TPG Telecom18 jobs

Senior Data Scientist

SeniorFull-timeHybridSydney NSW, AustraliaProfessional servicesDataInformation technologyPosted 5 days ago
View your fit0 of 9 criteria met

About the job

As a Senior Data Scientist at TPG Telecom, you will play a vital role in developing and enhancing advanced analytics and machine learning solutions that drive meaningful business impact. This position offers an exciting opportunity to collaborate with stakeholders, tackle complex challenges, and contribute to a culture of continuous learning within the Data and Analytics Centre of Excellence. The team values curiosity, collaboration, and a commitment to delivering practical outcomes in a dynamic environment.

You'll be responsible for

📊

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.
🤝

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.

Skills you'll need

🤖

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.
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Meet the team

About the company

View your fit

0 of 5 criteria met
Machine learning and statistical modelling expertise
5-8 years of hands-on experience designing and deploying models.

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Proficiency in Python and SQL
Strong skills in data manipulation and visualisation tools.

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Cloud computing experience
Familiarity with AWS, Azure, or GCP and Databricks.

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Domain expertise and problem-solving
Ability to apply data science in a business context.

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Collaboration skills
Experience working with cross-functional teams to drive insights.

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