Data Scientist

Mandatory skills

• 10+ years of experience across Data Science, Machine Learning Engineering or related applied AI roles.
• Proven experience translating ambiguous business needs into well-framed analytical or AI problems.
• Hands-on experience developing and evaluating classical machine learning, NLP and LLM-based solutions.
• Experience with experiment design, statistical evaluation, model metrics and clear communication of findings.
• Experience creating model documentation, model cards and governance-ready evidence.

Capability Required experience

• Python Strong hands-on Python for data preparation, modelling, evaluation and reusable analytical code.
• Machine learning Model development, feature engineering, validation, optimisation and performance measurement.
• NLP Text preparation, classification, information extraction, embeddings and semantic retrieval pipelines.
• Generative AI Working knowledge of LLMs, embeddings, prompting and rapid prototype development.
• RAG fundamentals Understanding of chunking, retrieval, grounding and basic evaluation of RAG-based solutions.
• BigQuery ML Practical experience using BigQuery and BigQuery ML for data processing, model training and evaluation.
• Experimentation Hypothesis-driven experiment design, AI/ML metrics and statistical interpretation.
• Model governance Model cards, explainability, responsible AI documentation and governance support.

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