Senior Data Scientist
Senior Data Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
Join Shift as a Senior Data Scientist and play a key role in shaping our analytical capabilities. Youll collaborate closely with executives product teams and risk experts to design and deliver powerful statistical and machine learning models focused on credit risk fraud detection and profitability. Your work will directly influence business strategy ensuring data quality and strong model governance.
What Youll Do:
- Partner with executive product risk and frontline teams to define analytical goals and project scope
- Manage modelling projects end-to-end ensuring alignment with business benefits and executive buy-in
- Translate complex statistical concepts and model outcomes into clear actionable business insights
- Design develop and validate a broad suite of models including credit risk (PD LGD EAD) provisioning fraud and profitability
- Optimise credit strategies through robust modelling and insightful reporting
- Continuously improve machine learning architecture and research new modelling techniques to drive innovation
- Develop and deploy models using Python working closely with technology teams to maintain production quality
- Validate and manage the integrity of diverse data sources such as bank statements credit bureaux and financial reports
- Oversee model monitoring and governance systems for internal and executive use
- Coach and mentor junior data scientists facilitating knowledge sharing and team growth
Qualifications :
What Youll Bring:
- 4 years experience developing predictive models in a business environment
- Proficiency in Python and SQL
- Strong background in credit risk modelling (scorecards behavioural models provisioning collections)
- Excellent communication and presentation skills capable of building trust and translating analytics into business value
- Proven project management skills to define communicate and deliver analytical projects aligned with strategy
- Collaborative mindset with strong problem-solving abilities
Bonus points if you have:
- Experience in business or commercial finance industries
- Exposure to credit/product strategy design and optimisation
- Expertise in validating predictive models and provisioning models (IFRS9)
- Experience deploying Python models/microservices or working in clustered computing environments (e.g. Databricks)
Additional Information :
Key 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 were headquartered in North Sydney with state-based workplaces and offer a flexible work policy.
- Family support industry leading 26 weeks paid parental leave.
- Varied workspaces our office enables areas for collaboration brainstorming and socialising as well as focus zones.
- Range of benefits supporting your physical psychological and financial wellbeing.
#LI-Hybrid
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
