Data Scientist: ML + GCP & Fraud Optimization

RED Global; Sheffield; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

RED Global is seeking an experienced Data Scientist to optimise fraud models and ML infrastructure. The role involves hands-on ML model tuning, GCP resource management, and delivering practical recommendations for cost reduction and performance gains.

You will work across production ML pipelines and collaborate with engineering teams to drive end-to-end enhancements. The ideal candidate has strong Python and SQL skills, experience with Spark, and a track record of scalable ML deployments in

Qualifications

• Experienced Data Scientist or ML Engineer.
• Strong ML model optimisation and deployment skills.
• Proven ability to design end-to-end ML pipelines.

Responsibilities

• Assess and optimise fraud and ML models to improve performance and reduce costs.
• Provide implementation-ready recommendations with effort estimates and impact.
• Guide engineering and data science teams at configuration and code level.
• Analyse and optimise GCP compute, storage and networking for cost and performance.
• Implement monitoring and observability for ML workloads.

Skills

Machine Learning

Python

Data engineering

SQL

Tools

Google Cloud Platform (GCP)

Spark

CI/CD

Job description

RED Global is seeking an experienced Data Scientist to optimise fraud models and ML infrastructure. The role involves hands-on ML model tuning, GCP resource management, and delivering practical recommendations for cost reduction and performance gains.

You will work across production ML pipelines and collaborate with engineering teams to drive end-to-end enhancements. The ideal candidate has strong Python and SQL skills, experience with Spark, and a track record of scalable ML deployments in