Full-Time

Senior Data Scientist

Posted on 1/30/2025

Manulife Financial

Manulife Financial

10,001+ employees

Provides insurance, investment, and retirement solutions

Fintech
Financial Services

Compensation Overview

CA$94.2k - CA$175kAnnually

+ Incentive Programs + Incentive Compensation

Senior

Montreal, QC, Canada + 2 more

More locations: Toronto, ON, Canada | Kitchener, ON, Canada

Hybrid working arrangement; specific in-office days not mentioned.

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
Git
SQL
Machine Learning
Jenkins
LangChain
Development Operations (DevOps)
Databricks
Data Analysis

You match the following Manulife Financial's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Hands-on experience with Gen AI-related tech stack, including Azure cognitive search, Langchain, Semantic Kernel, and agent frameworks like Autogen, Vectordb. Experience in fine-tuning open-source models like Llama, Phi2 is a bonus.
  • Proven experience as a Data Scientist, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications.
  • Strong software development skills with proficiency in Python and advanced working SQL knowledge, preferably using the Azure stack and experience with Azure ML, Databricks, Azure Data Factory.
  • Experience in productionizing code through the DevOps pipeline (git, Jenkins pipeline, code scan).
  • Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
  • Over 4 years of experience with large-scale systems in data science/software engineering.
  • Bachelor's, Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, or a related field.
Responsibilities
  • Develop and implement machine learning models, focusing on Generative AI techniques and LLM, to solve sophisticated business problems, using a variety of algorithms and techniques.
  • Streamline Generative AI model development and deployment using Azure infrastructure and capabilities like cognitive search and Vectordb, and frameworks such as Langchain, Semantic Kernel, and Autogen.
  • Explore integrating Salesforce data & analytics tools with existing and developing internal ML models.
  • Apply prompt engineering techniques, work with RAG applications, and fine-tune language models to improve their performance in specific tasks.
  • Collaborate with multi-functional teams to plan, scope, implement, and sustain predictive analytics solutions.
  • 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, scalability, and cost-effectiveness.
  • Develop measurements and feedback systems, and mentor associates and peers on MLOps & LLMOps standard methodologies.
  • 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.
Desired Qualifications
  • Experience in fine-tuning open-source models like Llama, Phi2 is a bonus.

Manulife provides a variety of financial services, including life and health insurance, wealth management, and retirement solutions. The company helps individuals, businesses, and institutions manage financial risks and grow their wealth. Its products work by collecting premiums from policyholders and generating revenue through asset management fees and investment income. Manulife stands out from competitors by focusing on advanced analytics and technology to offer personalized services. The company's goal is to assist customers in achieving their financial dreams and aspirations.

Company Stage

IPO

Total Funding

N/A

Headquarters

Toronto, Canada

Founded

1887

Simplify Jobs

Simplify's Take

What believers are saying

  • Manulife's partnership with Vestwell enhances its retirement plan offerings.
  • The reinsurance transaction with RGA optimizes Manulife's portfolio for higher returns.
  • Growing demand for retirement solutions in Asia presents expansion opportunities.

What critics are saying

  • Increased competition from local insurers in Asia challenges Manulife's market share.
  • Rising interest rates may impact the profitability of life insurance products.
  • Regulatory scrutiny in North America could increase compliance costs.

What makes Manulife Financial unique

  • Manulife leverages advanced analytics for personalized financial services.
  • The company has a strong presence in North America, Asia, and Europe.
  • Manulife's commitment to innovation is evident in its technology-driven solutions.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Mental Health Support

Wellness Program

401(k) Company Match

401(k) Retirement Plan

Paid Vacation

Paid Sick Leave

Paid Holidays

Flexible Work Hours