Job Description

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 algorithms.

Position Responsibilities:

ML Model Development: Design and refine machine learning models for fraud detection, integrating GenAI techniques to enhance capabilities. 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 coding practices for deploying ML models in cloud environments. Production Support: Provide in-production application support, investigating and resolving issues quickly and effectively. Collaboration: Work with data engineers and ML engineers to integrate data science solutions into existing systems and workflows. Communication: Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

Required Qualifications:

Strong programming skills in Python and familiarity with ML frameworks such as PyTorch and scikit-learn. Experience with Generative AI techniques and cloud platforms, specifically Azure Databricks. Advanced degree (Master's, or Ph.D.) in Computer Science, Data Science, Statistics, Engineering, or related fields.

Preferred Qualifications:

Proven experience in data science with a focus on fraud detection is preferred. Ability to implement scalable and performance-optimized solutions in cloud environments. Strong problem-solving skills and the ability to think creatively. Excellent communication skills and the ability to collaborate effectively with diverse teams.

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, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$60,900.00 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.