Fraud ML Engineer: Production ML & Data Systems in Cloud

HSBC Group; Sheffield; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A major global bank in the UK is seeking a Data Scientist to maintain data models and manage data quality for Fraud. Responsibilities include designing and deploying ML algorithms, improving performance at scale, and collaborating with various teams. The ideal candidate has significant experience in machine learning and proficiency in Python and SQL. The role offers a competitive pay package, professional development opportunities, and a commitment to diversity and inclusion.

Benefits

Private healthcare

Enhanced maternity and adoption pay

Contributory pension scheme

Qualifications

• Significant hands-on experience in data analysis and development machine learning solutions.
• Proficient in Python, SQL and key libraries such as Scikit-learn and PySpark.
• Strong track record of designing, building and deploying classification models in a production environment.
• Practical understanding of deep learning techniques.
• Experienced leading end-to-end machine learning projects.

Responsibilities

• Assist in the design, implementation of ML algorithms.
• Support, develop and monitor all steps in the end-to-end ML lifecycle.
• Produce and manage code repository, artefacts, and documentation.
• Design and develop software to automate building, testing and deployment.

Skills

Data analysis

Machine learning solutions

Python

SQL

Scikit-learn

PySpark

Deep learning techniques

Job description

A major global bank in the UK is seeking a Data Scientist to maintain data models and manage data quality for Fraud. Responsibilities include designing and deploying ML algorithms, improving performance at scale, and collaborating with various teams. The ideal candidate has significant experience in machine learning and proficiency in Python and SQL. The role offers a competitive pay package, professional development opportunities, and a commitment to diversity and inclusion.