Senior Data Scientist

The role

You will build and deploy machine learning models that predict credit risk. You will also turn prototype model deployment layers into scalable, versioned, and monitored systems.

What you will do

• Build and deploy machine learning models that predict credit risk
• Turn prototype model deployment layer into something scalable, versioned, monitored and reliable
• Ensure models can be trusted in production with monitoring, data validation and documentation
• Bring in new data sources including customer insights from the AI-powered Customer Knowledge Engine
• Lead projects from start to finish and lift the team's engineering standards
• Work with Credit, Product, Risk and Technology to agree on model delivery and explain results

Required qualifications

• 5+ years building predictive models in a business setting
• Track record of getting models into production and keeping them there
• Strong Python and SQL
• Solid engineering habits including version control, CI/CD, testing and code review
• Hands-on experience building model services or APIs, including serving, versioning and monitoring
• Experience with Databricks or another distributed computing environment
• A solid statistical foundation, including how to measure how confident a model is in its predictions
• The ability to explain complex work simply to senior stakeholders
• Curiosity about using AI to work smarter

Nice to have

• Experience in credit risk, lending or financial services

Benefits

• Hybrid working
• Up to 26 weeks paid parental leave
• Strategy Week twice a year
• Fortnightly all-company business updates
• Flat structure
• Benefits supporting physical, psychological and financial wellbeing
• Day off on your birthday
• End of trip facilities

About the company

Shift provides business finance to small, established and corporate sized businesses in Australia. Founded in 2014, Shift has funded more than 30,000 Australian businesses.