Manager, Data Scientist

Life at U Mobile

We are Passionate, Innovative, Trustworthy, Team-Oriented & Fun-Loving.

At U Mobile, we are always on the lookout for great talents and passionate individuals to join our growing team.

Let's start your journey with an award-winning organization!

#UnbeatableCareerAwaits

Top Reasons To Join Us!

• Awarded For
• Most Preferred Employers in Telecommunication Industry (2022, 2023 & 2024)
• Bronze Winner in Cross-Generational Workforce Engagement (2024)
• Gold Winner for Excellence in Workplace Culture (2021)
• Comprehensive medical, dental, optical and insurance benefits
• Flexi working hours arrangements
• Staff Line & Device Subsidy
• Smart Casual Attire
• Child Parental Care Leave
• Convenient location with access to public transport (Imbi Monorail/Bukit Bintang MRT)
• Special employee discounts for selected F&B Brands
  
  

The Day-To-Day Activities

• Lead end-to-end machine learning and rule-based personalization solutions including targeting, pricing, and recommendation use cases to drive customer engagement and revenue growth.
• Develop and manage modelling data strategies, training datasets, feature tables, and data governance to ensure scalable, accurate, and reusable data foundations.
• Oversee the development, optimization, and operationalization of machine learning models and decision rules for business-as-usual personalization and campaign execution.
• Drive targeting strategies and commercial optimization by translating model outputs into effective offers, pricing strategies, and campaign decisions to maximize take-up and ARPU.
• Monitor and govern model performance, targeting effectiveness, and revenue uplift while providing insights and recommendations to support business and investment decisions.
  
  

About You

• Bachelor's or Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative fields, with relevant analytics experience considered as an added advantage.
• Minimum 8 years of experience in data analytics, data science, or machine learning within commercial or production environments.
• Strong expertise in SQL, Python, large-scale data analysis, feature engineering, predictive modelling, and decisioning logic development.
• Experience in model validation, deployment, performance monitoring, uplift analysis, and improving model scalability and stability for business use cases.
• Strong commercial acumen, communication, and leadership skills with the ability to work across cross-functional teams and explain technical insights to non-technical stakeholders.
  
  

What's Next Once you have applied online, our team will review your application and due to a high volume of applications, only shortlisted candidates will be notified.