PRINCIPAL DATA SCIENTIST

• You are curious and passionate to build advanced ML and Gen AI models
• We are ambitious in our pursuit of exceptional customer, colleagues and community experiences using ML and Gen AI!
• Together we will deliver innovative Gen AI solutions at scale that will deliver transformative impact

DESIRED SKILLS AND EXPERIENCE:

• Leadership and Coordination:
• Proven experience in leading high-performing multidisciplinary teams with Gen AI, predictive ML and data science skill sets.
• Demonstrated capability in driving reusable outcomes that can be leveraged across the group.
• Proficiency in risk management strategies to identify, mitigate, and manage AI-related risks.
• Technical Skills and Tools:
• Generative AI Hands-On Delivery Experience: Demonstrated hands-on experience as a data scientist, with recent successful applications of Generative AI in a business context.
• Expertise includes prompt engineering, RAG, guardrail design, orchestration design, and familiarity with frameworks like Semantic Kernel and LangGraph.
• Machine Learning: Expertise in designing and constructing machine learning models, including feature engineering, model selection, hyperparameter tuning, model evaluation, and deployment of predictive models.
• Tooling: Hands-on experience with Deep Learning, GenAI and data science tools such as Spark, Python, R, TensorFlow, PyTorch, SQL, and key AWS integration packages.
• AI Platforms: Demonstrated experience in developing, deploying, and monitoring Deep Learning, Gen AI and AI models on AWS infrastructures, including Bedrock, SageMaker, Knowledge Base, and OpenSearch.

• Develop and communicate a strategic vision for AI initiatives, aligning them with organizational goals and driving the overall AI strategy in Retail Banking Services.
• Lead the development of innovative solutions to complex organizational problems, leveraging advanced technical knowledge and specialist expertise.
• Conduct and oversee advanced research to apply new methods and technologies to solve complex problems, ensuring the organisation stays ahead of industry trends.
• Provide strategic and hands-on technical leadership, and ensuring projects are executed with technical excellence and innovation.
• Work closely with other AI and Data Science bar raisers to build a culture of performance and contribute to craft across the entire AI and Data Science Practice.
• Actively partner with internal AI and data science teams and external strategic partners to share knowledge, best practices and bring the best of AI led impact to Retail Banking Services.
• Gen AI and Agentic AI Initiatives: Drive the expansion and adoption of Generative AI and Agentic AI solutions within retail banking. Optimize product offerings, enhance customer experiences, and simplify internal processes through the design, development, and integration of these AI technologies.
• Enable AI team: Upskill AI and data science practitioners and enhance capabilities in key techniques such as prompt design, RAG, fine-tuning, agentic AI frameworks. Ensure expertise in tools and establish best practices for monitoring, testing, and validating GenAI solutions.
• Develop Transferrable and Re-usable Frameworks: Collaborate with technology and engineering teams to design and build standardized Gen AI assets applicable across the team.