Data Scientist / AI Engineer / Analytics Engineer

About the role

Develop data and AI-powered solutions — predictive models, automated pipelines, intelligence layers — that drive real outcomes and reduce the need for manual intervention. Build and maintain scalable, reliable data infrastructure, including robust data pipelines, foundational data models, and comprehensive data quality checks that the wider team can trust and build upon.

What you'll do

• Own analytics and AI solutions end-to-end: diagnose the root cause, build the solution, and follow it through to a business decision and measurable outcome
• Develop data and AI-powered solutions — predictive models, automated pipelines, intelligence layers — that drive real outcomes and reduce the need for manual intervention
• Build and maintain scalable, reliable data infrastructure, including robust data pipelines, foundational data models
• Build and optimize the analytics intelligence layer to ensure the automated, scheduled delivery of granular insights to the appropriate stakeholders

What you need

• 1–3 years in data science & ai
• Analytics
• ETL
• Any graduate