Overview
As Senior Data Scientist in the Data and Analytics Centre of Excellence (CoE) at TPG Telecom, 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.
Responsibilities
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 audience.
Qualifications
5-8 years hands-on experience designing, developing, deploying and iterating on machine learning models and advanced statistical techniques.
Strong proficiency in Python, SQL and dbt, with deep experience using data manipulation and modelling libraries and visualisation tools.
Experience with cloud environments such as AWS, Azure or GCP; familiarity with cloud-native data science tooling and workflows; prior working experience with Databricks is required.
Strong ability to apply data science within a business context, with demonstrated domain understanding, creative analytical thinking, and a track record of influencing decisions through data-driven insights.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
Telecommunications
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