Strategic Data Science & AI leader with 10+ years delivering enterprise-scale machine learning solutions and over 5 years spearheading a pioneering Data Science function at SSE. Proven track record of multimillion-pound cost savings, commercial impact, and organisation-wide recognition for innovation and strategic delivery.
Expert in building and scaling high-performing, multidisciplinary teams—data scientists, engineers, architects, and analysts—while embedding structured career progression and a culture of excellence. Deep domain expertise across energy, finance, trading, and hedging, underpinned by 15 years of sector experience. Trusted by executive leadership to define and execute ambitious data strategies, modernising legacy environments into scalable, cloud-native AI capabilities.
Recognised as a principal data leader and mentor, driving adoption of MLOps best practices and integrating GenAI, LLMs, and Agentic AI frameworks into core business processes. Skilled in stakeholder engagement, agile delivery, and advanced platforms including AWS, Azure, and Databricks.
Named on SSE’s succession risk register for irreplaceable strategic impact across data, AI, and operational transformation.
Leadership & Strategy
Strategic Leadership across Data Science, AI, and Analytics
Building and Scaling Multidisciplinary Teams (ML Engineers, Data Scientists, Analysts)
Driving AI Strategy and Execution with Measurable P&L Impact
Mentorship & Capability Building
Team Building & Talent Development
AI, ML & Advanced Analytics
Machine Learning (ML), Deep Learning
Generative AI (GenAI), LLMs, RAG Systems
Quantitative Data Science
Statistical Analysis & Modelling
Programming Languages: Python, SQL, PySpark, C
Tooling & Libraries (Hugging Face Transformers, LangChain, XGBoost, LightGBM)
Natural Language Processing (NLP)
Overfitting Mitigation & Generalization
Model Accuracy & Evaluation
Engineering, Platforms & Delivery
Cloud Platforms & Architecture (Azure, AWS, GCP)
Data Engineering & Pipelines (ETL, Kafka, Snowflake, Databricks)
MLOps Frameworks (CI/CD Pipelines) for Reliable, Low-Latency Delivery
Domain Expertise
15 years Energy industry expertise
AI Algorithmic Solutions for Trading, Hedging, Forecasting
Governance, Ethics & Communication
Data Governance & Ethics, Responsible AI & Regulatory Compliance
Cross-Functional Collaboration
Translating Technical Insights into Business Outcomes
- ICAgile Certified Professional - Product Management, 2023
- ICAgile Certified Professional - Agile Methodologies & Agile Leadership, 2023
- Microsoft Certified Azure Data Scientist Associate, 2022
- DataCamp Data Science Certified Associate, 2021
- Databricks Certified Professional ML Engineer, 2021
- Lean Six Sigma Black Belt, Process Management International, 2021
- Inclusive Leadership Certified, LSE, 2020
- BCS, The Chartered Institute for IT - Professional Certificate in Data Analysis, 2019
- Lean Six Sigma Green Belt, Process Management International, 2017