Hybrid Summer AI & Data Science Intern

Manulife/John Hancock; Boston (MA); Hybrid; USD 55,000 - 72,000; Full time

Job summary

Manulife John Hancock invites highly motivated students to join its AI Internship Program in Boston for the summer. You will work on data preparation, model development, and experimentation using Python, SQL, and ML frameworks in a hybrid office setup.

You will receive mentorship, attend engaging events, and gain exposure to end-to-end data science life cycles within an enterprise AI environment. The program emphasizes learning, wellbeing, and career development.

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)
• Experience working with SQL or other data querying languages
• Understanding of version control systems (e.g., Git) and collaborative coding practices
• Interest in machine learning, data science, and emerging AI technologies

Responsibilities

• Explore, prepare, and validate data for analysis and modeling
• Build and evaluate ML models using a range of techniques with experiment design
• Support feature engineering, model development, and performance optimization
• Prototype generative AI solutions with attention to safety and effectiveness
• Develop reproducible code/workflows for data processing using Python and SQL
• Communicate insights via visualizations, reports, and presentations for diverse audiences

Skills

Data science

Machine learning

Git version control

Communication

Education

Pursuing undergrad in data science/CS/Statistics/Math/Engineering

Tools

Python

SQL

scikit-learn

PyTorch

Job description

Manulife John Hancock invites highly motivated students to join its AI Internship Program in Boston for the summer. You will work on data preparation, model development, and experimentation using Python, SQL, and ML frameworks in a hybrid office setup.

You will receive mentorship, attend engaging events, and gain exposure to end-to-end data science life cycles within an enterprise AI environment. The program emphasizes learning, wellbeing, and career development.