Senior Data Scientist, Marketing AI #AIDA

Singtel Group; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Singtel is seeking a Senior Data Scientist for the AI & Data Analytics (AIDA) unit. You will drive insights, develop predictive models for customer journeys, and collaborate with internal and external partners to scale AI across telco products.

As a senior contributor, you’ll mentor juniors, ensure governance and explainability, and champion data-driven decision making across Marketing, Product, and Sales teams.

Qualifications

• Bachelor’s degree or higher in computer science, mathematics, statistics, or a related field with at least 3 years of experience.
• Experience in Telecom or Insurance analytics is advantageous.
• Deep technical data science expertise across ML, LLMs, and lifecycle tooling.

Responsibilities

• Lead Data Science initiatives for Marketing AI and product offerings with stakeholders.
• Design, build, and productionize predictive models for customer journeys and campaigns.
• Collaborate with internal and external partners to co-create AI/ML solutions.
• Mentor junior data scientists and enforce code quality through reviews.
• Communicate insights clearly to technical and leadership audiences.

Skills

Machine Learning

Statistical Modelling

Time Series Forecasting

Experimentation

LLMs & Generative AI

Python

SQL

Spark

Data Visualization

Model Governance

Education

Bachelor's or higher in CS/Math/Stats

Tools

Spark

Hadoop/Hive

Databricks

GitHub/GitLab/Bitbucket

Power BI

Azure/AWS/GCP

Job description

Senior Data Scientist, Marketing AI #AIDA

To lead the next phase of our AI evolution, we’ve 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. 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.

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.