Data Scientist

Our IT mission is to transform how data and AI are delivered to customers and colleagues around the world, with a focus on simplicity, trust, and measurable value. AI is central to this mission, providing tools and platforms for creating and operating secure, scalable data and AI solutions.

Reporting to the BI and Analytics Manager, the Data Scientist is a valued member of the Enterprise Analytics & AI Hub. This role develops and evaluates advanced analytics, machine learning, and generative AI solutions that help us understand business challenges, improve decisions, and create better customer and colleague experiences.

Using modern data science techniques and scalable AWS technologies, the Data Scientist connects business needs with reliable technical solutions. This role works closely with product, data engineering, software and platform engineering, security, governance, and domain experts to move ideas from discovery and experimentation into monitored production services.

The Data Scientist plays a vital role within the Enterprise Analytics & AI Hub, contributing to the team's core objectives:

• Turn ambiguous business questions into measurable data science problems, clear success measures, and evidence-based recommendations.
• Build trusted models, data products, and AI capabilities in Nexus (our internal platform) that colleagues can use safely and effectively.
• Improve the quality and usability of structured and unstructured data by making definitions, lineage, assumptions, and limitations clear.
• Establish evaluation, observability, and feedback practices that improve accuracy, reliability, latency, and cost over time.

• Foster a culture of responsible, data-informed experimentation by sharing insights, reusable approaches, and emerging techniques across the team.