Data Scientist – Academy AI

What you will be here to achieve

Develop, evaluate and improve AI/data-science capabilities that power personalization, learner support, recommendations, assessment intelligence and other Academy AI experiences.

The outcomes you will own

• Models and experiments
• learner-data pipelines
• evaluation frameworks
• personalization logic
• AI prototypes
• production handover
• monitoring metrics.

What you will do

• Explore learner and content data
• prototype ML/LLM solutions
• design experiments and evaluation metrics
• build data pipelines and features
• work with engineering on integration
• document assumptions and limitations
• monitor model quality
• iterate based on learner outcomes.

What you must bring

• 2–7 years in data science, machine learning or applied AI
• strong Python
• statistics and experimentation
• experience with ML frameworks and modern LLM tooling
• ability to communicate model behavior to product and learning teams.

What will differentiate you

• Experimental mindset
• evidence-driven
• practical
• rigorous
• collaborative
• comfortable with rapid iteration.

Key deliverables

• Validated AI use cases
• model/evaluation quality
• speed from hypothesis to prototype
• reliable handover to engineering
• measurable improvement in learner experience or operational efficiency.

Why Crucifer

Crucifer AI is building an AI-first learning and technology ecosystem from the ground up. You will work in a high-ownership environment where ideas are expected to become working outcomes quickly, with direct access to senior leadership and the opportunity to shape systems before they become fixed.