Data Scientist – London

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.
• 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 modeling 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, 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.