Key Responsibilities

Playing a key role in advancing applied AI and AI research within the financial services industry, working within a team of skilled data scientists to tackle complex business challenges using advanced analytics and machine learning techniques.
Supporting the development, deployment, and maintenance of advanced machine learning models and algorithms, including large language models.
Contributing to the development and execution of innovative AI and data science solutions for the bank’s most pressing challenges.
Working within a team of data scientists and engineers, providing technical expertise while collaborating with cross-functional teams and stakeholders to deliver high-impact results.
Supporting the data science community of practice, staying informed in the field of applied AI and AI research.
Communicating effectively with stakeholders, providing insights and recommendations based on your team’s projects and findings.
Participating in end-to-end project delivery, from ideation to production deployment, ensuring alignment with business objectives.
Assisting in the identification and implementation of cutting-edge technologies, tools, and techniques to deliver value through cost reduction, income generation, or improved customer experience.

Skills and Expertise

Solid academic background in a STEM discipline (Mathematics, Physics, Engineering, or Computer Science), ideally with an MSc or PhD.
Experience with statistical modelling and machine learning techniques.
Knowledge of financial services.
Ability to use data to solve business problems from hypotheses through to resolution.
Expertise in key data science technologies and techniques (Python, Git, AWS, AWS SageMaker, PyTorch, TensorFlow, JAX, NumPy, scikit-learn, time-series forecasting, classification, regression, large-language models, and experimental design).
Experience of using programming language and software engineering fundamentals.
Experience of exploratory data analysis.
Effective communication skills with the ability to proactively engage with a wide range of stakeholders.