1958 Data Scientist (Senior)

• Strong communication skills with ability to engage both technical and non-technical stakeholders effectively


• Experience interpreting business needs and converting them into actionable proposals and implementations


• Proven background in Data Science or related technical field (statistics, computer science, engineering)


• Solid understanding of AI/ML model development lifecycle including training data curation, feature engineering,


• and model evaluation


• Familiarity with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) approaches


• Experience collaborating with software engineers and IT teams to integrate and deploy AI systems


• Ability to translate technical concepts into business value


• Familiarity with MLOps practices and pipeline integration for productionising models


• Experience with cloud-based AI infrastructur...

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