About this role
Will collaborate with various teams to deliver data-driven insights and scalable solutions that align with business objectives, while identifying opportunities for data solutions and building business cases to demonstrate their value and ROI. Additionally, research and develop ML and GenAI solutions to enhance automation, evaluate emerging technologies to improve workflows, and support change management during transitions.
Position Responsibilities:
Collaborate with multiple teams to provide data-driven insights, develop scalable data solutions, and support business objectives
Identify opportunities for data driven solutions, assess feasibility, and build business cases to demonstrate value and ROI
Research, prototype, and develop ML and GenAI powered solutions to enhance automation and decision-making processes
Evaluate and introduce emerging technologies, best practices, and tools to improve the team’s capabilities and workflows
Provide support and facilitate change management during periods of transition.
Required Qualifications:
Degree in Statistics, Math, Computer Science, Engineering, or other courses with equivalent technical experience
Minimum of 2-5 years of applicable experience with advanced knowledge of programming languages and concepts (R, Python, Pyspark)
Experience developing frontends and APIs are a plus (Javascript, C, etc.)
Experience in designing and developing AI, NLP, and LLM powered solutions
Experience working and developing solutions on the cloud (Azure, AWS, GCP) is a plus
Strong knowledge of machine learning and AI algorithms
Strong communication skills; Able to simplify complex concepts to a broad audience
Proficient in querying and analyzing both structured and unstructured data (SQL, NoSQL, JSON, MongoDB)
Ability to manage multiple concurrent projects
Knowledge in statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques
Knowledge in data visualization tools such as PowerBI, plotly, R Shiny, etc.
When you join our team:
- We’ll empower you to learn and grow the career you want.
- We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
- As part of our global team, we’ll support you in shaping the future you want to see.
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.
Manulife is an Equal Opportunity Employer
At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.
Working Arrangement
Other facts
About Manulife
Manulife is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We have more than 40,000 employees, over 116,000 agents serving ~34 million customers worldwide, and over $1.3 trillion in assets under management and administration.
Visit www.Manulife.com to find out more.
For Manulife terms of use, please visit http://bit.ly/SM_Terms
What you'll do
- The Machine Learning Engineer will collaborate with various teams to deliver data-driven insights and scalable solutions that align with business objectives. They will also research and develop ML and GenAI solutions to enhance automation and evaluate emerging technologies to improve workflows.
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