Data Scientist

Who we are?

InfoTrack is a leading SaaS technology innovator that is helping a range of professionals, businesses and individuals in a digital age. We care about what we do and the people we work with. We partner with our clients to identify their challenges and constantly look for ways to evolve our products to maximise their impact.

The Role

We are seeking a highly driven and talented Data Scientist to join our dynamic and growing team. This role requires an individual with a passion for leveraging advanced analytics, statistical modelling, and machine learning to extract actionable insights from complex data. The successful candidate will design and implement predictive models, drive data-driven decision-making, and communicate findings and recommendations to stakeholders across the business.

About you

You’re a data-driven, strategic professional who solves complex problems with analytical rigour and innovative thinking. You take initiative, manage priorities effectively, and maintain high standards, always keeping the client at the centre of your decisions. Energetic and resilient, you deliver results with focus, determination, and a proactive approach.

Key Roles and Responsibilities

• Design, develop, and deploy predictive and prescriptive models using machine learning and statistical techniques.
• Extract, transform, and analyse large, complex data sets with SQL, Python, and/or R.
• Build and maintain scalable data pipelines and automated workflows to support model training and deployment.
• Conduct exploratory data analysis, hypothesis testing, and advanced analytics to uncover insights and trends.
• Communicate findings, model outputs, and strategic recommendations effectively to both technical and non-technical stakeholders.
• Collaborate with stakeholders and mentor junior analysts to execute the data science roadmap and foster analytical excellence.

Skills, Knowledge and Experience:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field
• Strong proficiency in Python and/or R for statistical analysis, machine learning, and data manipulation.
• Advanced SQL proficiency and experience with structured and unstructured data sources.
• Solid understanding of data warehouses, dimensional data models, and data lake architectures using Databricks.
• Hands-on experience with machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch, XGBoost).
• Knowledge of deep learning techniques and their practical application to business problems.
• Experience with data visualisation tools such as Tableau, Power BI, or equivalent.
• Solid understanding of analytics products and experimentation frameworks (e.g. A/B testing).

The Rewards and Culture

What We Offer:

Personal Development We have a rich history of providing people with growth opportunities throughout their InfoTrack journey. We provide our people with professional development plans, technical training, leadership programs, and clear career progression opportunities.

Reward & Recognition We have a culture of recognising the contributions of our people and rewarding them for their impact. We have various formal recognition programs as well as access to our employee share scheme. We put an emphasis on staff happiness, so we have a well-stocked snack cupboard, weekly catered lunches, free breakfast every morning and locally based social committees that drive events for each office including a Table Tennis competition.

Health & Wellbeing We care about our people’s well-being and that is why we offer a range of benefits including fully covered gym memberships, monthly in-house massages, progressive leave policies and access to an Employee Assistance Program.

Join a company that puts people first, where your contributions are valued, and your potential is supported every step of the way. Apply now or message us directly to find out more!

At InfoTrack we are a diverse workforce and we’re proud to be an equal opportunity employer. We believe our differences make us stronger. We therefor encourage applications from Aboriginal and Torres Strait Islander people and people of all cultures, abilities, sex, and genders.