Join our dynamic Group Functions AI team as an Associate Data Scientist, where you will play a crucial role in enhancing our Global Fraud Center of Excellence. We are seeking a motivated individual with expertise in Machine Learning (ML) modeling, Generative AI (GenAI) integration, and cloud computing. You will develop sophisticated AI models and leverage cloud technologies like Azure and Databricks to process large volumes of data efficiently. Your work will directly contribute to the security and integrity of our global financial services, collaborating with cross-functional teams to design and implement cutting-edge fraud detection AI tools.
Position Responsibilities:
ML Model Development: Design and refine machine learning models for fraud detection, integrating GenAI techniques to enhance capabilities, with a focus on graph analytics and experience with graph databases like Neo4j being a plus.
Cloud Computing: Utilize Azure Databricks and other cloud platforms to efficiently process large datasets, ensuring solutions are scalable and high-performing.
Data Exploration: Conduct in-depth data exploration and preprocessing to identify patterns, trends, and anomalies within large-scale datasets.
Innovation and Improvement: Stay updated on the latest developments in ML, GenAI, and data processing methods to continuously enhance our anti-fraud analytics.
Scalable Coding: Implement scalable and performance-optimized coding practices for deploying ML models in cloud environments.
Collaboration: Work closely with business partners to translate their requirements into code and with data engineers and ML engineers to integrate data science solutions into existing workflows.
Communication: Clearly communicate complex technical concepts and findings in plain English to both technical and non-technical stakeholders.
Required Qualifications:
Strong programming skills in Python and familiarity with PySpark/Spark SQL/SparkML.
Experience with Generative AI techniques and cloud platforms, specifically Azure Databricks.
Excellent communication skills and the ability to collaborate effectively with diverse teams.
Strong problem-solving skills and the ability to think creatively.
Advanced degree (Master's, or Ph.D.) in Computer Science, Data Science, Statistics, Engineering, or related fields.
Preferred Qualifications:
1-2 years of industry experience (including co-op) in data science with a focus on fraud detection.
Experience building production ready models based on very large datasets containing millions of records.
Experience in building Q&A bots or agentic solutions for automation.
Resilient and adaptable to change, able to pivot based on outcome-driven or value-driven needs.
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.
#LI-Hybrid
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.
Referenced Salary Location
Toronto, OntarioWorking Arrangement
Salary range is expected to be between
$63,100.00 CAD - $113,100.00 CAD.If you are applying for this role outside of the primary location, please contact recruitment@manulife.com for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.
Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact recruitment@manulife.com for more information about U.S.-specific paid time off provisions.