Senior Data Scientist

Powering the Future with 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, you will play 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—enabling data-driven strategies that uncover new customer insights, optimize operations, and unlock new revenue streams.

You will also lead AI initiatives to personalize and scale telco products and services, developing predictive models for customer eligibility, purchase propensity, and cross-sell optimization while collaborating with stakeholders and partners to co-create impactful solutions.

Make an Impact by:

Key Responsibilities and Results

• Lead data science initiatives supporting Singtel's offerings by partnering with Marketing, Product, and external stakeholders; define problem statements and architect end-to-end AI/ML solutions, including Generative AI and LLMs.
• Design, build, and productionize analytical models for intelligent decisioning within customer journeys; integrate models into decision engines while ensuring governance, scalability, and performance monitoring.
• Analyze customer behaviour across Mobile, Broadband, and entertainment services to generate actionable insights on lifecycle, segmentation, and targeting strategies.
• Drive data exploration, experimentation, and optimization through A/B testing, uplift modelling, and campaign analytics.
• Provide technical mentorship to junior data scientists and uphold high standards in code quality and best practices.
• Communicate complex analytical insights clearly to both technical and non-technical stakeholders, including senior leadership.

Major Challenges / Typical Problems Encountered

• Apply strategic and innovative thinking to continuously improve customer engagement and retention.
• Adapt quickly to a dynamic and competitive market environment with evolving business needs.
• Manage and influence multiple stakeholders while aligning cross-functional teams to achieve business outcomes.

Decision Making Authority

• Independently select technical approaches, methodologies, and prioritization of analytical use cases.
• Propose proof-of-concepts for emerging technologies such as Generative AI and LLMs.
• Escalate decisions involving major production changes, compliance, or security implications to higher authority.

Skills for Success:

Qualifications & Experience

• Bachelor's or Postgraduate degree in Computer Science, Mathematics, Statistics, or related field, with at least 3 years of relevant experience.
• Experience in telecom or insurance analytics is advantageous.

Technical / Professional Skills

• Strong expertise in machine learning and statistical modelling (e.g., regression, time series, clustering, causal inference, neural networks).
• Experience with Generative AI and LLMs, including fine-tuning, prompt engineering, and evaluation.
• Proficiency in data tools and platforms such as SQL, Python, Spark, Hadoop/Hive, Databricks, and Power BI.
• Familiarity with software engineering best practices and version control (GitHub, GitLab, Bitbucket).
• Exposure to cloud platforms (AWS, Azure, GCP) and ML lifecycle tools (MLflow, Airflow) is a plus.

Non-Technical / Soft Skills

• Strong analytical and problem-solving capabilities with a business-first mindset.
• Collaborative team player with a strong customer focus.
• Excellent communication and data storytelling skills.
• Ability to mentor and guide junior team members.

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!