GRO Program - AI
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
- 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
- paid holidays
- vacation
- personal
- sick days
- full range of statutory leaves of absence
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree
