Director of Data Science leading personalization, recommendation systems, and GenAI chatbot development at Gartner. Managing teams and strategic AI initiatives for enhanced client experiences.
About the role
- Associate Data Scientist designing and evaluating LLM-based applications for Manulife. Collaborating on AI initiatives and gaining experience in a supportive environment.
Responsibilities
- Design and evaluate LLM-based applications, including RAG pipelines, agentic systems, and chat interfaces.
- Conduct LLM red-teaming, bias detection, and alignment testing using comparative and statistical analysis techniques.
- Build and maintain automated evaluation frameworks for LLM outputs using embedding-based and prompt-based methods.
- Develop interactive dashboards and visualizations using Power BI to communicate insights and model performance to stakeholders.
- Integrate and test LLMs using OpenAI APIs, Databricks, and Azure AI Services.
- Collaborate on the development of fine-tuning and pre-training pipelines for domain-specific use cases.
- Work with Vector Databases (e.g., FAISS, MongoDB, Neo4j) to support RAG and semantic search capabilities.
- Participate in code reviews, documentation, and agile development cycles with the engineering team.
Requirements
- Minimum 1 year of professional (non-academic) experience in data science, machine learning, or AI-related roles.
- Strong programming skills in Python and SQL; experience with JavaScript is a plus.
- Bachelor’s or master’s degree in computer science, Data Science, AI, or a related field.
- Hands-on experience with LLM evaluation, bias detection, or alignment research (preferred).
- Proficiency in data visualization tools, especially Power BI (experience with Tableau or similar tools is a bonus).
- Familiarity with LangChain, RAG, Ollama, LLM fine-tuning, and embedding-based analysis.
- Experience with cloud platforms such as Microsoft Azure and Databricks.
- Knowledge of databases including PostgreSQL, MongoDB, Neo4j, and FAISS.
- Strong analytical thinking, attention to detail, and a passion for building responsible AI systems.
Benefits
- health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
- adoption/surrogacy and wellness benefits
- employee/family assistance plans
- various retirement savings plans (including pension)
- global share ownership plan with employer matching contributions
- financial education and counseling resources
- generous paid time off program including holidays, vacation, personal, and sick days
- full range of statutory leaves of absence
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