Senior Manager, Data Science and Machine Learning, Audit and Assurance

• End-to-end experience of leading and managing multiple data science and analytics projects in different industries and with different types of data (text, numerical, categorical).
• Experience of delivery AI/ML projects for large/complex organisations.
• Experience building relationship at a Senior level
• Experience in building Data Science initiatives
• Solid understanding of mathematics, probability and statistics.
• Deep knowledge in a range of AI/machine learning techniques/GenAI/Agentic AI.
• Strong communication and data presentation skills with the ability to build convincing recommendations and sell these to a non-technical audience.
• Strong problem solving skills, and capable of generating original solutions to real-world problems.
• Experience in reviewing code and documentation to a high standard.
• Experience in using cloud environment (e.g. Azure, AWS).
• Experience of working in a Dev/MLOps environment.
• Experience of exercising software engineering best practices, E.g, test-driven development, smart data structure and algorithm selection.
• Experience in using Python (pandas, numpy, scikit-learn).
• Experienced in , Deep Learning (e.g. RNNs, CNNs) or NLP techniques (e.g. TF-IDF, word-embedding).
• Experience in developing and managing end-to-end GenAI/LLM based applications.
• Experience in working in an Agile development team.
• Experience in using Git, Excel, SQL.
• Self-driven, able to work independently yet acts as a team player; able to apply data science principles through a business lens.

Desirable (Ideally, you'll have experience of one or more of the below areas)

• Publishing and thought leadership in Data Science area
• Experience in Agentic AI
• Experience with ML/ GenAI/ Agentic AI Validation frameworks
• Experience in using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services.
• Experience in front-end development.
• Experience in using Docker and Kubernetes.

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