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Associate Data Scientist

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AMP
Sydney, NSW
hybrid
Full Time / Permanent

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Posted 3 months ago
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Posted 5d ago

If you live in Australia or New Zealand, you've likely heard of AMP. But at a time when society is changing, we are too. We're now a nimbler business with new leadership and thinking.

For us, these are exciting times. There's a real potential for big thinkers to help us redefine what financial services could be. And turn our legacy into something even more positive and powerful for the future.

Help people create their tomorrow, while you create yours

We help people with their banking, super, retirement and finances. Through upturns, downturns, recessions, and major life transitions. Every day, we help people see and make more of their financial potential, so that they can create their tomorrow. And we've been doing it for over 170 years.

If we do our job well, we genuinely add to the prosperity of our country and its people.

This role sits within the Bank Data Sciences team and works closely with a wide range of stakeholders across AMP Bank. You'll collaborate with teams including lending, marketing, and customer retention to build, enhance, and maintain data‑driven tools and platforms that support both frontline decision‑making and customer outcomes.

As a Data Scientist, you'll apply data science and analytics techniques within the banking and finance environment, with a strong focus on home lending. The role involves analysing data using R, Python, and SQL, developing and maintaining R Shiny applications, and translating complex data into clear insights that inform strategy and enable smarter business decisions.

How will you make an impact

  • Design, develop, deploy, and maintain R Shiny applications and analytics solutions that support business decision‑making, operational efficiency, and customer outcomes.
  • Analyse complex datasets and develop predictive models using R, Python, and SQL to generate actionable insights, optimise processes, and support pricing strategies aligned to portfolio growth.
  • Collaborate with cross‑functional teams including Finance, Product, Risk, Marketing, and Lending to understand business needs and deliver data‑driven solutions.
  • Develop and maintain data pipelines, SQL queries, and automated workflows to support data extraction, processing, reporting, and model performance monitoring.
  • Clearly communicate insights and recommendations to both technical and non‑technical stakeholders, continuously refining and improving analytics solutions over time.

What you will bring to the role

  • Bachelor's degree in data science, Actuarial Science, Statistics, Computer Science, or a related discipline
  • 2–4 years' experience in data science or advanced analytics roles
  • Strong capability in R (preferred), Python, and SQL for data analysis, modelling, and automation
  • Hands‑on experience designing and deploying R Shiny applications
  • Solid foundations in data manipulation, visualisation, and statistical analysis, using programming tools and/or Microsoft Excel
  • Exposure to cloud platforms such as AWS, Azure, or GCP for data processing or deployment
  • Experience using version control tools (e.g. Git) and working within agile delivery environments

Who you are

You're naturally curious, thoughtful in your approach and enjoy solving problems that make a real business impact. You're comfortable working through ambiguity, take ownership of your work and bring exceptional judgement, critical thinking and attention to detail to everything you do.

You're also an excellent communicator and collaborative team player, able to explain complex ideas clearly to different audiences. You work well with others, manage multiple priorities with confidence, and thrive in fast‑paced environments where teamwork, learning, and continuous improvement are valued.

Why we think you'll love working at AMP

Doing what we've always done is not an option, so your clever ideas will get airtime here. You'll be encouraged to speak up and try new things. If they don't work, we move on – better for it.

We know there's no one way of doing things. So, you won't have to sacrifice who you are or how you work to fit in here. We're inclusive and flexible in many of the ways you'd expect. And in some of the ways you wouldn't. As long as your health and wellbeing come first - at home and at work.

In fact, most of what makes AMP such a welcoming, enjoyable place to work are our people. Wherever you go, you'll find moments to connect, feel valued and do meaningful work.

Whether it's through our first-class leaders who are invested in you and your success. Through year-round opportunities to volunteer, fundraise and give back to the community. Or in the everyday challenges you face as we work together to strengthen this great organisation. Challenges that will stretch you, amplify your potential and compound the impact you have.

We believe in the power of inclusion and diversity

We're dedicated to fostering inclusion, diversity, and a warm feeling of belonging at AMP. It sparks creativity, ignites innovation, and turns up the dial on the quality of our decisions and performance. This not only makes our workplace more engaged, but also leads to better connections with our customers.

We're your allies in the search for the perfect fit - when you apply, let us know how we can support you to put your best self forward during our selection process.

We're also committed to enhancing employment opportunities for Aboriginal and Torres Strait Islander people, so we enthusiastically encourage candidates from these backgrounds to apply and explore our Reconciliation Plan on our website.

Ready to create your tomorrow?

If you're someone who sees opportunity where others see challenge, come and work with us in smart, progressive ways as we transform an iconic Australian brand for the future. And, through a series of career-defining moments, create your own tomorrow.

Don't procrastinate! We review applications when we get them, and if we discover the ideal candidate, we may close the role earlier than the advertised close date.

Looking forward to meeting you.