Iain Miller
Principle Ai Engineer @Shell
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WORK HISTORY
Principle Ai Engineer @Shell
London, GB
Led a team of Data Engineers to enhance the Offer Decision Engine (ODE) for Go+, Shell’s loyalty programme.• Expanded ODE to 13 new markets, generating US$75M annually.• Migrated legacy markets to a global solution using Databricks on Azure.• Transitioned the UK market from a Visits-based to a Points-based scheme, preparing for the onboarding of EV customers.• Developed a GenAI side-project to tailor offer emails to customers, incorporating local events, dialects, and imagery to enhance personalization and engagement.• Collaborated closely with Retail Businesses, analysing data and refining the solution.
EDUCATION
University of Stirling
BSc (HONS) Business Computing, Business Computing
SKILLS
ABOUT IAIN MILLER
Adaptable data professional with extensive experience in developing and implementing innovative solutions to a wide range of data-related challenges. Proven track record in leading teams, enhancing data-driven decision-making, and driving successful project outcomes. Passionate about leveraging technology to solve complex problems and enhance business performance.* 2024 Q1: Shell Star of the Quarter nominee for Customer Experience* 2024 Q3: Shell Star of the Quarter winner for Robust DeliveryCAPABILITIES• Problem Solving & Ownership: Exceptional problem-solving skills with a relentless approach to overcoming challenges and delivering effective solutions. Takes full ownership of projects, liaising with stakeholders across businesses to ensure successful delivery.• Technical Leadership & Collaboration: Proven ability to lead and mentor teams, driving successful project outcomes. Strong collaboration skills with cross-functional teams, ensuring continuous improvement and alignment with business goals.• Innovation & Technical Proficiency: Expertise in developing and enhancing AI-driven solutions, including the use of Generative AI. Proficient in working on Azure (including Azure Data Factory, DevOps, Azure SQL, and Azure storage services).• Comprehensive Data Engineering: Skilled in many aspects of data engineering, including data ingestion, storage, transformation, integration, pipeline management, governance, and analytics/visualization. In-depth experience with Databricks, developing solutions coded in PySpark.• Agile & Resilient: Effective in Agile projects and experienced in working with Jira and CI/CD pipelines in GitHub. Highly adaptable to different tools and environments.
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