Fraud Data Scientist — Predictive ML & KPI Impact

Jobtailor; Leicester; On-site; GBP 60,000 - 90,000; Full time

Job summary

Jobtailor seeks a skilled ML professional to develop and deploy predictive models for claims, fraud and risk KPIs. You will work with ML engineers to bring models into production and monitor their business impact.

You will present findings to cross-functional stakeholders and explore new technologies to help set the team’s best practices. Strong commercial acumen and communication are essential.

Qualifications

• Proficiency in Python and ML libraries, with cloud deployment experience.
• Ability to link model performance to commercial KPIs.
• Experience using SQL for data extraction and modeling.
• Interest in emerging ML techniques and their business value.
• Ability to communicate across data science, data engineering, ML engineering, operations and commercial teams.

Responsibilities

• Develop best-in-class ML models to predict claims outcomes, fraud and risk KPIs.
• Collaborate with ML Engineers to deploy ML models into production.
• Monitor deployed models and tie performance to commercial KPIs.
• Present analyses and results to Operational and Commercial stakeholders.
• Explore new technologies and contribute to the team’s best practices.

Skills

Python Proficiency

Machine Learning Model Development

SQL Experience

Commercial KPI Linking

ML Model Deployment

Tools

ML Libraries

Cloud Environments

Job description

Jobtailor seeks a skilled ML professional to develop and deploy predictive models for claims, fraud and risk KPIs. You will work with ML engineers to bring models into production and monitor their business impact.

You will present findings to cross-functional stakeholders and explore new technologies to help set the team’s best practices. Strong commercial acumen and communication are essential.