Senior Data Scientist, Enterprise AI #AIDA

Powering the Future with AIDA

To lead the next phase of our AI evolution weve launched a new business unit AIDA Artificial Intelligence & Data Analytics a strategic engine driving our transformation designed to scale our AI ambitions with precision and purpose. This marks a pivotal shift in how we operate innovate and serve to embed intelligence into every layer of our business.

At Singtel this is more than a technology upgrade. Its a strategic transformation that redefines how value is created across the enterprise coreaugmenting human capabilities and unlocking entirely new potential. It is a transformation journey by aligning people platforms and processes under one cohesive strategy. Our mission is to build AI literacy and foster a culture where intelligence empowers people.

We welcome you to join us on a transformational journey thats reshaping the telecommunications industry and redefining whats possible with AI at its core. Grow with us in a workplace that champions innovation embraces agility and puts human potential at the heart of everything we do.

Be a Part of Something BIG!

As a Senior Data Scientist within the AI & Data Analytics (AIDA) business unit you will play a critical role in designing and deploying enterprise-scale AI solutions that drive intelligent decision-making across Singtels business domains.
This role goes beyond traditional analytics to focus on high-impact AI use cases including pricing optimization anomaly detection and predictive intelligence across network customer and operational environments.

You will develop and operationalize advanced AI/ML models and simulation frameworks to:
Optimize pricing strategies and revenue outcomes
Detect anomalies and risks in real time across large-scale data systems
Enable proactive automated decisioning across enterprise workflows

You will work closely with cross-functional stakeholders (e.g. Network Finance Enterprise Business Product and Operations) to translate complex business challenges into scalable AI solutions leveraging advanced machine learning optimization techniques and Generative AI where applicable.

Make an impact by:

• Lead Data Science Initiatives: Drive end-to-end AI programs focused on enterprise use cases including pricing optimization anomaly detection and forecasting. Partner with business and technical stakeholders to define problem statements and architect scalable AI-driven solutions aligned with strategic priorities.
• AI Solution Development & Integration: Build and productionize scalable AI pipelines and decision systems integrating models into enterprise platforms and workflows. Ensure robustness in model governance explainability monitoring and lifecycle management.
• Cross-Domain Data & Insight Generation: Leverage diverse datasets (network customer financial operational) to uncover insights and enable:
  Root cause analysis via anomaly detection
  Scenario testing via digital twins
  Optimization of business levers such as pricing capacity and resource allocation
• 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.

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.
  
• Telecom or Insurance industries Sales / Marketing analytics experience will be an advantage.
  
• Deep technical and data science expertise demonstrating proficiency in:
  a) 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.
  b) LLMs & Generative AI: Fine-tuning and evaluation of large language models (e.g. GPT LLaMA) prompt engineering red-teaming and performance monitoring
  c) Efficient data manipulation (with skills in SQL Python Spark Hadoop/Hive and Databricks) and data visualization (using tools like Power BI).
  d) 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.
• Experience in mentoring junior team members through collaborative problem solving pair programming and constructive code reviews.

Are you ready to say hello to BIG Possibilities

Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career!