Senior Data Scientist

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”.

We are seeking a highly capable and hands-on Senior Data Scientist to own and evolve two of our most strategic AI-driven systems.

This role will be instrumental in maintaining and enhancing our recommendation engines and conversational AI systems, with a strong focus on personalization, automation, and Generative AI and Predictive AI integration.

Recommender System Ownership:

1. Maintain and enhance enterprise recommender, including clustering models, market basket models, price sensitivity, and product forecast models.
2. Maintain Contract Renewal Recommendation engine with updated rule-based logic and incorporating churn model scores to suggest fixed product renewals.
3. Monitor model performance, retrain/refresh pipelines, and ensure business alignment with upsell/cross-sell strategies.

Conversational AI & GenAI Integration:

1. Extend the capabilities of the AI chat platform by integrating state of the art GenAI modules for contextual understanding and personalized responses.
2. Enable real-time transactions via API orchestration and support omnichannel deployment across customer portals, Singtel.com, and WhatsApp.
3. Collaborate with frontend and backend teams to establish required system integrations to support AI context and Agentic actions.

Data Engineering & Feature Development:

1. Build and maintain robust data pipelines using Spark on Azure Databricks and orchestrate workflows via Databricks Workflows.
2. Pipe processed features into PostgreSQL databases using SQLAlchemy for seamless backend integration.
3. Maintain Vector Knowledge stores on Postgres or Azure AI Search, using organizational knowledge portals as the source of truth. Ensure data consistency and reusability across modules.

Operational Excellence:

1. Define and track KPIs such as recommendation accuracy, chatbot resolution rate, and conversion uplift.
2. Conduct A/B testing and experimentation to validate new features and integrations,.
3. Ensure compliance with Responsible AI practices, including human-in-the-loop validation and explainability

Cross-Functional Collaboration:

1. Partner with product managers, digital marketing, sales, and engineering teams to align AI solutions with business goals.
2. Translate business requirements into data science solutions and communicate insights to non-technical stakeholders.

Skills for Success:

• Computer Science, Statistics, Data Science or related Bachelors/Masters
• 5-8 years in related fields
• AI Engineering
• Data Engineering
• Software Development
• Good to have professional Qualifications in Cloud, AI Engineering or similar