Internship Data Science

About the position

The Data Science Internship at AF Group offers an opportunity for students to gain hands-on experience in applying statistics, machine learning, and natural language processing to solve real-world business challenges. Interns will work closely with the data science team to deliver insights that support claims and pricing operations, while also learning about the insurance industry.

Responsibilities

• Perform exploratory data analysis and feature engineering.
• Build predictive models using supervised and unsupervised learning approaches on structured and unstructured data.
• Train natural language processing models to extract information from notes and scanned documents.
• Conduct hyper-parameter tuning and feature selection.
• Evaluate model performance and create exhibits such as lift charts.
• Research new machine learning and statistics algorithms/concepts/frameworks.
• Communicate results via presentations, reports, and dashboards to both technical and nontechnical stakeholders.
• Assist with peer review of code.
• Learn about risk, pricing, claims handling and gain an in-depth understanding of property and casualty insurance.
• Attend sprint planning and daily standups and present work completed during biweekly sprint reviews.

Requirements

• Must be a senior undergraduate or graduate student (MS/MA) as of the end of the spring term.
• Hold a cumulative GPA of 3.0 or better as of the most recent grading period.
• Ability to work full-time during normal business hours for the summer.
• Available to begin employment between mid-May and mid-June.
• Pursuing a bachelor's or master's degree in Data Science, Statistics, Computer Science, Mathematics, Operations Research, Engineering, Physics, Actuarial Science, or a similar analytical STEM field.
• Strong knowledge of statistical modeling and machine learning algorithms.
• Intermediate Python programming skills, including knowledge of packages such as pandas, matplotlib, NumPy, and scikit-learn.
• Working knowledge of SQL and relational databases.
• Knowledge of natural language processing concepts.

Nice-to-haves

• Experience with Git and cloud resources like Azure or AWS.
• Good coding habits.

Benefits

• Hands-on experience in a professional setting.
• Opportunity to learn about the insurance industry.
• Networking opportunities within the company.