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Senior Data Scientist - Lloyds Bank
Data Scientist
Senior Data Scientist leading AI innovation in commercial banking, shaping the Data & AI roadmap, building cutting‑edge models, and delivering measurable business outcomes using Python, ML/DL, Spark and cloud services.
About the role
Key Responsibilities
- Define and execute the Data & AI strategy for commercial banking products, aligning technical solutions with business goals.
- Design, develop, and deploy advanced machine‑learning and deep‑learning models for credit risk, fraud detection, and customer analytics.
- Lead a multidisciplinary team of data scientists and engineers, providing mentorship and fostering a culture of experimentation.
- Collaborate with product owners, risk managers, and technology partners to translate business requirements into scalable data pipelines using Spark and SQL.
- Implement and manage cloud‑based AI infrastructure on AWS, ensuring reliability, security, and cost‑effectiveness.
- Measure and communicate model performance and business impact, iterating quickly to improve outcomes.
Requirements
- 5+ years of hands‑on experience building production‑grade machine‑learning models, preferably in banking or financial services.
- Strong proficiency in Python and its data‑science ecosystem (pandas, scikit‑learn, TensorFlow/PyTorch).
- Expertise in big‑data processing with Spark and SQL, and experience deploying solutions on AWS.
- Demonstrated ability to lead technical teams and drive projects from concept to production.
- Excellent communication skills to convey complex analytical insights to non‑technical stakeholders.
Skills
pythonmachine learningdeep learningsqlawsnatural language processing