AI Data Science Intern — Hybrid (Boston)

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

Benefits offered by this job

Mentorship

Job summary

Manulife John Hancock is offering an AI Internship Program in Boston, MA for summer 2027. You will gain hands-on experience applying data science and ML to real business problems, work with modern tools, and receive mentorship in a values-first culture.

The role blends in-office collaboration with remote flexibility on certain days, supporting your growth and practical learning. You’ll help build predictive models, explore data, and generate insights that influence decision-making while engaging

Qualifications

• Currently pursuing an undergraduate degree in data science, CS, stats, math, or engineering.
• Experience with at least one programming language and data manipulation basics.
• Familiar with ML concepts and tools like scikit-learn or PyTorch.
• Experience with SQL and version control systems such as Git.
• Interest in ML, data science, and emerging AI technologies.

Responsibilities

• Explore, prepare, and validate data for analysis and modeling.
• Build and evaluate machine learning models using various techniques.
• Support feature engineering, model development, and performance optimization.
• Prototype generative AI solutions with focus on safety and effectiveness.
• Develop reproducible code and workflows using Python and SQL.
• Communicate insights through visualizations, reports, and presentations.

Skills

Python

SQL

Git

Machine Learning concepts

Data manipulation

Collaboration practices

Education

Undergraduate degree in Data Science / Computer Science / Statistics / Mathematics / Engineering

Job description

Manulife John Hancock is offering an AI Internship Program in Boston, MA for summer 2027. You will gain hands-on experience applying data science and ML to real business problems, work with modern tools, and receive mentorship in a values-first culture.

The role blends in-office collaboration with remote flexibility on certain days, supporting your growth and practical learning. You’ll help build predictive models, explore data, and generate insights that influence decision-making while engaging