We’re looking for a Data Scientist to join our Global Risk and Compliance team at MGS. In this role, you are expected to partner with global audit teams to develop data-driven solutions that enhance audit activities and provide meaningful insights across various business functions. You will leverage data analytics, programming, automation, and machine learning techniques to identify trends, anomalies, risks, and opportunities while helping strengthen the use of analytics across Audit Services.

Position Responsibilities:

• Collaborate with cross-functional audit teams to develop analytics-enabled solutions, including data validation, consolidation, cleansing, and quality assessment.
• Analyze structured and unstructured datasets to identify trends, patterns, anomalies, outliers, and potential compliance or control indicators.
• Develop and maintain business, system, and data knowledge across supported areas while documenting insights to strengthen the team’s analytics knowledge base.
• Communicate analytical findings and translate complex data into clear, actionable insights and visualizations for audit management and business partners.
• Support the adoption of data analytics across Audit Services by providing technical guidance and training and automating processes to improve data availability and audit efficiency.

Required Qualifications:

• Bachelor’s degree in Statistics, Computer Science, Mathematics, Data Science, or a related discipline. Advanced studies or a Master’s degree would be an advantage.
• Hands-on experience in data analytics, data management, programming, machine learning, data mining, and statistical analysis.
• Advanced programming skills in Python and SQL, with experience working with Microsoft Excel and data visualization tools such as Power BI or Tableau.
• Experience gathering, storing, retrieving, and analyzing data across various platforms, including structured and unstructured datasets.

Preferred Qualifications:

• Experience building machine learning models and applying statistical techniques such as regression, clustering, and decision trees.
• Hands-on experience or familiarity with Generative AI, text analytics, and open-source data visualization libraries.
• Experience with Microsoft Azure, Databricks, VBA, and Power Apps.
• Previous experience within the Insurance or Financial Services industry, with an interest in developing strong business and audit knowledge.
• Strong problem-solving, collaboration, and communication skills, with the ability to manage priorities, meet deadlines, adapt to change, and translate complex analysis into user-friendly insights.

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 hr@manulife.com.