Associate Data Scientist GenAI

We are seeking a highly skilled and motivated Associate Data Scientist to join our team. You will be responsible for developing and implementing AI and Machine Learning models using 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:

• Develop and implement AI models to solve complex business problems using a variety of algorithms and techniques.
• Clean preprocess and analyze large datasets to extract meaningful insights and patterns.
• Apply prompt engineering techniques build with RAG (Retrieval-Augmented Generation) applications and fine-tune language models and improve their performance in specific tasks.
• Collaborate with multi-functional teams to identify and define business requirements ensuring alignment with data science objectives.
• Apply generative AI techniques to generate synthetic data create realistic simulations and enhance data analysis capabilities.
• Design and complete experiments to validate and optimize machine learning models ensuring accuracy efficiency and scalability.
• Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks ensuring seamless integration and scalability.
• Stay up-to-date with the latest advancements in machine learning generative AI prompt engineering RAG applications and cloud technologies and apply them to enhance our data science capabilities.
• Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows.
• Communicate complex technical concepts and findings to both technical and non-technical partners ensuring clear understanding and agreement.

Required Qualifications:

• Bachelor Masters degree or Ph.D. in Computer Science Data Science Statistics or a related field.
• Proven experience as a Data Scientist including internships or coops with a strong focus on machine learning generative AI prompt engineering and RAG applications.
• Solid understanding of machine learning algorithms statistical modeling and data analysis techniques.
• Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks (e.g. PyTorch scikit-learn Hugging Face).

Preferred Qualifications:

• 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 effectively 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.