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.
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.
Responsibilities:
- Translating business requirements into problem statements, design and implement solutions with analytics, machine learning, or state of the art AI technologies.
- Explore and build advanced capabilities for strategic initiatives such as anomaly detection, predictive maintenance, planning optimization, customer experience improvement, etc
- Analyse, uncover, and provide analytical insights with business intelligence tools in meeting business expectations and objective.
- Extensive experience as a data scientist and familiar with data engineering and machine learning engineering techniques. Ability to relay insights in layman's terms, which can be then used to inform business decisions.
- Lead and mentor a team of junior data scientists and promote capability growth within the team.
- Spearhead collaborations with external partners and working within the AIDA cross functional squad to deliver strong business impact.
- Lead in assessing and integrating AI/ML strategies with IT or other systems for our Networks AI/ML initiatives.
- Architect and drive solutions the new capabilities add on to the AI/ML platform as to cater the needed for Autonomous Networks use cases that uses AI/ML solution.
Key Responsibilities:
- Discover, Develop and deploy analytical projects (with or without AI & Machine Learning components) from the sizeable network data sets from Big Data Platform with Advanced Analytics tools.
- Develop machine learning models for predictive and prescriptive analytics (regression analysis, time series, probabilistic models, supervised classification, unsupervised learning, etc)
- Lead and monitor the performance of Junior Data Scientists and providing them with practical guidance, solution validation and implementation.
- Develop and deploy insight visualisation dashboards, analytics reports, Generative AI based information aggregations and conduct presentation to update to senior management on the outcome of the analytics/ML projects
- Train, build, validate, test, improve and fine-tune the models and algorithms. Selecting and employing advanced statistical procedures to obtain actionable insights.
- Build, maintain and improve the data cube model derived from telco datasets.
- Continuously optimize and explore the new technology through R&D and trial/PoC.
- Drive ML use cases within Networks domain and explore new use case and business opportunities such as 5G Use Cases, Anomalies detection.
- Responsible to review internal or external proposal such as vendor’s solution design to ensure technology appropriateness, solution efficacy and standards compliance related to analytic and, AI/ML solution.
- Collaborate with different stakeholders from business, technical, project management and operation to design and implement the solution. Capable in work with Waterfall or Agile project team.
- Adopt and implement the industry standards and best practice of analytics project methodologies such as CRISP-DM for data mining, or similar.
- Mentor and coach junior and mid-level data scientists to foster skills development and career progression within the team.
- Lead cross-functional analytics initiatives and drive alignment across business units to ensure the strategic application of data science.
- Evaluate and select advanced tools, frameworks, and methodologies to improve model accuracy, scalability, and deployment efficiency.
- Serve as a subject matter expert (SME) in AI/ML within the organization and represent the team in technical forums, external collaborations, and industry events.
- Proactively identify high-impact opportunities where AI/ML can deliver business value, and lead the design of innovative, data-driven solutions.
- Lead technical reviews and post-implementation assessments to measure project impact and i