Job summary Are you a data engineer with a passion for public service? Then maybe you're looking for us! We are seeking an experienced and skilled Advanced Data Engineer to be part of a growing team that delivers on More ❯
Proven ability to deliver AI capabilities in production, including model training, deployment, monitoring, and lifecycle management Strong technical background across machine learning, data pipelines, and cloud platforms (e.g. Snowflake, Databricks, Azure) Exceptional communication and influencing skills, with the ability to align executive stakeholders around AI strategy A pragmatic, delivery-focused mindset and passion for scalable, secure, and privacy-conscious AI More ❯
Cardiff, South Glamorgan, United Kingdom Hybrid / WFH Options
RVU Co UK
have on conversion? What incentives drive and influence transacting and acquisition on our funnels and channels? What you'll be doing: You'll be using tools and databases including Databricks, Tableau, DBT and Python, to tackle important problems that we're only just starting to understand, in order to: Develop robust product analytics for our insurance products, including event tracking … Experience in digital/web analytics, A/B testing and optimising digital products. Track record of driving business decisions and impact. Strong SQL skills; particularly in reference to Databricks with experience in using analytical and data tooling such as Python, Tableau, Git, dbt etc. Understanding of data engineering concepts and practices, with the ability to work with engineering to More ❯
data strategy , reporting directly to the CTO. Build and lead a new AI/ML function , while shaping the existing data team. Establish a modern data platform using Fabric, Databricks or similar technologies to power predictive analytics and automation. Deliver the business's first AI-powered products and tools , such as intelligent search, document OCR and insight-driven reporting. Partner … setting. Technical depth across machine learning, MLOps, and data engineering . Experience building and scaling teams in data and AI disciplines. Background in cloud-based data platforms - Microsoft Fabric, Databricks, Snowflake, AWS or Azure . A hands-on mindset with the ability to balance technical leadership and strategic direction. Strong communication and stakeholder management skills, with the ability to operate More ❯
