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 identify continuous improvement areas.
Qualifications:
- Bachelor or Master’s degree in Computer Science, Math, Data Analytics, Data Science/Artificial Intelligence or Machine Learning with at least 5 years of hands-on development experience
- Hands on experience in analytics project and AI/ML model developments and deployment.
- Experience in handling large volume of datasets.
- Competent in machine learning principles and techniques.
- Analytical methods: statistical modeling (e.g. linear regression, time series), supervised machine learning (e.g., random forests, neural networks), design of experiments, segmentation/ clustering, text mining, NLP.
- Proficiency in Python, PySpark and analytics skillsets.
- Experience in programming, shell script and UNIX commands.
- EDA in using Jupyter or Zeppelin Notebook.
- Good interpersonal skills
- Highly self-driven, demonstrate critical thinking, team player & fast learner
- Outstanding supervision and mentorship abilities.
- Good technical writing skills
We are an equal opportunities employer and welcome applications from all qualified candidates.
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