Manulife is a leading international financial services provider. The company is seeking an Associate Data Scientist to develop and implement AI and machine learning models using generative AI techniques, including prompt engineering, RAG applications, and LLM fine-tuning. The role also involves analyzing data, validating and deploying models on cloud platforms, collaborating with cross-functional teams, and communicating technical findings.
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
Qualification
Required
* 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
* 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
Benefit
Opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance
Eligible employees: customizable health, dental, mental health, and vision benefits
Eligible employees: short- and long-term disability, life, and AD&D insurance coverage
Eligible employees: adoption/surrogacy and wellness benefits
