GRO Program - AI

Manulife•Boston, MA

2d•Hybrid

About The Position

At Manulife, we believe in investing in the future starting with you! Our GRO program is a bold new approach to early talent development, designed to launch your career with the support, structure, and opportunities you need to thrive. GRO is Manulife’s flagship early talent program. It’s more than just a job, it’s a launchpad for your career. GRO offers a consistent, high-quality experience for new graduates across the organization. Launch your tech career with Manulife John Hancocks Artificia Intelligence (AI) stream of the GRO Program. This is a two-year program designed to develop future artificial intelligence leaders by contributing to the company’s ongoing initiatives in data science and machine learning. As part of GRO AI, you’ll gain access to a supportive community, and benefit from structured learning, core skills training, mentorship, and leadership exposure, empowering you to grow your skills while making a real impact. With a values-first culture, professional development at every step, and a focus on your wellbeing and accelerated career progression, GRO AI is your gateway to a meaningful and future-ready career.

Requirements

This program is designed for students currently completing undergraduate or graduate degrees who are excited to apply AI in real-world settings
Graduating in December 2026 or May 2027 with a Bachelor’s or Master’s program in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field
Basic knowledge of programming languages and concepts (e.g. Java, C, SAS, SPSS, R, or Python) and familiarity with machine learning frameworks such as PyTorch and scikit-learn
Experience with common database querying languages such as SQL
Understanding of version control (Git) and collaborative coding practices
Exposure to cloud platforms (Azure, AWS, or GCP) and tools like Databricks.
Awareness of Generative AI concepts (e.g., prompt engineering, RAG, LLM fine-tuning) and willingness to learn advanced techniques
Familiarity with data visualization tools (Power BI, Tableau, QlikView) and ability to present insights clearly.

Nice To Haves

Internship, co-op, or academic project experience in AI/ML
Understand current web technology standards and emerging technologies.
Strong problem-solving and communication skills; ability to work collaboratively in teams.
Aptitude to solve business problems with technology.

Responsibilities

Explore and prepare data; engineer features and build baseline models
Develop and evaluate machine learning models (e.g., forecasting, classification, NLP, anomaly detection)
Apply structured experimentation and performance evaluation methods
Prototype and test GenAI solutions such as: Retrieval-based systems (RAG), Summarization and extraction workflows, LLM-powered classification and decision support
Learn practical approaches to evaluation, testing, and responsible AI design
Build reproducible code and pipelines using Python, SQL, and modern tools
Collaborate with engineering teams to deploy solutions into production environments
Support monitoring, maintenance, and continuous improvement of AI systems
Contribute to model documentation, validation, and governance practices
Ensure solutions align with privacy, security, and responsible AI principles

Benefits

health
dental
mental health
vision
short- and long-term disability
life and AD&D insurance coverage
adoption/surrogacy and wellness benefits
employee/family assistance plans
retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions)
financial education and counseling resources
up to 11 paid holidays
3 personal days
150 hours of vacation
40 hours of sick time