Data Scientist, AI & Analytics — Predictive Modeling

Singtel; Singapore; Presencial; Confidential; Jornada completa

Descripción de la vacante

Singtel is seeking a Data Scientist within the AI & Data Analytics (AIDA) unit to drive insights, build AI/ML models, and respond to market shifts impacting the business.

You will develop predictive models for network anomalies, customer behavior, and cross-sell opportunities, collaborating with internal teams and external partners to deliver data-driven solutions across Singtel’s product and service offerings.

Responsabilidades

• Lead AI/ML initiatives across Singtel's product and service offerings, defining problem statements and architect end-to-end solutions.
• Design, build, and productionize analytical models to enable intelligent decisioning within customer journeys and integrate these models into decision engines.

Descripción del empleo

An empowering career at Singtel begins with a Hello. 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. So, when you say hello to us, you are really empowered to say…“Hello BIG Possibilities”.

As a Data Scientist within the AI & Data Analytics (AIDA) business unit, you will assume a key role in driving insights discovery and AI/ML model development to predict and respond to market changes and their impact on Singtel’s business. 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.

In this role, you will play a leading part in advancing AI initiatives, where AI is used to personalize and scale telco product and service offerings. You will develop predictive models for network anomaly detection, customer behavioral analysis, and cross-sell optimization. This includes close collaboration with internal stakeholders and external partners to co-create data-driven AI/ML solutions.

Make An Impact By

• Lead Data Science Initiatives: Drive 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.
• Model Development & Integration: Design, build, and productionize analytical models that enable intelligent decisioning within customer journeys. Integrate these models into customer-centric decision engines while championing best practices around model governance, scalability, explainability, and continuous performance monitoring.
• Customer Behavior & Lifecycle Analysis: 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.
• Data Exploration & Experimentation: Enable robust data exploration, insight discovery, and experimentation for lifecycle marketing campaigns. Devise and execute rigorous A/B tests, segmentations, and optimization strategies to continuously improve business outcomes.
• Technical Mentorship & Code Quality: 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.
• Stakeholder Communication: Communicate complex analytical findings and recommendations to diverse audiences—ranging from technical teams to senior leadership—in a clear, concise, and compelling manner.
  
  

Skills For Success

• Bachelor or Postgraduate degree in computer science, mathematics, statistics, or a related field, with at least 3 years of relevant working experience.
• Deep technical and data science expertise, demonstrating 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.
• LLMs & Generative AI: Fine-tuning and evaluation of large language models (e.g., GPT, LLaMA), prompt engineering, red-teaming, and performance monitoring
• Efficient data manipulation (with skills in SQL, Python, Spark, Hadoop/Hive, and Databricks) and data visualization (using tools like Power BI).
• Familiar with software engineering best practices, including modular code design, reproducibility, and testing. Proficient 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.