Senior Data Scientist, Marketing AI #AIDA
Indexed description
At Singtel, this is more than a technology upgrade. It’s a strategic transformation that redefines how value is created across the enterprise core—augmenting 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 that’s reshaping the telecommunications industry — and redefining what’s 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 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 customer eligibility, churn/purchase propensity, 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 Marketing, 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.
- 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:
- 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.
- Experience in mentoring junior team members through collaborative problem solving, pair programming, and constructive code reviews.
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