Data Scientist

SINGAPORE TELECOMMUNICATIONS LIMITED; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading telecommunications company in Singapore is seeking a proactive Senior Data Scientist to own and enhance strategic AI-driven systems. This role focuses on improving recommendation engines and conversational AI with a strong emphasis on personalization and automation. The successful candidate will have 5-8 years of experience in AI and Data Engineering, as well as a relevant Bachelor's or Master's degree. Join us to drive impactful AI solutions in a collaborative environment.

Qualifications

• 5-8 years in related fields.
• Good to have professional qualifications in Cloud, AI Engineering or similar.

Responsibilities

• Own and enhance two strategic AI-driven systems.
• Maintain and enhance enterprise recommender and conversational AI systems.
• Build robust data pipelines and maintain Vector Knowledge stores.

Skills

AI Engineering

Data Engineering

Software Development

Experience with Spark

SQL

Statistical Analysis

Education

Bachelor's/Master's in Computer Science, Statistics, Data Science or related

Tools

Azure Databricks

PostgreSQL

Job description

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