1
4–7 years of data science experience
2
Proficiency in SQL and Excel
3
Production engineering best practices: Git, Docker
4
Working knowledge of AWS Cloud
5
Foundational ML: regression, classification, optimisation techniques
1
Analyse structured and unstructured data; build and deploy ML models
2
Collaborate cross-functionally for scalable, actionable insights
3
Design and execute A/B testing experiments
4
Develop subject matter expertise across diverse project domains
5
Translate analytical findings into clear recommendations for stakeholders
6
Work with data engineering to operationalise models and pipelines
7
Create visualisations to communicate data insights effectively
8
Stay updated on emerging data science tools and techniques
