Description:
Help develop and implement robust analytical solutions for various parts of Manulife and JH businesses, using both traditional and emerging machine learning and AI techniques including but not limited to outlier detection, link analysis, and deploying applications on cloud platforms like Azure. Your work in these areas will play a crucial role in driving data-driven decision-making and enhancing our business processes.
Responsibilities:
- Develop and manage machine learning and AI driven projects that span the breadth of Group Functions (Corporate Functions) with high impact on fraud detection and prevention, cost savings, expense efficiency, operational insights, customer satisfaction, etc.
- Develop analytical solutions using ML, graph analytics and link analysis, etc. to support investigations of fraud or misconduct.
- Clean, preprocess, and analyze large datasets to extract meaningful insights and patterns.
- Collaborate with multi-functional teams to identify and define business requirements, ensuring alignment with data science objectives.
- Design and implement 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.
- 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 consensus.
Preferred Skills and Experience:
- Bachelor/Master's degree + in Computer Science, Data Science, Statistics, Engineering, or a related field.
- 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 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 effectively in multi-functional teams.