Job Description
The Company
We have partnered with an innovative Payments company that is in growth phase. This scale up organisation is transforming the way people pay online and in-store by allowing shoppers to receive products now and pay for them later, helping consumers to spend responsibly on things they love. This is a Global organisation that is growing rapidly due to the success of its products.
The Opportunity
As a Data Scientist, your role will focus on building algorithms, as well as advising and mentoring the Data and Risk areas as the organisation grow.
Key Accountabilities
This role will give you the autonomy to thrive while being part of a top-notch team of experienced colleagues who collaborate on the challenges surrounding data science.
You'll be a confident communicator who is comfortable advising on the best approach to improve business outcomes in the marketing, credit risk, fraud and operations space.
The ideal candidate for this role will have:
- 4 years + experience as a Data Scientist with a background in financial services sector
- Strong Python and SQL experience
- Expertise in training and deploying predictive machine learnt models
- Ability to reason about statistical models, both applied (clustering methods, tree models, etc) as well as theoretical (frequentist methods, etc)
- Experience with PyTorch, TensorFlow, or other neural net frameworks is a bonus
- Solid skills in building and deploying algorithmic models, preferably in the financial services sector
- Familiarity with Linux-like development stacks, including Git, Kubernetes, etc Familiarity with AWS infrastructure (such as S3, Athena, Glue, etc)
- A Master's Degree (preferred) or an undergraduate degree in a quantitative field such as statistics, mathematics, or Computer Science
- Must be willing to travel to Wollongong(NSW) twice a week.
Why Apply?
- Professional development budget, training plan and career guidance.
- Inclusive Work culture
- Flexible work arrangement
Your next steps
If you would like to work for a company that places enormous value on their employees, then please apply now. Alternatively, please call Hima Arafath on 0452089967 for a confidential conversation.
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