Did you know that the biggest contributor to the Australian economy is small to medium businesses? Australia’s 2 million SMEs employ over half the country’s workforce, account for a third of the GDP, and are the lifeblood of communities around the country.
We all know an Aussie business owner. It could be your partner, your mother, brother, or the person you buy your morning coffee from. People start a business to be their own boss, pursue their passion and to showcase their skills. But the reality is very different…It’s long days, sleepless nights, non-existent weekends and endless financial admin.
For every sale, there is an invoice to fill, a staff member to pay and an expense to be reconciled. In fact, small businesses spend over 6 hours a week on financial admin. This equates to a staggering 42 days of wasted productivity every year.
Thriday is a revolutionary new product that combines everything a business needs into one seamless and automated solution. We have created a product that is the fastest way for small businesses to manage their banking, accounting and tax obligations.
Thriday acts like a CFO in your pocket, taking care of everything a business needs. Using the data and insights from a Thriday business transaction account and debit card, Thriday offers intelligent value-adds like expense tracking, invoicing, tax forecasting, payroll and more. These tools help win back time for busy business owners, but more importantly, it allows them to plan for the future with real confidence.
These valuable features are made possible by our blank-sheet technical stack, which leverages AI & ML fed by a real-time stream of data from the core business transaction account. No legacy systems, no antiquated technology - just a fresh new approach.
We are looking for a Data Scientist to join our data science team. You will have a passion for discovering values hidden in large data sets and working with product team to improve model’s outcomes. This is a perfect opportunity for the successful candidate to become a part of an innovative and energetic team.
To succeed at this role, you must be confident in working with big data, understanding the data and applying AI techniques to extract the hidden value within big datasets, source data from multiple datasets through APIs and integrate all this data as well as predicting future trends by correlating data from multiple sources.
Key Responsibilities include:
Driven by purpose
Helping businesses succeed is why we show up every day. We invest time into understanding what matters most in accomplishing our purpose, and use data to make sound decisions and determine the best course of action.
Committed to action
By setting clear goals we act with focus, determination, resilience and ownership to deliver our commitments. We keep moving forward in pursuit of the best outcomes and willingly take on worthwhile challenges.
We have the desire and autonomy to seek new ideas, try new things and take calculated risks that contribute to our customer’s success. We have ambition in our heart and always consider the possibilities, because what is good today won't be good enough for tomorrow.
Our enthusiasm to constantly learn, build knowledge and improve what we do means we can achieve anything. We grow together by tracking our performance, sharing constructive feedback, collectively adopting a growth mindset and see our mistakes as an opportunity to learn and grow. If we thrive so will our customers.
In trust we thrive
We empower each other and our partners to perform with confidence and creativity, believing those who are closest to the decision will make the best decisions. We are always honest and transparent and expect the same in return and genuinely recognise the efforts and achievements of others. Trust bonds us together.