Life at U MobileWe 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!#UnbeatableCareerAwaitsTop Reasons To Join Us! Awarded ForMost 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 BrandsRoleThe Day-To-Day ActivitiesDSCVM - 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. 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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