Skip to main content

Data Scientist

Expired
This role has expired and is no longer accepting applications. Browse similar roles →
InfoCentric
Melbourne VIC
Full Time

Apply for this job

Posted 4 months ago
This role is expired

These roles are hiring now

View all similar roles →

Data Scientist - HRIS Administration

Leukaemia Foundation
Melbourne, VIC
hybrid
  • Build predictive models, AI solutions, and dashboards across data lifecycle
  • Experience in data science, machine learning, and cloud platforms required
  • Python/R, SQL, Snowflake, GCP/Azure, Power BI, AI tools (Gemini/OpenAI)
Posted 3d ago

Senior Data Scientist

Department of Transport Victoria
Melbourne, VIC
  • Data analysis, machine learning and predictive modelling for transport
  • Strong quantitative and analytical skills required
  • SQL, Python, R, GIS, PySpark, Databricks, MLflow
Posted 5d ago

Data Science Consultant

SymphonyAI
Melbourne, VIC
hybrid
  • Design, build, and deploy AI/ML solutions for financial services customers
  • 5-10 years data science/ML, 3+ years financial services, 2+ years client
  • NLP/LLMs, graph analytics, Python, SQL, MLOps, model governance
Posted 13d ago

Senior Data Scientist (12 Month Contract)

Chubb
North Sydney, NSW
hybrid
  • Predictive analytics for pricing, underwriting, claims & digital transformation
  • 5+ years data science & advanced analytics experience
  • Python, ML libraries, Databricks, Snowflake, GLMs, gradient boosting
Posted 7h ago

InfoCentric is one of the largest Australian-owned specialist data consultancies, specialising in Cloud Data Platforms, Analytics, and AI. We deliver leading solutions across Data Strategy and Advisory, Cloud Data Platforms, Artificial Intelligence, GenAI, and Business Analytics and Insights to some of Australia’s largest organisations.

About the role

We are looking for an experienced Data Scientist to join our team in a long-term, permanent capacity in Melbourne, Australia. This role is ideal for someone with strong analytical capability and hands-on experience delivering forecasting and data-driven insights within modern cloud environments.

About you

To be successful in this role, you’ll need:

  • 5–8 years of experience as a Data Scientist
  • Strong skills in SQL, Python, and Linux/Unix
  • Hands-on experience with Azure cloud platforms
  • Solid experience working with Snowflake
  • Proven experience in time-series forecasting
You’ll be at an advantage if you also have:
  • Exposure to data engineering concepts and pipelines
  • Experience working across end-to-end data solutions
About us

At InfoCentric, our employees are the heart of our business. Many of our team members start their careers with us and grow into positions of responsibility. We are at the forefront of Data Platforms, Analytics, and AI, driving innovation and delivering smart solutions for our clients.

Our core values reflect what’s important to us:

Realise Opportunity

  • We cover the cost of training and certifications in the latest tools and technologies, including AWS, Azure, Snowflake, and AI
  • Work with industry leaders on complex Data Platform and AI projects from day one
  • Access mentorship and collaboration from experienced professionals

Thrive Together & Embrace Diversity

  • Receive genuine recognition for your work and valued behaviours
  • Regular social events include private cinema screenings, bubble soccer, mini golf, bowling, and social drinks
  • Be part of an inclusive and diverse team
  • Collaborate with experienced technical professionals across Data Platforms, AI, and GenAI

Think Big Picture

  • Flexible working to balance family, life, and career
  • Create meaningful impact and drive positive change
  • Contribute to continuous improvement across the business

To find out more, visit our LinkedIn Life Page or www.infocentric.com.au.

Applications

Due to the high volume of applications, only successful candidates will be contacted. If unsuccessful, your details will be retained and considered for future suitable opportunities. Thank you for your interest in InfoCentric.