Craig Ives
Hayling Island
Summary
Specialist in leading projects at the intersection of machine learning, generative AI, and process automation, delivering real business value through close collaboration with stakeholders. I have extensive experience working with financial, geospatial, asset management, outage management, capital project management, and open data.
My expertise spans data lakehouse and data warehouse architectures, where I lead capability enablement and workflow improvements to optimise data-driven decision-making. I have built near real-time and batch data pipelines using SQL, Python, and Spark, ensuring efficiency and scalability.
Beyond data science, I have developed custom full-stack web applications and data products, some of which leverage 3D data visualisation for enhanced insights. I thrive on introducing and integrating the latest technology into teams—building the "runways" for innovation by collaborating with architects, platform engineers, and business leaders.
Overview
9
9
years of professional experience
Work History
Senior Data Scientist
Scottish and Southern Electricity Networks
07.2023 - Current
- Directed a pioneering agentic generative AI retrieval-augmented generation project, delivering energy industry regulation insights with plans for business-wide deployment; drove feature enablement by partnering with architects, platform engineers, and Databricks, integrating best practices and leveraging JavaScript web app expertise with styling libraries for custom data applications.
- Led an innovation project tackling a classification problem with imbalanced classes, developing methodologies to impute missing data, enabling advanced data products to enhance customer insights into energy supply and low-carbon technology suitability; collaborated closely with stakeholders to secure innovation funding, expanding team opportunities.
- Designed and implemented transformation pipelines integrating asset management, outage management, socio-demographic data, and business logic into a specialized BI dataset, improving business processes by 20% through close collaboration with stakeholders and end-users.
- Automated a complex manual process by analyzing outage management systems, developing a near real-time solution that accelerated business processes by 100x; enhanced BI reporting with modern data lakehouse cataloging, achieving 90% faster SQL queries and 99.99% uptime while ensuring seamless team integration.
- Revitalized a delayed capital project financials pipeline with third-party consultants, delivering an on-time BI dashboard for data-driven decision-making by accelerating progress and optimizing workflows.
- Redesigned a weather data pipeline using geospatial Spark libraries and H3 spatial indexing, reducing costs by 80% while building a spatio-temporal asset repository for enhanced data efficiency.
- Mentored junior staff in problem-solving and stakeholder engagement, championed high-quality training and documentation, and developed reusable frameworks for pipelines and feature engineering to elevate team performance and tool adoption.
- Established collaboration between platform support and Databricks to deliver an end-to-end MLOps framework; co-introduced CI/CD practices to data science and engineering teams, enhancing delivery efficiency.
- Built an automated reporting and tracking process for emergency scenarios, improving rapid customer service response times and communication through overtime dedication.
Software Engineer
Scottish and Southern Energy
10.2018 - 07.2023
- Developed a web-based 3D visualization tool using JavaScript and WebGL to showcase large project impacts for public engagement and team configuration planning; collaborated with project stakeholders, resulting in its adoption during executive project meetings.
- Created a prototype VR training application with custom game logic, models, and environments, refining it with on-site stakeholders to mirror real-world scenarios; secured funding for a third-party VR training program based on its success.
- Engineered multi-platform augmented reality (AR) applications to enable 3D asset visualization and streamline on-site inspections, enhancing operational efficiency.
- Designed a custom web application to assist electrical engineers in deploying complex equipment, transforming documentation into an interactive, portable digital guide for on-site use.
- Analyzed a large database and implemented a data obfuscation process to ensure compliance with regulatory requirements, safeguarding sensitive information.
- Built an automated data migration process to repair a configuration management database for an on-site data center, improving system reliability and performance.
- Developed a custom technology radar tracker web app for an architecture team, organizing emerging technologies and communicating adoption progress across the organization.
- Presented innovative demos at an executive leadership conference, showcasing spatial computing and modern app development to elevate business-wide awareness of cutting-edge solutions.
- Constructed a reinforcement learning prototype within a 3D game environment, demonstrating agent-based task execution and learning capabilities to highlight advanced AI potential.
Junior Full Stack Developer
Symbios
08.2016 - 10.2018
- Partnered with a senior engineer to migrate the frontend to Vue.js, enhancing user interface performance and maintainability.
- Migrated an e-commerce business to a new platform and redesigned the frontend website to meet specifications, improving user experience and functionality.
- Supported Jira project management and upheld agile SDLC practices, ensuring efficient workflows and timely delivery of development milestones.
- Collaborated with a backend engineer to extend APIs, enabling integration of new analytics services and enhancing data-driven capabilities.
Education
Bachelor of Science - Software Engineering
University of Chichester
Chichester, United Kingdom09-2022
Diploma - Computer Software Engineering
Southdowns College
Havant, United Kingdom09-2014
Skills
- Applied Machine Learning Techniques
- Time series analysis
- Predictive modeling
- Robotic process automation
- Spatial Data Analysis
- Statistical modeling
- Deep learning
- Python programming
- Data lakehouse expertise
- Large dataset manipulation
- Agile methodology
- Business requirements gathering
Timeline
Senior Data Scientist
Scottish and Southern Electricity Networks
07.2023 - Current
Software Engineer
Scottish and Southern Energy
10.2018 - 07.2023
Junior Full Stack Developer
Symbios
08.2016 - 10.2018
Bachelor of Science - Software Engineering
University of Chichester
Diploma - Computer Software Engineering
Southdowns College
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