Join us as aDataScientist

• Playing akey role in advancing applied AI and AI research within thefinancial services industry, you’ll work within a team of skilleddata scientists to tackle complex business challenges usingadvanced analytics and machine learningtechniques
• You’ll be supporting thedevelopment, deployment, and maintenance of advanced machinelearning models and algorithms, including large languagemodels
• This is an opportunity to make asignificant impact with us and establish yourself as a prominentcontributor in the field of data science andAI

What you'lldo

As a Data Scientist,you'll be responsible for contributing to the development andexecution of innovative AI and data science solutions for thebank's most pressing challenges. You'll work within a team of datascientists and engineers, providing technical expertise whilecollaborating with cross-functional teams and stakeholders todeliver high-impactresults.

Your responsibilitieswillinclude:

• Supportingthe data science community of practice, staying informed in thefield of applied AI and AIresearch
• Communicating effectively withstakeholders, providing insights and recommendations based on yourteam's projects and findings
• Participating inend-to-end project delivery, from ideation to productiondeployment, ensuring alignment with businessobjectives
• Assisting in the identification andimplementation of cutting-edge technologies, tools and techniquesto deliver value through cost reduction, income generation, orimproved customerexperience

Theskills you'll need

To excelin this role as a Data Scientist, you'll need a solid academicbackground in a STEM discipline such as Mathematics, Physics,Engineering, or Computer Science, ideally with a MSc or PhD. You'llalso need experience with statistical modelling and machinelearning techniques, as well as some knowledge of financialservices.

In addition, you'lldemonstrate:

• Theability to use data to solve business problems from hypothesesthrough to resolution
• Expertise in key datascience technologies and techniques, such as Python, Git, AWS, AWSSageMaker, PyTorch, TensorFlow, JAX, NumPy, scikit-learn,time-series forecasting, classification, regression, large-languagemodels, and experimental design
• Experience ofusing programming language and software engineeringfundamentals
• Experience of exploratory dataanalysis
• Effective communication skills withthe ability to proactively engage with a wide range ofstakeholders