Hybrid Data Scientist

at Shift

• Job title: Data Scientist
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: PySpark, Python, SQL
• Location requirements: Hybrid, Sydney, Australia

About the role

• Data Scientist at Shift building complex models for credit risk and fraud. Collaborating with teams to innovate financial solutions for Australian SMEs.

Responsibilities

• Develop and validate models for Credit risk (PD, LGD, EAD), provisioning (AASB/IFRS9), servicing, fraud and profitability using traditional ML, Bayesian modelling, and neural networks
• Advanced data wrangling, working with complex and unstructured datasets
• Contribute to model evaluation, monitoring and governance for internal and regulatory stakeholders
• Take models from development to deployment in production using ML engineering tools
• Optimise credit strategy through modelling, automation, and performance insights
• Research new modelling methodologies and challenge the status quo to drive innovation
• Work with diverse data sources (e.g. bank statements, credit bureaux, OCR) and ensure data integrity
• Share your knowledge through team discussions, workshops and informal peer sessions
• Collaborate with business and technology teams to align data science with business goals

Requirements

• Demonstrated experience coding in Python and SQL
• Solid quantitative background – you’re comfortable with stats, modelling, and problem solving
• Experience building statistical models including data wrangling, feature engineering, and model evaluation.
• Experience in Databricks, PySpark, or similar clustered computing environments
• Experience deploying ML models using MLFlow or other ML engineering tools in production
• Excellent communication skills – you can explain complex models to non-technical teams
• Ability to manage projects, define scopes, and deliver aligned outcomes
• Collaborative mindset with curiosity and a passion for learning
• Commercial or financial services background
• Master’s or PhD in a quantitative discipline (Stats, Maths, CS, Engineering, etc.)

Benefits

• Collaborative teams – a flat structure means everyone can learn from colleagues and senior leaders around the business.
• Be involved – come together with all of your colleagues every 100 days to share the product and technology roadmap and business strategy.
• Flexible working environment – we’re headquartered in North Sydney with state-based workplaces and offer a flexible work policy.
• Family support – industry leading 26 weeks paid parental leave.
• Purpose built spaces within our office – designed for collaboration, brainstorming, socialising, and focused work.
• Range of benefits supporting your physical, psychological and financial wellbeing. From a day off on your birthday to excellent end of trip facilities.