SC Manager, Data Science and Innovation, CIB

Our Data Scientists use their domain expertise to identify where AI can speed up operations, reduce costs, increase productivity, personalise the client experience, and build and deploy AI models. We’re looking for brilliant minds who are intellectually curious, analytical and willing to learn, with a numerate background in AI, mathematics, engineering, sciences or related disciplines.

About our Digital Channels & Data Analytics (DCDA) team
They support our corporate clients, by creating a more equitable, sustainable, and prosperous future for clients and global communities through technology, data and digital. They’re responsible for being an expert in digital products and services and partner with our sales and coverage teams.

About Corporate & Investment Banking (CIB)
For more than 170 years we’ve support clients with their transaction banking, financial markets, corporate finance and borrowing needs and provide solutions to nearly 20,000 clients in the world’s fastest-growing economies and most active trade corridors.

• Partner with stakeholders including our sales team, relationship managers, traders and leadership to understand where AI can optimise our business.
• Define AI business requirements with tangible, measurable and commercial success criteria.
• Mine large sets of data to uncover trends, insights, and opportunities from multiple internal and external data sources.
• Enhance data collection methods through augmentation, normalisation, and outlier removal.
• Recommend appropriate AI solutions and train AI models.
• Deliver self-service dashboards to report on business use case and success criteria.
• Use data visualisation for predicted outputs and insights and to translate complete analytics into business language.
• Embed a framework of continuous monitoring to deployed models and solutions, for continuous enhancement.

• 2 plus years experience and education in AI, Mathematics, Engineering, the Sciences, or related discipline.
• Predictive models, machine learning algorithms, deep learning, statistical analysis techniques, large language models.
• Data visualisation tools, including Matplotlib, Plotly, Power BI and Tableau.
• Natural Language Processing (NLP).
• Proficient in Object-Oriented Programming (OOP) in Python.
• Experience with ML, DL, and NLP libraries such as Scikit-learn, Hugging Face, Lang Chain and PyTorch.
• Experience in using big data tools such as Hadoop, Spark and Hive in a cloud environment would be beneficial.
• Data governance and management.
• AI regulatory compliance.
• Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
• Self-driven and highly motivated professional with a strong sense of ownership and a passion towards delivering high-quality client solutions.

Role specific technical competencies