Data Scientist - Fraud Data and Analytics
Brand: HSBC
Area of Interest: Branch and Retail Banking
Location: Sheffield, GB, S1 4NB
Work style: Hybrid Worker
Date: 10 Apr 2025
Some careers shine brighter than others.
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 simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
Our Wealth and Personal Banking business supports millions of individuals, families, business owners, investors and entrepreneurs worldwide. We provide products and services that include current accounts, credit cards, personal loans and mortgages, as well as savings, investments, insurance and wealth management.
Fraud Strategic Analytics specialises in providing state of art analytics and solutions to the UK Fraud team. The function supports Fraud, Scams and Mule Detection, Prevention and messaging across Payments and Cards.
The Data Scientist is responsible for providing Data Science expertise in data, analytics and ML model development. This includes the development and support of ML algorithms and improving analytics and ML pipelines, ensuring quality control and governance.
In this role you will:
1. Assist in the design and implementation of ML algorithms and deploy them in the Feedzai and SASEFM production environments.
2. Support, develop and monitor all steps in the end-to-end ML lifecycle, including provision of infrastructure and resource management, integration, testing, releasing, deployment and monitoring.
3. Ensure and improve the performance of the ML algorithms at scale. Produce and manage code repository, artefacts, documentation, user manuals and backups.
4. Design and develop software to automate the building, testing and deployment of ML algorithms and analytics activities.
5. Collaborate with data wranglers, data scientists, data engineers, model governors and data quality and governance managers to improve the ML and wider data analytics pipelines.
To be successful in this role you should meet the following essential requirements:
1. Significant hands-on experience in data analysis and development of machine learning solutions.
2. Proficient in Python, SQL and key libraries such as Scikit-learn and Pyspark.
3. Strong track record of designing, building and deploying classification models in a production environment. Practical understanding of deep learning techniques.
4. Experienced in leading end-to-end machine learning projects - from problem definition and feature engineering to model development and performance monitoring.
5. Experience in cloud native solutions, such as data lakes and enterprise big data and analytics platforms, particularly using GCP.
This is a hybrid working role with the base location as either Birmingham or Sheffield.
At HSBC, we’re dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best.
If you have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk.
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