Sr. Data Scientist - GenAI

Manulife•Toronto, ON

14d•$129,400 - $179,400•Hybrid

About The Position

We are seeking a highly skilled and motivated Senior Data Scientist to join our Group Functions Advanced Analytics team! As a Senior Data Scientist - GenAI, you will develop and implement robust analytical solutions for various parts of Manulife and JH by applying traditional and emerging ML and AI techniques including but not limited to 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, Engineering, or a related field.
5+ years of experience in developing probabilistic models, analytics, and machine learning algorithms, including real world experience of applying analytics models, with a strong focus on machine learning, generative AI, timely engineering, and RAG applications
Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks, e.g., PyTorch, scikit-learn, Hugging Face, SQL, graph databases (Neo4j/Cypher, Cosmos DB/Gremlin).
Knowledge of professional software engineering practices & standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations.
Strong collaboration and elaboration skills; demonstrates a strong commitment to organizational success; shares resources and demonstrates knowledge across the organization.
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 optimally in multi-functional teams.

Responsibilities

Develop and lead machine learning and AI driven projects that span the breadth of Group Functions (Corporate Functions) with high business impact.
Demonstrate proficiency in developing, fine-tuning, and deploying Generative AI models such as GPT models, as well as other innovative architectures. This includes understanding the nuances of model selection, optimization, and evaluation to ensure high performance and accuracy, while managing cloud-based solutions to ensure scalability, security, and performance.
Build and optimize modular RAG (Retrieval-Augmented Generation) systems, apply advanced retrieval methods, and evaluate and monitor the performance of RAG systems.
Apply large language models (LLMs) to parse complex documents and handle diverse layouts, such as multi-column text, tables, and images, and converting them into machine-readable formats to extract structured information.
Stay up-to-date with the latest advancements in Generative AI, prompt engineering, Agentic Framework, and cloud technologies, to apply them and enhance our data science capabilities.
Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows.
Communicate sophisticated technical concepts and findings to both technical and non-technical partners, ensuring clear understanding and agreement.
Review the work of other Data Scientists and take part in model and code reviews.
Collaborate with multi-functional teams to identify and define business requirements, ensuring alignment with data science objectives.