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 / Permanent

Apply for this job

Posted 6 months ago
This role is expired

These roles are hiring now

View all similar roles →

Data Scientist

Telix Pharmaceuticals
Melbourne, VIC
hybrid
  • Analyse clinical & imaging data, develop ML/DL predictive models
  • 5+ years data science experience in clinical/biomedical applications
  • Python, R, TensorFlow, PyTorch, medical imaging (PET, CT, MRI, SPECT)
Posted 3d ago

Staff Data Scientist, Office of the Founders

Linktree
Melbourne, VIC | Sydney, NSW
hybrid
  • Analytical partner to founders/execs shaping strategy and direction
  • 5+ years data science or comparable analytical role in high-growth tech
  • SQL, analytics stack, driver-based forecasting, strategic analysis
Posted 7d ago

Data Scientist

DoorDash Australia
Melbourne, VIC | Sydney, NSW
hybrid
  • BizOps partner with Strategy & Operations and Executive Leadership Teams
  • 2+ years data analytics, consulting, or quantitative roles experience
  • SQL, Python/R, A/B testing, hypothesis testing, regression techniques
Posted 7d ago

Data Scientist

Alfred Health
Melbourne, VIC
  • Develop ML models for healthcare analytics and patient care improvement
  • 2+ years data analysis experience, healthcare experience highly desirable
  • Python, SQL, machine learning, deep learning, NLP
Posted 14d ago

InfoCentric is one of the largest Australian-owned specialist Data Consultancies, specialising in Cloud Data Platforms, Analytics and AI. At InfoCentric, we are driven by reliability, care for our people and pride in delivering exceptional data solutions across Strategy, Platform, AI and Managed Services to Australia's largest organisations

About the role:

We are seeking a Data Scientist to join our team in Melbourne. This role will focus on delivering data-driven insights, experimentation, and measurement initiatives across marketing and business functions. You will work closely with cross-functional teams, including analytics, data engineering, and business stakeholders, within a large-scale enterprise environment.

About you:

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

  • Strong hands-on experience with Python and SQL
  • Demonstrated expertise in A/B Testing and Causal Inference methods
  • Experience working with Azure ML, Snowflake, and Control-M
  • Good understanding of Azure methodologies, processes, and cloud-based analytics environments
  • Experience using Snowflake as a data source for analytics and Data Science activities
  • Understanding of ETL workflows and data pipeline processes
  • Exposure to large enterprise environments and working within cross-functional teams
  • Ideally, with experience in the retail or e-commerce industries
  • Strong communication and stakeholder engagement skills

About us:

At InfoCentric, we aren't driven by hype. Quality, accountability and honesty do not need to be flashy, they quietly outperform. When paired with a genuine commitment to a healthy, supportive team, they create something powerful. Our people work with integrity, we deliver data expertise as promised, and we show up for each other in all scenarios.

What's important to us:

  • Act with integrity — we do what we say we will do
  • Thrive together — we believe strong teams produce strong outcomes
  • Grow expertise — we invest deeply in data and AI capability
  • Build Trusted Partnerships — we are grounded in trust and shared purpose
  • Think big picture — we maximise positive impact, beyond projects
  • Embrace diversity — we create space for people to be themselves

These values reflect who we are and how we work. We are proud to be a diverse team where knowledge flows freely, allowing us to do our best.

Applications

We are grateful to receive a high volume of applications, however this means you will only be contacted if you are successful. We appreciate your interest in this role and in working with us. If you do happen to be unsuccessful for this role, we may retain your details so that you can be considered for future opportunities that may be a better match for you.