Senior Data Scientist (12 month FTC)

As a Senior Data Scientist in Data and Analytics Centre of Excellence (CoE) , you will lead the development and enhancement of advanced analytics and machine learning solutions across key business domains. You will partner closely with stakeholders to understand strategic objectives, identify high-value opportunities, and deliver practical, data-driven solutions that create measurable business impact. You bring strong business acumen, curiosity and a bias for action in a dynamic environment.

You are an experienced and pragmatic Data Scientist who is energised by solving complex, real-world problems. You excel at working across teams, shaping analytical approaches, and managing expectations with clarity and confidence. You anticipate challenges early, adapt your approach when priorities shift, and maintain a strong focus on delivering practical outcomes. You hold yourself to a high standard while supporting others, and you bring curiosity, commercial awareness, and a collaborative mindset to everything you do.

Advanced Model Development: Design, build and enhance machine learning and statistical models to address complex business problems and drive strategic decision-making.

Data Analysis & Insight Generation: Conduct in-depth analysis across diverse datasets to uncover trends, patterns, and opportunities, delivering actionable insights to stakeholders.

Business Problem Solving: Engage with stakeholders to understand challenges and translate them into structured analytical questions, shaping solutions that align with business priorities and customer needs.

Collaboration & Capability Uplift: Collaborate with data scientists, analysts, data engineers and business teams, sharing best practices and contributing to a culture of continuous learning and improvement within the CoE.

Documentation & Communication: Produce clear documentation of methodologies, models, and analytical outputs, and communicate findings in a compelling and accessible way to both technical and non-technical audiences.

Machine Learning & Statistical Modelling: 5-8 years hands-on experience designing, developing, deploying and iterating on machine learning models and advanced statistical techniques.

Programming & Data Manipulation: Strong proficiency in Python, SQL, and dbt with deep experience using data manipulation and modelling libraries, as well as visualisation tools.

Cloud Computing Proficiency: Experience using cloud environments such as AWS, Azure or GCP, and familiarity with cloud-native data science tooling and workflows. Prior working experience with Databricks is required.

Domain Expertise & Problem Solving: Strong ability to apply data science within business context, with demonstrated domain understanding, creative analytical thinking, and a track record of influencing decisions through data-driven insights.

Flexible hybrid way of working (from home and office)

‘Stay Connected Mobile’ – Access to a free mobile plan

‘Stay Connected NBN’ – Access to a free, high‑speed NBN plan (up to 500 Mbps)

‘Your Leave’ - an additional 4 days of leave to be used whenever you like - every year

Access to TPG Learning Hub platform and internal development opportunities

Access to Corporate Partner Discounts

Don’t meet every single requirement? That’s OK! At TPG Telecom, we’re all about creating an accessible workplace where everybody feels safe to bring their authentic self to work - regardless of background. If you think this role is a great fit for you but some of the qualifications don’t align with your experience, we still encourage you to apply - you might just be the perfect candidate for a similar role with us! Learn more about life at TPG Telecom here .

TPG Telecom also acknowledges the Gadigal People of the Eora Nation as the Traditional Custodians of lands and waterways where this office can be found in Barangaroo.

Our Talent Acquisition Team and Hiring Managers kindly request no unsolicited resumes or approaches from Recruitment Agencies. TPG Telecom is not responsible for any fees related to unsolicited resumes.