Lead Data Scientist- #AIDA

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! 

• 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.

 

Make An Impact By

• 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 da