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Senior Data Scientist with 10+ years in AI, Machine Learning, and Data Leadership.
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Assessing your cultural and operational fit
Transformational AI and data leader with 16 years of enterprise experience spanning strategy through operational adoption. Proven track record building and leading cross-functional teams of 20+ across the UK, India, Hungary, and France to deliver flagship AI products generating over £30 million in measurable business value. Deep expertise in GenAI/LLM/RAG architectures, agentic AI, predictive modelling, and NLP combined with commercial acumen to translate complex technical capabilities into board-level business narratives.
University of Southampton
MSc · Business Analytics and Management Sciences
January 1, 2020 – January 1, 2021
BT Group
Senior AI Manager, Data & AI Product Delivery
March 1, 2022 – Present
Bath, England, United Kingdom
Infosys Ltd
Senior Data Scientist
January 1, 2016 – December 31, 2020
UK
Infosys Ltd
Technical Team Lead
January 1, 2014 – December 31, 2016
UK
Infosys Ltd
Business Analyst / Test Analyst
January 1, 2011 – December 31, 2014
UK
Cultural Fit Analysis
The candidate's extensive experience across various AI domains (GenAI, predictive analytics, customer analytics, AI decisioning) and leadership roles in large organizations (BT Group, Infosys) suggests adaptability and a broad understanding of enterprise environments. Their involvement in projects with significant business impact and managing diverse teams indicates a collaborative and results-oriented mindset. The progression from Business Analyst to Senior AI Manager shows a strong career trajectory and commitment to growth, which aligns well with a dynamic, high-performing culture. The target role 'Senior Data Scientist (Credit)' aligns with their strong data science background and experience in financial impact analysis.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and cross-functional team management skills. Their experience in driving business case development, value discussions, and focusing on adoption and operational readiness indicates a strong operational fit. The ability to manage diverse teams across different countries also highlights excellent communication and collaboration skills. The candidate's focus on responsible AI and explainability aligns with modern ethical AI practices.