Job Description

Join us as a Data Scientist

You'll be identifying and working with data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed We'll look to you to act as a role model and lead the data community to identify and deliver opportunities to support the bank's strategic direction through better use of data This is an opportunity to achieve excellent exposure in a challenging role and to make a real impact with your work We are offering this role at director level

What you'll do

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As a Data Scientist, you'll be evaluating and improving business processes and products using scientific rigour and statistical methods. You'll be supporting and collaborating with multidisciplinary teams on a wide range of business problems, including the prevention of financial crime, understanding customer interactions with the bank and the management of credit risk.


You'll also be:

Developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Communicating effectively across the functions and franchises to make business recommendations, influencing and gaining business buy-in Conducting analysis that includes data gathering and requirements specification in collaboration with business stakeholders Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment Identifying new methods, tools, techniques and opportunities to deliver business value via cost reduction, income generation or improved customer experience through the application of data science

The skills you'll need

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To succeed in this role, you'll need evidence of previous project implementation and work experience gained in data analysis related field as part of a multidisciplinary team. Additionally, you'll hold a degree in a quantitative discipline or have evidence of equivalent practical experience.


You'll also demonstrate:

Expertise in data science, analytics, and machine learning Proven proficiency in Python and relevant libraries such as Pandas, NumPy, Scikit-learn coupled with experience in data visualisation tools. Knowledge of AWS Sagemaker is preferred Effective written and verbal communication skills and the ability to adapt the communication style to a specific audience * Extensive relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models and sampling methods