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Senior Consultant, Data Scientist
  • Python
  • Spark
  • SQL
  • Machine Learning
  • Scala
NAB
Melbourne VIC
129 days ago
Work type: Permanent Full time
Location: Aust - VIC Metro

Please note that this role is temporarily listed as “remote” due to the current requirements for all Australians to practise social distancing amid the COVID-19 pandemic. We will discuss with you your ongoing requirements throughout the recruitment process.

  • Lead, inspire and make a difference
  • Collaborative & challenging fast paced culture
  • We embrace diversity & inclusion at our core

You & your new role
We are looking for a driven, structured and methodical data scientist to join our team to provide leadership and coaching in all areas that relate to Data Science. You will leverage NAB's technology and data to conduct discovery activities and deliver, manage and lead advanced analytic insights to enable NAB to achieve our strategic objectives.

You will provide insights by applying rigorous data science methodologies to develop statistical and mathematical models, while also having the chance to be involved with exciting advancements in artificial intelligence and machine learning and innovation.
You will develop best practice for analytics at scale, and lead discussions within NAB on how to operationalise analytics within our best practice framework and how key stakeholders should leverage the current technology stack.

A typical day will include:

  • Develop, test and implement statistical and mathematical models, using a variety of rigorous techniques, across multiples business lines
  • Represent the analytics hub at events presenting and demonstrating on topics such as data science best practice, NAB model use cases and in-depth sessions on particular data science techniques.
  • Develop frameworks for data science best practices, and work closely with the analytic platform team to automate frameworks for scalability to the wider NAB.
  • Support the team with learning and development, and help with upskilling resources in new data science techniques.
  • Support, test and develop Machine Learning & Artificial Intelligence capability across the enterprise
  • Support bank-wide Data Science, including segmentation frameworks, lifecycle event triggers, predictive models and advanced analytics
  • Present insights and learning’s in a clear way to our executives
  • Support NAB to deliver on our strategic agenda

What you will bring:

  • A background in statistical analysis and modelling techniques over large data sets, with proven capability constructing, validating, and implementing models
  • You're comfortable developing code and performing analysis using common tools such as R / Python
  • Ability to build appropriate models from scratch and justify the methods and science used
  • The ability to explain simply how complex models work, and how they can be used in the real world to achieve desired business outcomes
  • Expertise in Predictive Modelling, Feature Engineering, Machine Learning and Natural Language Processing
  • Technical skills with Spark, R, Python and SQL

We're NAB
We believe success comes from our people. We're committed to supporting your talent and skills through your career, as you help us build a culture that affects change for our customers - and for the community too.
We are an equal opportunity employer and welcome diversity in the workplace.

The benefits
From education and volunteer leave to learning benefits and banking discounts, we offer access to a wide range of employee benefits. For more information please visit here.

If you think this role is the right fit for you, we invite you to apply. Let’s have a serious but informal chat about who you are and what drives you. We’d love to share our vision for the future of banking.

To be eligible to apply, you must have Australian or New Zealand citizenship or permanent residency status. Please note candidate screening and interviews may be conducted prior to the closing date of the job advert.

  • Please note unsolicited CVs from agencies will not be accepted.

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