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Optus is an Australian telecommunications company, delivering more than 11 million services to our customers every day across mobile, broadband, and digital solutions.
Join us as a Data Scientist and help shape the future of AI! In this transformation-focused role, you’ll lead end-to-end AI initiatives, designing and deploying advanced ML models, leveraging generative AI and automation, and driving enterprise-wide adoption of cutting-edge technologies. You’ll work on impactful projects that deliver real business outcomes while championing responsible AI practices.
This is a hands-on role in a dynamic, collaborative environment where innovation and entrepreneurial thinking are celebrated. You’ll also have the autonomy to explore big data, engineering features, and build scalable solutions, all while working closely with peers and stakeholders
What You’ll Be Doing
If you require any adjustments or accessibility support to participate fairly and equitably in the recruitment process, please email [email protected] or call 1800 309 170. We're here to help. When you contact us, please advise your preferred method of contact and we will be in touch within 48 hours.
For more information on Diversity, Inclusion & Belonging at Optus, please visit https://www.optus.com.au/about/inclusion-diversity .
Join us as a Data Scientist and help shape the future of AI! In this transformation-focused role, you’ll lead end-to-end AI initiatives, designing and deploying advanced ML models, leveraging generative AI and automation, and driving enterprise-wide adoption of cutting-edge technologies. You’ll work on impactful projects that deliver real business outcomes while championing responsible AI practices.
This is a hands-on role in a dynamic, collaborative environment where innovation and entrepreneurial thinking are celebrated. You’ll also have the autonomy to explore big data, engineering features, and build scalable solutions, all while working closely with peers and stakeholders
What You’ll Be Doing
- Partner with cross-functional stakeholders to design, build, and implement cutting-edge Data Science and AI solutions—harnessing NLP, machine learning, and deep learning—to deliver measurable business impact.
- You enjoy being hands-on and are excited to apply your data science knowledge to uncover insights and develop meaningful and driven outcomes for clients.
- Support the assessment, development, build & test of new use cases to meet the AI Strategy objectives in an agile environment and across agile & non-agile teams.
- Delivery of use cases, utilising appropriate sophisticated techniques and contextualising these into end-to-end pipelines.
- Assist with identifying and developing new and emerging trends, working with suppliers and 3rd parties to develop new and innovative approaches to business problems.
- Engage with business teams across Customer Engagement, Service, Marketing and Analytics as required to clearly define the business problem, articulate approach, process, assumptions and pathways to drive efficient solutions adoption.
- Strong curiosity with the ability to bring different approaches and new perspectives to solving problems.
- Degree in Data Science, Mathematics, Statistics, IT, Artificial Intelligence/Machine Learning, Engineering or a related field.
- Strong experience in advanced data analytics or machine learning / AI / Statistics or STEM.
- Proven experience in building end-to-end machine learning systems using a combination of big data tools and programming languages like R, Spark/Scala, Java and/or Python.
- Proven implementation of machine learning algorithms such as SVM, decision trees, logistic regression, clustering, neural networks, graph models to solve real world business problems.
- Exposure to marketing, automation and digital platforms and systems such as PEGA, Salesforce or AEM in B2B environments.
- Competitive remuneration and employee discounts. Make life easier (and more affordable) with $80 monthly credit and 25% off Optus products and unique shopping discounts with our retail partners.
- Flexible working arrangements with opportunities to work three days in the office, two days remote or home.
- Vibrant and collaborative office campus that includes cafes, convenience store, chill out zones, GP, post office, gym and on-site childcare centre.
- Competitive leave policies, including additional 'Connected’ days to focus on culture, family, health, community, or whatever’s important to you.
- We support growing families with inclusive, carer-neutral paid Parental Leave of up to 16 weeks.
- Direct your own development and build future-ready skills with Optus U’s industry-focused micro-credentials, developed with La Trobe and Macquarie Universities.
- Build meaningful connections through employee-led networks and diversity initiatives including Culture Connect, Elevate Women, Disability Network and Express Yourself (LGBTQIA+).
- Put your wellbeing first with free access to counselling and support services, 24/7 — in-person, by phone, SMS, or video.
If you require any adjustments or accessibility support to participate fairly and equitably in the recruitment process, please email [email protected] or call 1800 309 170. We're here to help. When you contact us, please advise your preferred method of contact and we will be in touch within 48 hours.
For more information on Diversity, Inclusion & Belonging at Optus, please visit https://www.optus.com.au/about/inclusion-diversity .
Key Skills
Ranked by relevance
ai
machine learning
big data
neural networks
salesforce
java
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- Posted
- Jan 22, 2026
- Type
- Full-time
- Level
- Entry
- Location
- Sydney
- Company
- Optus
Industries
Telecommunications
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Senior Data & Machine Learning Engineer (all genders)
2026-05-21
Full-time
Not Applicable
Austria
IT Services
Engineering
View Job Details
Related
Analytics Engineer
2026-05-26
Full-time
Not Applicable
Canada
Telecommunications
Information Technology
View Job Details
Related
Fixed network planner
2026-05-25
Full-time
Not Applicable
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Telecommunications
Engineering