Senior Data Scientist building machine learning solutions for Kempower's EV charging software. Collaborating across teams and mentoring junior colleagues in a hybrid work environment.
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.
Job title
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