Data Scientist

Description:

If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential - whether you want a career that could take you to the top, or an exciting new direction, we offer opportunities, support and rewards that will take you further.

We’re one of the largest banking and financial services organisations in the world, with a network that covers more than 50 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people fulfil their hopes and realise their ambitions.

We are seeking a Data Scientist – Data & Analytics

Data and analytics are important enablers for the UK Business’s strategy and for achieving its outcomes. The UK Data & Analytics function is responsible for data risk and control management, delivering the data platform strategy and delivering data, analytics and AI products for the UK Business.

In this fantastic role, you’ll build machine learning that makes a real difference, powering smarter decisions, faster processes, and better outcomes for customers and colleagues.

This is a role for someone who wants end-to-end ownership: shaping problems with stakeholders, developing and deploying production-grade solutions, and seeing measurable impact (not just prototypes). You’ll work in an agile pod with strong engineering standards, using modern tooling and cloud capabilities to deliver automation, insight and ML products that get used.

You’ll also grow your profile through our Data Science Chapter community, with opportunities to influence ways of working and step into hands-on technical leadership.

As an HSBC employee in the UK, you’ll have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.

In This Role, You Will

• Develop, test, deploy, and maintain data analytics and data science solutions (end-to-end)
• Build automation and insight generation from data to improve decision making and outcomes
• Work in an agile pod, contributing to delivery and agile project management
• Provide technical leadership within the pod, setting good engineering standards and direction
• Consult with stakeholders to understand business problems and solve them using analytics, visualisation, and machine learning

To be successful in this role you should have the following skills:
 

• Strong Python & applied Machine Learning (ML) experience (e.g., pandas, scikit-learn, PyTorch/TensorFlow) with clean, testable code
• Software development discipline for delivering production-grade code
• Open-source tooling confidence (e.g., Jupyter, Airflow, vector databases) including the ability to assess choices and manage governance
• Cloud experience (e.g. GCP) building real-time data processing and ML inference pipelines
• Stakeholder consulting capability and the ability to translate business problems into analytics/ML solutions