Python Job: Data Scientist

At ING we put our Customers at the forefront of everything we do, through the leading products we offer, to the experience our customers have with us. A driving force behind our success is that we’re always using data to understand what it is our customers want, and helping our internal teams ensure that we’re building products and systems to meet / exceed those demands.

Which is a great segue to the role we have available, a Data Scientist, who would be joining our customer interactions team and would be responsible for establishing and developing ING’s advanced analytics capability.

We’re looking for someone who has a deep understanding of data exploration, analysis, and development of insights, with a focus specifically relating to automated decision making through machine learning. If you want to work at a place where we believe that you can make a difference by using machine learning to generate data driven products and solve the most pressing data challenges, then this role is definitely one you shouldn’t miss!

What are you going to do? You will…

• Develop and enhance ING’s data science and machine learning environment to improve business outcomes.
• Build advanced analytics foundation and capability by working in conjunction with data engineers and developers to drive advanced analytics infrastructure projects.
• Perform comprehensive advanced analytics to understand / solve business opportunities / issues and understand / optimise customers, their usage and behaviour.
• Evaluate and implement advanced analytics tools (e.g. Python)
• Provide ad-hoc analysis to key stakeholders.
• Represent ING Australia on advanced analytics projects with the global advanced analytics unit.
• Mentor other members in the ING analytics community on more advanced analytical techniques.

What are we looking for? Someone who has…

• Demonstrated expertise in using analytical tools such as R, Python, SAS and SQL. We use all of these, so the more of those, the better.
• A bit of experience, using statistical methods and in advanced machine learning techniques. If you haven’t, you should at a minimum know how machine learning works, and the principles.
• Exposure to Machine Learning in cloud computing environments (GCP) and Big Data will be an advantage.
• Some exposure to project management principles
• Bachelor's / or Master’s in Analytical disciplines (Data Science, Econometrics, Mathematics, Statistics, and Actuarial Studies). But if you have the relevant work experience, a formal qualification isn’t essential.
• Excellent problem solving, analytical and research skills, with a strong attention to detail.

If you meet a number of the requirements, but not all, we encourage you to submit your application.

About Us

At ING, we want to make life simpler and more worthwhile – for everyone who banks with us, for the people who work with us, and the community at large, too.
When you come to work at ING, you’re joining a team where individuality isn’t just accepted, it’s encouraged. We’ve built a culture that’s fun, friendly and supportive – it’s the kind of place where you can be yourself and make the most of whatever you have to offer.

We give people the freedom to take risks, think differently, take ownership of their work, and make great things happen. We’re here to help you get ahead. And with our global network, there’s plenty of scope to take your career in new directions, perhaps even ones you’ve never considered.

People of all ages, sexual orientations, cultures and backgrounds are welcome to apply – likewise if you’re an indigenous Australian, or you’re living with a disability, or you have family or caring responsibilities.

Sound like the kind of place you’d feel at home? We’d love to hear from you.

(One last thing, ING operates a direct talent sourcing model. So no agency introductions, please.)

Need more?
Contact [email protected]