Data Scientist reference: 147479

## Data Scientist Opportunity at Lloyds Banking Group: A Career Advancement Review This Data Scientist role at Lloyds Banking Group presents an exciting opportunity for professionals looking to deepen their expertise in Machine Learning within a large, established financial institution. The position offers a compelling blend of strategic impact, technical challenge, and professional development.

Key Advantages for Candidates:

• Impactful Work: As a Data Scientist within the Consumer Lending business, you'll be directly involved in building and enhancing Machine Learning solutions for mortgages, credit cards, loans, and vehicle finance. This means your work will have a tangible impact on the financial well-being of millions of customers and the operational success of a major UK bank.
• Business Proximity: A significant advantage highlighted is the close proximity to the business operations. This allows for a deep understanding of how the business functions, how customers are served, and the direct application of Data Science and ML to drive improvements. This is invaluable for career growth, offering insights beyond pure technical implementation.
• Continuous Learning and Development: The role actively encourages and supports personal development. You'll be expected to stay abreast of emerging trends in Data Science, ML Engineering, and MLOps, and the company fosters an environment where knowledge sharing and technical leadership are valued. This commitment to professional growth is crucial for long-term career success in a rapidly evolving field.
• Hybrid Working Model: The adoption of a hybrid working pattern (at least two days per week or 40% of time in a hub) offers a good balance between collaborative in-office engagement and the flexibility of remote work. This caters to modern work expectations and can contribute to a healthier work-life integration.
• Competitive Remuneration and Benefits: The salary range of £70,900pa to £107,000pa, dependent on location and experience, coupled with an extensive benefits package, signifies a strong commitment to attracting and retaining top talent.
• Commitment to Diversity and Inclusion: Lloyds Banking Group demonstrates a strong commitment to fostering an inclusive workplace. This is evident in their proactive initiatives on diversity in senior roles, specialized health packages, and a welcoming approach to applications from under-represented groups. This inclusive culture can lead to a more supportive and enriching work environment.

Key Considerations for Candidates:

• Proven Technical Foundation: A strong theoretical and applied knowledge of statistical modeling and/or ML techniques is essential. Candidates should also possess a solid understanding of computer science fundamentals, including data structures, algorithms, software design, and core programming concepts.
• Data Handling and Software Development Lifecycle: Experience working with large datasets, including proficiency in SQL, is a prerequisite. Furthermore, familiarity with the full software development lifecycle, from experimentation to deploying containerized ML models using technologies like Docker and Kubernetes in Python, is highly desirable.
• Cloud and Visualization Exposure: While not explicitly mandatory, exposure to cloud platforms like GCP (Vertex AI, BigQuery) and visualization tools such as Looker, Tableau, or PowerBI will be a significant advantage, indicating a candidate's adaptability to modern data stacks.
• Business Acumen and Communication Skills: The ability to extract and communicate key insights from complex information to support business decision-making is critical. A genuine interest or understanding of the Consumer Lending domains (Homes, Credit Cards, Transport, Loans) and the opportunities ML presents within them will also be highly valued.
• Adaptability and Openness to Evolution: The role description emphasizes that the team and your responsibilities will evolve. Therefore, candidates who are highly motivated, curious, and open to new ways of working will thrive in this dynamic environment.

This role offers a fantastic platform for Data Scientists to not only leverage their existing skills but also to significantly advance their careers. By engaging with real-world business challenges and contributing to the transformation of a leading financial institution, candidates can expect substantial professional growth and a rewarding career path.