Data Scientist

The Data Scientist 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 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