Manager, Data Analytics (Senior Analyst, Applied AI & Data Science)
Core
Lead AI/ML and data science projects to develop machine learning, NLP, forecasting, recommendation, and GenAI-enabled solutions that improve staff efficiency and student experience.
Role type
Senior IC data scientist (AI/ML & GenAI)
Builds
Production ML models, NLP pipelines, GenAI solutions (RAG, AI agents), and automated data workflows for university operations.
Domain
Higher Education / Applied AI & Data Science
Deliverable
production ML models
Required skills
Python, SQL, pandas, NumPy, scikit-learn, predictive modelling, forecasting, NLP, recommendation systems, model evaluation, exploratory data analysis, GenAI/LLM application development, RAG pipelines, AI agent design, prompt engineering, Azure AI services, Azure OpenAI, Azure AI Search, OpenAI API, statistical techniques, classification, regression, clustering
Preferred skills
Postgraduate qualifications in AI/ML or software engineering, experience with vendor proposals for AI/ML methodology
Technologies
Python, SQL, pandas, NumPy, scikit-learn, Azure AI, Azure OpenAI, Azure AI Search, OpenAI API
Responsibilities
Translate operational challenges into well-defined problem statements and AI/ML solution approaches; lead AI/ML and data science projects from problem framing to implementation; design test cases and evaluation approaches to assess AI output quality; provide technical guidance to junior team members; support vendor discussions on AI/ML feasibility and requirements.
Seniority
Senior, hands-on IC