Data Scientist

Role Overview

As a Data Scientist, you will use innovative data analytics and machine learning techniques to extract valuable insights from the bank’s data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.

What You Will Do

You will identify, collect, and extract data from various sources, perform data cleaning and transformation, develop and maintain data pipelines, design and conduct statistical and machine learning models, and collaborate with business stakeholders to add value from data.

Why It Might Be a Fit

You will advise and influence decision making, contribute to policy development, and take responsibility for operational effectiveness. You will also lead a team, collaborate with other functions, and demonstrate leadership behaviours to create an environment for colleagues to thrive.

Requirements

• Exceptional ability to extract strategic insights from large data sets and communicate these to non-technical business stakeholders
• Experience with multiple machine learning methods
• Significant experience applying machine learning methods with big data technologies
• Significant experience in Python and key analytical and machine learning libraries
• Experience on building and deploying in cloud infrastructure such as AWS, Azure or GCP
• Experience in leading on, building and deploying enterprise GenAI projects
• Deep understanding of LLMs, GenAI frameworks and techniques
• Ability to understand and translate the pattern recognition, exploration of the data, machine learning and algorithmic learning
• Experience in providing technical mentoring to more junior colleagues

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Life insurance
• Pension scheme
• Annual leave
• Sick leave
• Bank holidays
• Flexible working hours
• Professional development opportunities