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Added 6 mins ago
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Other
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Principal Risk Engineer, Energy & Renewables
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Manulife

Senior Data Scientist - GenAI

Toronto, ON, Canada

Pay: $129,400.00 CAD - $179,400.00 CAD
Job type: Full-time
Apply by: Oct 12, 2026
Posting language: English
Posted: Sep 28, 2026

Apply About employer

Applications open in a new tab.

Original job description

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:

Develop and lead machine learning and AI driven projects that span the breadth of Group Functions (Corporate Functions) with high business impact
Apply generative AI techniques to generate synthetic data, create realistic simulations, and enhance data analysis capabilities.
Apply prompt engineering techniques, build with RAG (Retrieval-Augmented Generation) applications, and fine-tune language models and improve their performance in specific tasks.
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 flawless 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 sophisticated technical concepts and findings to both technical and non-technical partners, ensuring clear understanding and agreement
Peer review other Data Scientists’ work and participate in model and code reviews
Clean, preprocess, and analyze large datasets to extract meaningful insights and patterns.
Collaborate with multi-functional teams to identify and define business requirements, ensuring alignment with data science objectives.

Required Qualifications:

Bachelor', Master's 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).

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:

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.

The role being advertised is an existing vacancy.

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.

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$129,400.00 CAD - $179,400.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. 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. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

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 hr@manulife.com for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

Apply About employer

More about this job

Responsibilities

Develop and implement robust analytical solutions using generative AI, machine learning, and cloud platforms to drive business decision-making. Collaborate with cross-functional teams to integrate data science models into existing workflows and communicate technical findings to stakeholders.

Requirements

Requires a Bachelor's, Master's, or Ph.D. in a quantitative field and at least 5 years of experience in probabilistic modeling and machine learning. Proficiency in Python and experience with generative AI techniques, RAG applications, and cloud platforms like Azure are essential.

Skills

Generative AI
Prompt engineering
RAG applications
Machine learning
Python
PyTorch
Scikit-learn
Hugging Face
SQL
Neo4j
Cypher
Cosmos DB
Gremlin
Azure ML
Databricks
Data mining

Benefits

Health insurance
Dental insurance
Mental health support
Vision insurance
Short-term disability
Long-term disability
Life insurance
AD&D insurance
Adoption/surrogacy benefits
Wellness benefits
Employee assistance plan
Retirement savings plans
Pension plan
Global share ownership plan
Paid time off
Holidays
Vacation
Sick days

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Generative AI
Machine Learning
Prompt Engineering
RAG
Azure
Databricks
Python
PyTorch
Scikit-learn
Hugging Face
SQL
Neo4j
Cosmos DB
Probabilistic Models
Data Mining
Advanced Analytics
Cloud Computing
Synthetic Data
Model Deployment
Software Engineering
Code Review
Data Preprocessing
Financial Services
Artificial Intelligence

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