Fraud ML Engineer: Production ML & Data Systems in Cloud

HSBC Group; Birmingham; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading banking organization in Birmingham seeks an experienced Data Scientist to oversee data quality and implement machine learning solutions. Responsibilities include developing ML algorithms, managing data pipelines, and collaborating with analytics teams. Ideal candidates will have strong experience in Python and SQL, and a proven track record in deploying classification models. The role supports a hybrid working model, providing flexibility in location and the opportunity to work on innovative fraud detection initiatives.

Benefits

Private healthcare

Enhanced maternity and adoption pay

Contributory pension scheme

Qualifications

• Significant hands-on experience in data analysis and development machine learning solutions.
• Strong track record of designing, building and deploying classification models in a production environment.
• 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 ML lifecycle.
• Ensure and improve the performance of the ML algorithms at scale.

Skills

Data analysis

Machine learning solutions

Python

SQL

Scikit-learn

PySpark

Deep learning techniques

Cloud-native solutions

GCP

Job description

A leading banking organization in Birmingham seeks an experienced Data Scientist to oversee data quality and implement machine learning solutions. Responsibilities include developing ML algorithms, managing data pipelines, and collaborating with analytics teams. Ideal candidates will have strong experience in Python and SQL, and a proven track record in deploying classification models. The role supports a hybrid working model, providing flexibility in location and the opportunity to work on innovative fraud detection initiatives.