Associate Data Scientist - GenAI

Manulife • Toronto, ON

5d • CA$69,525 - CA$115,875 • Hybrid

About The Position

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.

Requirements

• 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).

Nice To Haves

• 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.

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.

Benefits

• 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.
• various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree