AI Summer Intern: Data Science & ML, Hybrid

Manulife Financial; Boston (MA); Hybrid; USD 55,000 - 72,000; Full time

Benefits offered by this job

Mentorship

GRO early talent program

Job summary

Manulife John Hancock offers an AI Internship Program in Boston, MA, for summer 2027. You will apply data science and machine learning to real business problems, work with Python and SQL, and gain mentorship in a values-first culture.

The internship runs June 1st–August 12th, 2027, with a hybrid in-office schedule Tue–Thu and remote Mon/Fri, and includes exposure to end-to-end data science lifecycles in an enterprise setting.

Qualifications

• Currently pursuing an undergraduate degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Experience with at least one programming language (e.g., Python, R, Java) and familiarity with data manipulation techniques.
• Familiarity with machine learning concepts and tools (e.g., scikit-learn, PyTorch, or similar frameworks).

Responsibilities

• Explore, prepare, and validate data while ensuring data quality and consistency for analysis and modeling.
• Build and evaluate machine learning models using a range of techniques, with thoughtful experiment design and documentation.
• Support feature engineering, model development, and performance optimization.
• Prototype generative AI solutions with a focus on safety and effectiveness.
• Develop reproducible code and workflows for data processing and modeling using Python and SQL.
• Communicate insights through clear visualizations, reports, and presentations for technical and non-technical audiences.

Skills

Python

SQL

Git

ML basics

Education

Undergraduate Data Science/CS/Statistics

Tools

scikit-learn

PyTorch

Databricks

SQL

Job description

Manulife John Hancock offers an AI Internship Program in Boston, MA, for summer 2027. You will apply data science and machine learning to real business problems, work with Python and SQL, and gain mentorship in a values-first culture.

The internship runs June 1st–August 12th, 2027, with a hybrid in-office schedule Tue–Thu and remote Mon/Fri, and includes exposure to end-to-end data science lifecycles in an enterprise setting.