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Data Scientist

  • 929632
  • All Locations
  • Remote
  • Sydney
  • Brisbane
  • Ipswich
  • Adelaide
  • Bendigo
  • Melbourne
  • Full Time
  • Two roles available, each with a different focus and selection criteria
  • Flexible location: Work from any of our corporate offices across Australia or from home.
  • One of Australia's biggest banks - A top 100 ASX listed Company

About us 

With more than 160 years of history, we are proud of our position in the community with more satisfied customers than any other Australian bank.  Every day, we work hard to bring our company purpose to life, feeding into the success of our customers and communities and not off it.

We're more than just a bank with banking products. We change the lives of customers and communities. Commercial actions with heart!

Our time is now. We are challenging the status quo and we're excited about our future!

About the roles

We have two roles available, one focusing on key data science capability and capacity for the Customer Intelligence Hub and the current customer engagement program of work.  And the other is supporting the Lending Process Automation project to work on the Optical Character Recognition development.

Both roles report into the Data Insights Service Owner, within the Customer & Data Enablement Practice.  Specialising in the application of deep statistical analytics to solve complex business problems. Working across the three pillars of analysis (Descriptive, Predictive, Prescriptive).

Key responsibilities include:

  • Proactively seek and suggest improvements to existing processes, outlining any risks and recommend optimal solutions
  • Ensure appropriate fail-over and exception-handling is fully incorporated in deployed automated solutions
  • Work closely with business analyst, project managers, product owners, and functional experts (business) to validate technical integration and development conforms to requirements
  • Work with SMEs to illicit requirements
  • Manage change requests to support development and maintenance

About you 

You will have knowledge of Machine Learning and AI techniques (e.g. supervised and un-supervised machine learning techniques, deep learning, statistical analysis, time series, NLP, sentiment analysis, etc.) 

To be successful in these roles you will have:

  • Software engineering practices (coding practices to DS, unit testing, version control (Git), code review)
  • Deep understanding of data manipulation/wrangling techniques
  • Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud)
  • Experience with containerisation (e.g. Docker, Kubernetes) (desirable)
  • Used Data Science platforms (e.g. Databricks, Azure Machine Learning) or frameworks (e.g. Tensorflow, MXNet, scikit-learn)
  • Experience with Optical Character Recognition (OCR) technology such as AWS Textract and be able to use Python, R or Spark to extract insights from data would be ideal.

Why us? 

There's so much more to a career with Bendigo and Adelaide Bank than just banking. 

Get real benefits, work life balance and flexibility. You bring your brilliant mind and we’ll help you take your learning to the next level with on the job training and external development opportunities - we want you to shine. After all, YOU are the difference that makes us the better big bank.

At Bendigo and Adelaide Bank we believe a diverse workforce supported by an inclusive culture is central to our success and we actively encourage applications from those who bring diversity of thought to our business. We support candidate requests for adjustment to accommodate an illness, injury or disability to equitably participate in the selection process.

Be quick to apply as applications will be reviewed as they are submitted, and the advert may close before the listed closing date.

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