Data Scientist

Manulife; Toronto; Hybrid; CAD 75,000 - 141,000; Full time

Job summary

A leading company in the financial services sector is seeking a Data Scientist to enhance HR capabilities using machine learning and generative AI. The role involves developing advanced analytical solutions and requires strong technical expertise in cloud platforms. Join a dynamic team focused on delivering innovative science solutions that drive business success and impact organizational growth.

Benefits

Flexible work environment

Health, dental, and wellness benefits

Retirement savings plans

Generous paid time off

Qualifications

• Proven experience as a Data Scientist with a focus on ML and Generative AI.
• Proficiency in Python and machine learning frameworks like PyTorch.
• Advanced SQL knowledge and experience with Azure ML.

Responsibilities

• Build ML technologies for HR use cases including personalization and reporting.
• Design and deploy Generative AI models on cloud platforms.
• Collaborate with Data Engineers to integrate solutions into HR systems.

Skills

Machine Learning

Generative AI

Prompt Engineering

Statistical Modelling

Data Analysis

Problem-Solving

Communication Skills

Education

Master’s degree or Ph.D. in a related field

Tools

Azure Cognitive Search

Langchain

PyTorch

scikit-learn

Job description

Join to apply for the Data Scientist role at Manulife

Join to apply for the Data Scientist role at Manulife

We are seeking an experienced and innovative Data Scientist to join our team and focus on HR-related use cases, including talent management, personalization, search capabilities, actionable insights, and reporting. In this role, you will apply your expertise in ML and AI, particularly in Generative AI, to develop and implement advanced analytical solutions! Your skills in deploying these GenAI solutions on cloud platforms will be crucial in turning data into actionable insights and driving strategic decision-making within our organization!

Position Responsibilities

• Build and apply machine learning technology for HR-related use cases
• Leverage hands-on experience with Generative AI to create innovative analytical solutions that address HR challenges and enhance business processes.
• Design and deploy Generative AI models, ensuring optimal performance, accuracy, and scalability on cloud platforms.
• Apply Retrieval-Augmented Generation (RAG) techniques for building and optimizing modular systems, use advanced retrieval methods, and monitor system performance.
• Apply large language models (LLMs) to process complex HR documents, extracting structured information from diverse layouts.
• Stay informed about the latest developments in Generative AI, machine learning, and cloud technologies to continuously improve data science capabilities.
• Collaborate with Data Engineers and ML engineers to integrate data science solutions seamlessly into existing HR systems and workflows.
• Communicate complex technical concepts and insights effectively to both technical and non-technical collaborators, ensuring clarity and understanding.
• Conduct peer reviews of other Data Scientists' work and engage in model and code review processes to maintain high-quality standards.
• Work with multi-functional teams to identify and define business requirements, ensuring alignment with data science strategies and objectives.
  
  

Required Qualifications

• Proven experience as a Data Scientist, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications.
• Hands-on experience with Gen AI-related tech stack, including Azure Cognitive Search, Langchain, Semantic Kernel, and agent frameworks like LangGraph, CrewAI or Autogen.
• Proficiency in programming languages, particularly Python, and experience with machine learning libraries/frameworks such as PyTorch and scikit-learn.
• Advanced working SQL knowledge,.
• Preferably using the Azure stack, and experience with Azure ML, Databricks, Azure Data Factory.
• Solid understanding of machine learning algorithms, statistical modelling, and data analysis techniques.
• Strong partner management skills, ability to translate sophisticated technical topics into business language, presentation skills, and the ability to balance urgency with high-quality, pragmatic solutions.
• Exceptional knowledge of professional software engineering practices and standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Collaboration and communication skills, demonstrating a commitment to organizational success and sharing resources and knowledge across the organization.
• Strong problem-solving skills and the ability to think critically and creatively to develop innovative solutions.
  
  

Preferred Qualifications

• Master’s degree, or "Ph.D. or equivalent experience
  
  

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.
  
  

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 [e-mail].

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$75,880.00 CAD - $140,920.00 CAD

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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Insurance

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