Associate Data Scientist - GenAI

Manulife Financial; Toronto; Hybrid; CAD 69,000 - 116,000; Full time

Job summary

A leading international financial services company is seeking an Associate Data Scientist in Toronto. The role involves developing and implementing AI and Machine Learning models using advanced techniques like generative AI and prompt engineering. The ideal candidate will possess strong skills in data analysis and machine learning, and be proficient in Python and associated libraries. This position offers a hybrid working arrangement and a competitive salary range between $69,525.00 and $115,875.00 CAD, along with robust employee benefits.

Benefits

Health and dental benefits

Mental health and wellness programs

Retirement savings plans

Generous paid time off

Qualifications

• Proven experience as a Data Scientist with a focus on machine learning and generative AI.
• Solid understanding of machine learning algorithms and statistical modeling.
• Proficiency in Python and relevant libraries for machine learning.

Responsibilities

• Develop and implement AI models for complex business problems.
• Clean, preprocess, and analyze large datasets for insights.
• Deploy machine learning models on cloud platforms like Azure.

Skills

Machine learning

Generative AI

Prompt engineering

Data analysis

Statistical modeling

Education

Bachelor's, Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, or a related field

Tools

Python

PyTorch

scikit-learn

Hugging Face

Job description

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, Master's 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

• 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.

關於宏利和恒康

宏利金融公司是一家業界領先的國際金融服務商，致力於幫助人們實現「輕鬆投資理財，樂享豐盛人生」。若要進一步了解我們，請瀏覽 https://www.manulifeim.com/institutional/tw/en。

宏利是平等機會僱主

在宏利／恒康，我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度，我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。

我們的首要任務是消除障礙，為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。申請人要求提供協助所分享的信息將會按照適用法律及宏利／恒康政策儲存及使用。應徵過程中如需協助，請聯絡 [e-mail]。

Referenced Salary Location

Toronto, Ontario

Working Arrangement

混合式

Salary range is expected to be between

$69,525.00 CAD - $115,875.00 CAD

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.