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
    o Most Preferred Employers in Telecommunication Industry (2022, 2023 & 2024)
    o Bronze Winner in Cross-Generational Workforce Engagement (2024)
    o 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

Role


The Day-To-Day Activities
DSCVM - Data Science Trainee
• Assist in developing and improving data science models and analytics solutions.
• Support exploratory data analysis (EDA), feature engineering, and model evaluation activities.
• Help automate data pipelines and model deployment processes.
• Ensure data quality and reproducibility in experiments and reporting.
• Document data science workflows, model assumptions, and key findings.

About You
• Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field (in progress).
• Minimum CGPA : 3.2
• Experience with data analysis using Excel, including Pivot Tables.
• Familiarity with data visualization tools such as Power BI, Tableau, or similar is preferred.
• Knowledge of databases and SQL languages such as PostgreSQL, MySQL, or MSSQL is preferred.
• Programming experience in Python (e.g., pandas, numpy, scikit-learn).
• Understanding of basic machine learning concepts is a plus.
• Must possess strong team spirit, positive attitude, excellent interpersonal skills, communication skills, and eagerness to learn.
• Must comply with company policies and Personal Identifiable Information (PII) regulations.


#LI-PZ1

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.

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