Posted on: 18/07/2025
Role Summary :
Were looking for a data-science leader who can turn raw data into clear insight and innovative AI products. Youll own projects end-to-end - from framing business questions and exploring datasets to deploying and monitoring models in the cloud. Along the way youll introduce generative-AI ideas such as chat assistants and retrieval-augmented search, steer a small team of data professionals, and work closely with product, engineering, an business stakeholders to deliver measurable value.
Key Responsibilities :
- Design and build predictive & forecasting models that drive measurable impact.
- Develop and maintain data pipelines that ensure clean, trusted, and timely datasets.
- Lead generative-AI initiatives (e.g., LLM-powered chat, RAG search, custom embeddings).
- Package, deploy, and monitor models using modern MLOps practices in public cloud.
- Establish monitoring & alerting for accuracy, latency, drift, and cost.
- Mentor and coach the team, conducting code reviews and sharing best practices.
- Translate complex findings into clear, action-oriented stories for non-technical audiences.
- Ensure data governance and privacy across all projects, meeting internal and industry standards.
- Continuously evaluate new tools & methods, running quick PoCs to keep solutions cutting-edge.
Core Skills & Experience :
- Solid foundation in statistics, experiment design, and end-to-end ML workflows.
- Strong Python and SQL; proven record of moving models from notebook to production.
- Hands-on cloud experience (AWS, Azure, or GCP) with container-based deployment and CI/CD.
- Practical exposure to generative-AI projects - prompt engineering, fine-tuning, or retrieval-augmented pipelines.
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Posted By
Posted in
Data Analytics & BI
Functional Area
Data Science
Job Code
1515331
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