regression analyses to identify relationships between variables and quantify risk factors across business processes.
• Create automated data pipelines and monitoring dashboards to enable real-time detection of control failures or unusual transaction patterns.
• Partner with cross-functional stakeholders to define key risk indicators and develop statistical thresholds for continuous monitoring alerts.
• Mentor junior analytics team members on data science techniques, statistical best practices, and audit analytics applications.
• Stay current with emerging data science technologies and audit analytics trends to continuously enhance the team's analytical capabilities.
• Present complex analytical findings to audit leadership and business stakeholders in clear, actionable formats that support audit conclusions and recommendations.

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Data Science or a related field.
• MBA or Master’s in a relevant field preferred.
• Minimum 6+ years of progressive, related experience.
• Proficiency in Python, SQL, R, and Power BI/Tableau.

Compensation and Benefits

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
• This job is eligible to participate in our short-term incentive programs.

Equal Opportunity Employer

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html