Senior Data Scientist GenAI

We are seeking a highly skilled and motivated Senior Data Scientist to join our Group Functions Advanced Analytics team. As a Senior Data Scientist - GenAI you will develop and implement robust analytical solutions for various parts of Manulife and JH by applying traditional and emerging ML and AI techniques including but not limited to generative AI techniques such as applying prompt engineering working with RAG applications fine-tuning LLM models and deploying applications on cloud platforms like Azure. Your expertise in these areas will play a crucial role in driving data-driven decision-making and enhancing our business processes.

Position Responsibilities:

• Bachelor Masters degree or Ph.D. in Computer Science Data Science Statistics Engineering or a related field.
• 5 years of experience in developing probabilistic models data mining and machine learning algorithms including real world experience of applying analytics models with a strong focus on machine learning generative AI prompt engineering and RAG applications
• Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks e.g. PyTorch scikit-learn Hugging Face SQL graph databases (Neo4j/Cypher Cosmos DB/Gremlin).
• Knowledge of professional software engineering practices & standard methodologies for the full software development process including coding standards code reviews source control management build processes testing and operations.
• Strong collaboration and elaboration skills; demonstrates a strong commitment to organizational success; shares resources and demonstrates knowledge across the organization.
• Strong problem-solving skills and the ability to think critically and creatively to develop innovative solutions.
• Excellent communication and collaboration skills with the ability to work optimally in multi-functional teams.

Required Qualifications:

• 5 years of experience in developing probabilistic models data mining and machine learning algorithms including real world experience of applying analytics models with a strong focus on machine learning generative AI prompt engineering and RAG applications
• Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks e.g. PyTorch scikit-learn Hugging Face SQL graph databases (Neo4j/Cypher Cosmos DB/Gremlin).
• Bachelor Masters degree or Ph.D. in Computer Science Data Science Statistics Engineering or a related field.

Preferred Qualifications:

• Knowledge of professional software engineering practices & standard methodologies for the full software development process including coding standards code reviews source control management build processes testing and operations.
• Strong collaboration and elaboration skills; demonstrates a strong commitment to organizational success; shares resources and demonstrates knowledge across the organization.
• Strong problem-solving skills and the ability to think critically and creatively to develop innovative solutions.
• Excellent communication and collaboration skills with the ability to work optimally in multi-functional teams.

When you join our team:

• Well empower you to learn and grow the career you want.

• Well recognize and support you in a flexible environment where well-being and inclusion are more than just words.

• As part of our global team well 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 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 .

Referenced Salary Location

Salary range is expected to be between

If you are applying for this role outside of the primary location please contact 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 for more information about U.S.-specific paid time off provisions.