Manulife
SeniorDataScientist-GenAI
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Scientist - GenAI at Manulife. Skills: Generative AI, machine learning, Python, SQL, cloud platforms. Build and apply machine learning technology for HR-related use cases. Leverage hands-on experience with Generative AI to create innovative analytical solutions that address HR challenges and enhance business processes”
What You'll Achieve.
turning data into actionable insights; driving strategic decision-making within our organization; enhance business processes; ensuring optimal performance, accuracy, and scalability on cloud platforms; maintaining high-quality standards; ensuring alignment with data science strategies and objectives
Industry & Context.
problem-solving skills; ability to think critically and creatively to develop innovative solutions
What They're Looking For.
Must Have
Proven experience as a Senior Data Scientist, focus on machine learning, generative AI, prompt engineering, RAG applications, Hands-on experience with Gen AI-related tech stack, Azure Cognitive Search, Langchain, Semantic Kernel, agent frameworks like LangGraph, CrewAI or Autogen, Proficiency in programming languages, particularly Python, experience with machine learning libraries/frameworks such as PyTorch and scikit-learn, Advanced working SQL knowledge, Solid understanding of machine learning algorithms, statistical modelling, data analysis techniques, partner management skills, ability to translate sophisticated technical topics into business language, presentation skills, ability to balance urgency with high-quality, pragmatic solutions, Exceptional knowledge of professional software engineering practices and standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations, Collaboration and communication skills, commitment to organizational success, sharing resources and knowledge across the organization, problem-solving skills, ability to think critically and creatively to develop innovative solutions
Nice to Have
Master’s degree, or "Ph. D. or equivalent experience, Preferably using the Azure stack, experience with Azure ML, Databricks, Azure Data Factory
What You'll Do.
Build and apply machine learning technology for HR-related use cases
Leverage hands-on experience with Generative AI to create innovative analytical solutions that address HR challenges and enhance business processes
Design and deploy Generative AI models
ensuring optimal performance
and scalability on cloud platforms
Apply Retrieval-Augmented Generation (RAG) techniques for building and optimizing modular systems
use advanced retrieval methods
monitor system performance
Apply large language models (LLMs) to process complex HR documents
extracting structured information from diverse layouts
Stay informed about the latest developments in Generative AI
and cloud technologies to continuously improve data science capabilities
Conduct peer reviews of other Data Scientists' work
engage in model and code review processes to maintain high-quality standards
How You'll Work.
Team & Collaboration
Collaborate with Data Engineers and ML engineers to integrate data science solutions seamlessly into existing HR systems and workflows; Communicate complex technical concepts and insights effectively to both technical and non-technical collaborators, ensuring clarity and understanding; Work with multi-functional teams to identify and define business requirements, ensuring alignment with data science strategies and objectives; sharing resources and knowledge across the organization
Communication Scope
Communicate complex technical concepts and insights effectively to both technical and non-technical collaborators, ensuring clarity and understanding; presentation skills
Full Job Description
We are seeking an experienced and innovative Senior Data Scientist to join our team and focus on HR-related use cases, including talent management, personalization, search capabilities, actionable insights, and reporting. In this role, you will apply your expertise in ML and AI, particularly in Generative AI, to develop and implement advanced analytical solutions! Your skills in deploying these GenAI solutions on cloud platforms will be crucial in turning data into actionable insights and driving strategic decision-making within our organization! **Position Responsibilities:** * Build and apply machine learning technology for HR-related use cases * Leverage hands-on experience with Generative AI to create innovative analytical solutions that address HR challenges and enhance business processes. * Design and deploy Generative AI models, ensuring optimal performance, accuracy, and scalability on cloud platforms. * Apply Retrieval-Augmented Generation (RAG) techniques for building and optimizing modular systems, use advanced retrieval methods, and monitor system performance. * Apply large language models (LLMs) to process complex HR documents, extracting structured information from diverse layouts. * Stay informed about the latest developments in Generative AI, machine learning, and cloud technologies to continuously improve data science capabilities. * Collaborate with Data Engineers and ML engineers to integrate data science solutions seamlessly into existing HR systems and workflows. * Communicate complex technical concepts and insights effectively to both technical and non-technical collaborators, ensuring clarity and understanding. * Conduct peer reviews of other Data Scientists' work and engage in model and code review processes to maintain high-quality standards. * Work with multi-functional teams to identify and define business requirements, ensuring alignment with data science strategies and objectives. **Required Qualifications:** * Proven experience as a Sen
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