Data Scientist II - Gen AI & Finance Analytics

Allergan; North Chicago (IL); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Paid time off

401(k)

Job summary

AbbVie is seeking a Data Scientist II to tackle critical business needs through exploratory data analysis, feature engineering, and building predictive models. The role focuses on translating model outputs into actionable financial insights and developing solutions using generative AI to automate data analysis in financial contexts.

The position requires proficiency across data warehousing, statistics, and machine learning, with collaboration across engineering, analytics, and finance teams to

Qualifications

• Bachelor’s degree in Computer Science or Data Science with 5+ years of experience or Master’s degree with 4+ years.
• Strong programming skills in Python, R, or SQL.
• Hands-on data science and analytics experience.
• Experience with prompt engineering, fine-tuning, and evaluating generative or agentic models.

Responsibilities

• Analyze complex datasets to generate insights and predictions.
• Collaborate with engineering and business analysts to implement solutions.
• Lead solutioning for finance use cases across predictive analytics, ML, and gen AI.
• Translate business problems into analytic and AI approaches.
• Own experimentation, model evaluation, and feature design.
• Work with junior data scientists to raise output quality.
• Support prompt engineering, RAG design, evaluation frameworks, and responsible AI practices.
• Partner with architects and ML engineers to ensure deployable solutions.

Skills

Python

R

SQL

data science

prompt engineering

multitask

learn new technologies

Education

Bachelor’s degree in Computer Science or Data Science

Master’s degree in relevant field

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Tableau

Power BI

Job description

AbbVie is seeking a Data Scientist II to tackle critical business needs through exploratory data analysis, feature engineering, and building predictive models. The role focuses on translating model outputs into actionable financial insights and developing solutions using generative AI to automate data analysis in financial contexts.

The position requires proficiency across data warehousing, statistics, and machine learning, with collaboration across engineering, analytics, and finance teams to