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About the Role
As a Data Scientist within the AI & Data Analytics (AIDA) business unit, you will drive insights discovery and AI/ML model development to predict and respond to market changes. Your work will influence critical decisions across the organization, enabling data-driven strategies that uncover new customer insights, optimize operations, and unlock new revenue streams. You will play a leading part in advancing AI initiatives, where AI is used to personalize and scale telco product and service offerings, and develop predictive models for network anomaly detection, customer behavioral analysis, and cross-sell optimization.
Responsibilities
- Lead AI/ML initiatives supporting Singtel’s product and service offerings by working closely with stakeholders from Network, Enterprise, Sales, Product, and external partners.
- Define problem statements and architect end-to-end solutions, including the use of Generative AI and LLMs where applicable, to align with strategic objectives, regulatory requirements, and partner needs.
- Design, build, and productionize analytical models that enable intelligent decisioning within customer journeys.
- Integrate models into customer-centric decision engines while championing best practices around model governance, scalability, explainability, and continuous performance monitoring.
- Leverage customer behavioral data across Singtel’s Mobile, Broadband, and entertainment services to uncover actionable insights.
- Maintain and enhance analytical models that inform segmentation, product targeting, and value-based engagement strategies.
- Enable data exploration, insight discovery, and controlled experimentation (e.g., A/B testing, uplift modeling) to support lifecycle marketing and campaign optimization.
- Devise and execute rigorous A/B tests, segmentations, and optimization strategies to continuously improve business outcomes.
- Provide guidance to junior data scientists and collaborate on code reviews to ensure adherence to best practices, maintain high code quality, and promote knowledge sharing within the team.
- Communicate complex analytical findings and recommendations to diverse audiences in a clear, concise, and compelling manner.
Requirements
- At least 3 years of relevant working experience.
- Deep technical and data science expertise.
- Proficiency in Machine Learning & Statistical Modelling, including linear regression, GLMs, time series forecasting, supervised learning (e.g., gradient boosted trees, neural networks), segmentation, clustering, design of experiments, and causal inference.
- Proficiency in LLMs & Generative AI, including fine-tuning and evaluation of large language models (e.g., GPT, LLaMA), prompt engineering, red-teaming, and performance monitoring.
- Proficiency in efficient data manipulation with skills in SQL, Python, Spark, Hadoop/Hive, and Databricks.
- Proficiency in data visualization using tools like Power BI.
- Familiarity with software engineering best practices, including modular code design, reproducibility, and testing.
- Proficiency with version control tools such as GitHub, GitLab, and Bitbucket.
- Exposure to cloud platforms (e.g., Azure AWS, GCP) and ML lifecycle tools (e.g., MLflow, Airflow).
- Strong problem-solving skills, with the ability to identify and solve complex business problems through data analysis.
- A team player with a customer-focused mindset, able to work well in a team and passionate about delivering exceptional customer experiences.
- Excellent data visualization and communication skills, with the ability to present insights and findings in a clear, concise, and compelling manner, both in written and verbal form.
Skills
- Machine Learning
- Statistical Modelling
- LLMs
- Generative AI
- SQL
- Python
- Spark
- Hadoop/Hive
- Databricks
- Power BI
- GitHub
- GitLab
- Bitbucket
- Azure
- AWS
- GCP
- MLflow
- Airflow
- Data Visualization
- Communication
Experience Level
- 3 years of relevant working experience
Education Level
- Bachelor or Postgraduate degree in computer science, mathematics, statistics, or a related field
About the Company
- Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel.
- Every "hello" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights.