Senior Data Scientist — AI, Personalization & ML Ops

HKT; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

HKT’s Data Monetisation Team is seeking a Data Scientist / Senior Data Scientist to drive end-to-end AI and analytics initiatives—from problem framing to deploying scalable ML/AI solutions.

Candidates with deep expertise in at least one area (Business Strategy & Analytics, LLM/GenAI, RL, or MLOps) are invited to apply. Lead or contribute to productionized data products in a fast-paced environment.

Qualifications

• Bachelor’s or advanced degree in Machine Learning, Data Science, CS, Statistics, Mathematics, Economics, or related field.
• 3–5+ years of experience in data science, machine learning, or advanced analytics (candidates with more experience may be considered for Senior level).
• Demonstrated expertise in at least one of the following domains: Business Strategy & Analytics, Reinforcement Learning / Personalization, or MLOps.
• Strong proficiency in Python and SQL.

Responsibilities

• Lead or contribute to data science initiatives aligned with your area of expertise (e.g., business analytics, LLM/GenAI, RL, or MLOps).
• Collaborate with stakeholders to understand business problems and translate them into analytical approaches, models, and measurable KPIs.
• Perform deep-dive data analysis to uncover trends, patterns, customer behaviors, and business opportunities across digital channels and product journeys.
• Translate analytical findings into clear, actionable insights and strategic recommendations.
• Design, build, and optimize machine learning and AI solutions based on your specialization.

Skills

Python

SQL

Statistics & Experimentation

Communication skills

Education

Master’s or PhD in Machine Learning / Data Science / CS / Statistics

Tools

AWS

GCP

Azure

Jupyter Notebook

Job description

HKT’s Data Monetisation Team is seeking a Data Scientist / Senior Data Scientist to drive end-to-end AI and analytics initiatives—from problem framing to deploying scalable ML/AI solutions.

Candidates with deep expertise in at least one area (Business Strategy & Analytics, LLM/GenAI, RL, or MLOps) are invited to apply. Lead or contribute to productionized data products in a fast-paced environment.