On-site / Hybrid by location

Cruciferai; Dubai; On-site; AED 120,000 - 190,000; Full time

Job summary

Crucifer AI in Dubai is building an AI-first learning and technology ecosystem. We are seeking a data scientist with 2–7 years of experience to help shape personalized learner experiences through ML and experimentation.

You will explore learner data, prototype ML/LLM solutions, design experiments, build data pipelines, and collaborate with engineering. This is a hands-on, high-ownership role with rapid iteration and direct access to leadership.

Qualifications

• 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.

Responsibilities

• 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.
• Iterate based on learner outcomes.

Skills

Data science experience

Python

Statistics & experimentation

ML frameworks

LLM tooling

Communication with product/learning

Tools

ML frameworks

LLM tooling

Job description

Build the intelligence behind a more personalized and responsive Academy.

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
• evaluation frameworks
• AI prototypes
• production handover
• monitoring metrics.

What you will do

• Explore learner and content data
• prototype ML/LLM solutions
• design experiments and evaluation metricsbuild data pipelines and features
• work with engineering on integration
• document assumptions and limitations
• 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

• evidence-driven
• practical
• rigorous
• comfortable with rapid iteration.
• Validated AI use cases
• 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.

We review your application, experience and the evidence you provide.

Application Review

We review your application, experience and the evidence you provide.

Introductory Conversation

A discussion of your background, teaching philosophy and the role.

Technical & Teaching Assessment

A practical exercise plus a short teach-back on a topic you choose.

A deeper session with academic and operating leadership.

Final Review & Offer

Reference checks, alignment on terms and a written offer.

Notice: An indicative timeline is shared at the introductory stage. Steps may be combined for exceptional candidates, and reasonable accommodations are available on request.