At Zeller, we believe that businesses of all sizes deserve better financial and payment products and services.
Founded in Melbourne in 2020 and backed by leading VCs, Zeller is a collective of experienced payment and tech industry professionals who are aiming to redefine business banking and the way Australian businesses get paid by their customers. With an exciting roadmap of innovative new products under development we are building a high performing team to take on the incumbents.
If you are passionate about innovation, thrive in fast-moving environments, love a challenge, hate bureaucracy and can’t think of anything more exciting than disrupting the banks, we’re putting together a team you might want to join.
As a Data Scientist you will be responsible for implementing our data science strategy - which spans analytics through to machine learning across product development, performance improvement and risk management.
You will work closely across our Strategy and Operations team to provide long-term and short-term decision making information. You are comfortable working cross functionally, internally and externally driving projects and providing insight, staying multiple ‘moves’ ahead of where we are.
You will have a passion for data driven insights and the application of data science to real world problems.
Data Operations:Execute Zeller’s approach to the collection and use of data assets across the business;Build processes and techniques to ensure the quality of data and information across the business and providing the basis of high trust in all of data assets;Work with Data Engineers to efficiently and effectively scale our data infrastructure to ensure that Data Science needs are incorporated into our growth roadmap.Analytics:Implementation and execution of Zeller’s Machine Learning approach across all business applications and domains - from pricing to risk management and beyond. This will include: Developing and training machine learning models to scale workflows for both customers and internal users; supporting new product development ideas by providing guidance on the best use of AI/ML to develop products or supporting tools.Working with the business across research and day-to-day activity to provide tools, insights and BI to support decision making.Using data and analysis techniques to identify: Product improvements - including cross sell / up sell, improved personalisation, pricing and risk management; Process improvements - including funnel optimisation, churn / loss reduction, improvements to the business’ forecasting approach; Monetisation opportunities of Zeller’s data assets.
Your background and experience
2 - 5 years of experience in BI / Data Science in a high growth environment;Strong mathematical & numeracy skills;Experience in SQL, noSQL, Python / R / Matlab - Python skills are valued;Understanding of ETL framework and ETL tools including Skyvia, FiveTran, Apache Airflow;Excellent analytical skills - the ability to identify trends, patterns and insights from data;Experience with ML / AI models and their application to business problems such as churn, cross sell, risk assessment and other; Experience interpreting data and analysis to translate these insights into actionable outcomes / business decisions that improve Zeller’s strategy, product and operations.
You love to challenge the status-quo; You’re agile, ambitious, and motivated to be the best at everything you do;Ability to work autonomously yet collaboratively;Excellent attention to detail;Presentation skills – ability to write and speak clearly to easily communicate complex ideas in a way that is easy to understand;Structured problem solving skills and comfortable with ambiguity;Be able to continually balance speed, perfection, and actionable outcomes from your analysis.
What’s in it for you?
Zeller offers a balanced, progressive and supportive work environment - with a competitive salary package, including equity from an early stage.
With competitive parental leave and other benefits on offer, now's the time to join our rapidly growing team with opportunities to develop your career - wherever your passions and skills take you.