Data Scientist

HSBC Group; Sheffield; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading banking institution is seeking an experienced Data Scientist to join their Fraud Strategic Analytics team in Sheffield. The role involves the design and implementation of ML algorithms to enhance fraud detection capabilities. Candidates should have hands-on experience in data analysis, proficiency in GSQL, Python, SQL, and experience in deploying ML models in production environments. The position offers competitive pay and benefits including private healthcare and a contributory pension scheme.

Benefits

Private healthcare for UK-based employees

Enhanced maternity and adoption pay

Generous pension scheme

Qualifications

• Hands-on experience in data analysis and development of machine learning solutions.
• Proficiency in GSQL, Python, SQL, and libraries such as Scikit-learn and PySpark.
• Experience deploying ML models and analytics in production environments.

Responsibilities

• Assist in the design and implementation of ML algorithms.
• Support, develop, and monitor all steps in the end-to-end ML lifecycle.
• Ensure and improve the performance of the ML algorithms at scale.
• Design and develop software to automate testing and deployment of ML algorithms.
• Collaborate with data wranglers and model governors to enhance GraphDB processes.

Skills

Data analysis

Machine learning solutions

GSQL

Python

SQL

Scikit-learn

Pyspark

Tools

TigerGraph

GCP

Job description

Overview

the data model, data catalogue, data lineage and manage data quality for Fraud. The team oversee and support the use of the cloud-based fraud decision platform, open-source technologies and agile methodologies. 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 that everything is quality checked, controlled, and governed efficiently and effectively. Furthermore, the Data Scientist will be responsible for the development and implementation of GraphDB solutions, specifically using TigerGraph, to enhance fraud and financial crime detection capabilities. They may also provide subject matter expertise to the rest of the wider data and analytics teams. As an HSBC employee in the UK, you will 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:

Responsibilities

• Assist in the design and implementation of ML algorithms and deploy them in the Feedzai and SASEFM production environments.
• 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.
• Ensure and improve the performance of the ML algorithms at scale. Produce and manage code repository, artefact, documentation, user manual and backup.
• Design and develop software to automate the building, testing and deployment of ML algorithms and analytics activities.
• Collaborate with data wranglers, data scientists, data engineers, model governors, and data quality and governance managers to enhance the GraphDB development and implementation processes, specifically leveraging TigerGraph, to improve fraud detection and financial crime analytics.
• Significant hands-on experience in data analysis and development machine learning solutions.
• Proficient in GSQL, Python, SQL and key libraries such as Scikit-learn and Pyspark.
• Strong track record of designing, building and deploying classification models in production environment. Practical understanding of deep learning techniques.
• Experienced leading end-to-end GraphDB projects - from problem definition and engineering to development and performance monitoring.
• Experience in cloud native solutions, such as data lakes and enterprise big data and analytics platforms, in particular using GCP.

Qualifications

• Hands-on experience in data analysis and development of machine learning solutions.
• Proficiency in GSQL, Python, SQL and libraries such as Scikit-learn and PySpark.
• Experience deploying ML models and analytics in production environments.

If you're looking for a career where you can make a real impression, join HSBC and discover how valued you'll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Data Scientist. 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 team builds, automates and maintains the core data and ML (Machine Learning) products for Strategic Fraud Analytics. The data products are the basis for machine learning, AI (Artificial Intelligence) and visualisation services. The team also build and maintain