Full-Time

Senior Data Scientist

Confirmed live in the last 24 hours

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

Toronto, ON, Canada + 1 more

More locations: Kitchener, ON, Canada

Hybrid position.

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. Their products help individuals, businesses, and institutions manage financial risks and grow their wealth. Manulife generates revenue through premiums from policyholders, fees for managing assets, and investment income. The company uses advanced analytics and technology to offer personalized services, setting it apart from competitors. Manulife's goal is to assist customers in achieving their financial dreams and aspirations while fostering a supportive work environment for its employees.

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 digital retirement solutions.
  • Reinsurance transactions optimize Manulife's portfolio for higher returns and lower risk.
  • Integration of Apple Watch in Vitality Program boosts customer engagement.

What critics are saying

  • Increased competition in digital retirement solutions may impact Manulife's market share.
  • Reliance on technology partners like Vestwell poses operational risks.
  • Issuing $1 billion in subordinated debentures increases Manulife's debt load.

What makes Manulife Financial unique

  • Manulife leverages advanced analytics to offer personalized financial services.
  • The company operates in key markets: North America, Asia, and Europe.
  • Manulife's FutureStep platform offers a fully digital, advisor-centric retirement plan.

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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