Data Scientist

• Work closely with business teams to identify and “prove” new use cases and the value of Machine Learning and AI embedding the data engineering concepts. 

• Design, build, and maintain scalable, secure, and high-quality data products using clean, maintainable, and efficient solution designs aligned with standard methodologies 

• Work with other data & ML engineers and technical SMEs to identify, develop and implement new solutions that deliver customer and business value. 

• Promote high quality Data engineering practices alongside maintaining an effective control environment, sharing knowledge with others and offering technical leadership or support as needed. 

• Proactively seek opportunities to improve solutions and present concrete plans to deliver these. 

• Grow your capability by pursuing and investing in personal development opportunities. 

• Keep up-to-date with emerging developments in data & AI, engineering and ML ops fields, and proactively share findings with the team. 

What you’ll need:   

• Extensive data engineering experience and implementing data management systems. 

• Strong data literacy, with hands-on analytics and development skills. 

• Solid knowledge of data governance, architecture, and lifecycle management. 

• Ability to extract and effectively communicate key points from complex code bases to support production builds. 

• Experience with internal libraries such as GCP shared utilities, and building robust pipeline components using Dataflow, DBT jobs. 

• Proficiency in Kafka, GCP (GKE, Clod tools), BigQuery, and cloud-native architectures. 

• Familiarity with automation tools and observability frameworks 

• Clear understanding of data structures, algorithms, software design, design patterns and core programming concepts in Python. 

• Experience across the full software development lifecycle, from experimentation through to deployment of containerised Machine Learning models to a live environment, using technologies such as Docker and Kubernetes 

• Sound understanding of and/ or enthusiasm for retail banking and an appreciation of the opportunities that ML and gen AI provides with good understanding of LLM, AI concepts. 

Why Lloyds Banking Group 

We’re on an exciting journey and there couldn’t be a better time to join us. The investments we’re making in our people, data, and technology are leading to innovative projects, fresh possibilities, and countless new ways for our people to work, learn, and thrive. 

About working for us 

Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it’s why we especially welcome applications from under-represented groups. We’re disability confident. So if you’d like reasonable adjustments to be made to our recruitment processes, just let us know 

We also offer a wide-ranging benefits package, which includes: 

• A generous pension contribution of up to 15% 

• An annual performance-related bonus 

• Share schemes including free shares 

• Benefits you can adapt to your lifestyle, such as discounted shopping 

• 30 days’ holiday, with bank holidays on top 

• A range of wellbeing initiatives and generous parental leave policies 

Ready to start growing with purpose? Apply today