Opportunities to build a better working world are everywhere, and at AI & Data our people are solving the most complex challenges to deliver business growth, resilience and sustainability.
Cameron Wall
AI & Data (Asia-Pacific) Managing Partner
EY Business Solutions Pty Ltd
Bring your ideas and harness your technical and business skills to help build a better working world
As global economies and many organisations struggle to define and adapt to a COVID-normal state, our work at AI & Data is even more important. Applying your technical, business and creative problem-solving skills, you will help businesses navigate these uncertain times and find the smartest ways to solve their challenges.
Imagine being part of a team that is helping government agencies around the world accelerate AI & Data execution to respond to the global pandemic. Imagine helping a global mining organisation use artificial intelligence to predict when machines will fail, so that they can intervene and change the outcome. Imagine transforming the way businesses receive information, so that better and more transparent decisions are made.
This is the type of global impact we aim to achieve every day at AI & Data. To learn more, watch our AI & Data overview video and read our case studies below.
How AI & Data is building a better working world
What if your career didn’t follow a familiar path and you could shape your own?
We will provide you with the challenges, the technology, the learning and the global and local relationships for you to personalise and shape your career.
At AI & Data, we are blazing a new trail of professionals working in the technology domain. Our people have opportunities to develop future-focused skills through hands-on experience, market-relevant learning programs and working at client engagements across various industries and geographies.
Our commitment to transparency and openness from our leaders has created a culture of trust, where our people are empowered to express their individuality and bring their unique skillset to the role.
Flexibility and mobility
We understand the demands of your multifaceted life and we support that by giving you the freedom to flex your hours, where you work and equip you with the latest tools to help you connect with colleagues, project teams and clients effectively.
Engage with EY
Making a career move is more than just a job advert. Engage with EY is a program that caters to women with an established career foundation, interested in exploring opportunities with EY now or in the future. Program participants gain insights into our culture, skillsets and mindsets, and get a sense of a career with EY.
We have fun while doing extraordinary things
We like to have fun and our social calendar is as unique as our people. Our Asia-Pacific team is over 700 people strong (and growing!). Each year, we bring the full team together for our annual summit, with a purpose-built program of virtual and in-person L&D and social activities.
Where do you start if you want to change the world?
Turning good intentions into meaningful actions
Asia-Pacific is one of the most culturally diverse regions in the world and we mirror this in our teams. Our people are diverse, innovative, talented and committed to achieving our purpose of building a better working world. We stand out on the global stage because our people are trusted, experienced problem solvers who collaborate to understand our clients needs and drive business outcomes.
Women in AI & Data
We don’t just talk about driving gender equality, we live it. Our Women in AI & Data community is an intimate, safe space dedicated to learning and addressing the challenges women in STEM face, through motivational events, lunch and learn sessions, role-play and skills training.
Better Working World Data Challenge
Our annual global competition for aspiring data scientists is EY’s commitment to innovate and use technology to address some of the world’s largest environmental and climate change problems. The focus for the 2022 challenge was to use field data and satellite imagery to develop algorithms that will reduce the cost and time required to locate biodiversity. To learn more about the challenge and its purpose, click here.