Job Description
An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every "hello" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you are really empowered to say…“Hello BIG Possibilities”.
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!
- Translate business requirements into problem statements, design and implement solutions using analytics, machine learning, or state-of-the-art AI technologies.
- Explore and build advanced capabilities for strategic initiatives (e.g., anomaly detection, predictive maintenance, planning optimization, customer experience improvement, etc.).
- Analyze, uncover, and provide analytical insights with business intelligence tools to meet business expectations and objectives.
- Extensive experience as a data scientist, familiar with data engineering and machine learning engineering techniques. Ability to relay insights in layman's terms to inform business decisions.
- Support and contribute to cross-functional squads and collaborations with external partners to deliver strong business impact.
- Contribute to assessing and integrating AI/ML strategies with IT or other systems for AI/ML initiatives.
- Support the design and implementation of new capabilities for AI/ML platforms, especially for use cases requiring Generative AI.
- The role requires individual autonomy and the ability to see through projects independently.
Make an Impact by:
- Discover, develop, and deploy analytical projects (with or without AI & Machine Learning components) from sizeable data sets using advanced analytics tools.
- Develop machine learning models for predictive and prescriptive analytics (regression analysis, time series, probabilistic models, supervised classification, unsupervised learning, etc.).
- Support and contribute to solution validation and implementation, working closely with peers and stakeholders.
- Develop and deploy insight visualization dashboards, analytics reports, and Generative AI-based information aggregations; present outcomes to stakeholders.
- Train, build, validate, test, improve, and fine-tune models and algorithms. Select and employ advanced statistical procedures to obtain actionable insights.
- Build, maintain, and improve data models derived from various datasets.
- Continuously optimize and explore new technology through R&D and trial/PoC.
- Drive ML use cases and explore new use cases and business opportunities (domain experience such as Networks, Telco etc. is good to have).
- Review internal or external proposals (e.g., vendor solution design) to ensure technology appropriateness, solution efficacy, and standards compliance for analytic and AI/ML solutions.
- Collaborate with stakeholders from business, technical, project management, and operations to design and implement solutions. Capable of working in both Waterfall and Agile teams.
- Adopt and implement industry standards and best practices for analytics project methodologies (e.g., CRISP-DM for data mining, or similar).
- Support and contribute to the skills development of peers through knowledge sharing and collaboration.
- Contribute to cross-functional analytics initiatives and 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 technical contributor in AI/ML within the organization and represent the team in technical forums, external collaborations, and industry events as needed.
- Identify high-impact opportunities where AI/ML can deliver business value, and contribute to the design of innovative, data-driven solutions.
- Participate in technical reviews and post-implementation assessments to measure project impact and identify continuous improvement areas.
Skills for Success:
- Bachelor’s degree in Computer Science, Math, Data Analytics, Data Science/Artificial Intelligence, Machine Learning, or related field
- 5–8 years of hands-on experience in analytics projects and AI/ML model development and deployment; experience handling large 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 scripting, and UNIX commands
- EDA on novel datasets using standard data analysis tools (Jupyter, Databricks etc.)
- Generative AI (essential)
- Strong communication skills (technical and non-technical)
- Highly self-driven, critical thinking, team player, fast learner
- Project stakeholder management
- Good technical writing skills
- Excellent communication and presentation skills in English
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!
