Join us as a Data Scientist
- Playing a key role in advancing applied AI and AI research within the financial services industry, you’ll work within a team of skilled data scientists to tackle complex business challenges using advanced analytics and machine learning techniques
- You’ll be supporting the development, deployment, and maintenance of advanced machine learning models and algorithms, including large language models
- This is an opportunity to make a significant impact with us and establish yourself as a prominent contributor in the field of data science and AI
What you'll do
As a Data Scientist, you'll be responsible for contributing to the development and execution of innovative AI and data science solutions for the bank's most pressing challenges. You'll work within a team of data scientists and engineers, providing technical expertise while collaborating with cross-functional teams and stakeholders to deliver high-impact results.
Your responsibilities will include:
- 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
The skills you'll need
To excel in this role as a Data Scientist, you'll need a solid academic background in a STEM discipline such as Mathematics, Physics, Engineering, or Computer Science, ideally with a MSc or PhD. You'll also need experience with statistical modelling and machine learning techniques, as well as some knowledge of financial services.
In addition, you'll demonstrate:
- The ability to use data to solve business problems from hypotheses through to resolution
- Expertise in key data science technologies and techniques, such as 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
