Manager, Data Scientist

U Mobile; Kuala Lumpur; On-site; MYR 75,000 - 105,000; Full time

Benefits offered by this job

Comprehensive medical, dental, optical benefits

Flexi working hours

Staff Line & Device Subsidy

Child Parental Care Leave

Employee discounts for selected F&B Brands

Job summary

A leading telecommunications company in Kuala Lumpur seeks a Data Scientist to lead machine learning initiatives and ensure data-driven decision making. The ideal candidate will possess at least 3 years of experience in data analytics and a solid background in SQL and Python. This role includes developing models and governance frameworks to optimize performance and drive revenue. Excellent communication skills are necessary as the role involves collaboration with cross-functional teams. This position offers comprehensive benefits and a flexible working environment.

Qualifications

• Minimum 3 years of experience in data analytics, data science, or applied machine learning.
• Strong practical experience using Python for data analysis, feature engineering, and model development.
• Proven ability to evaluate, improve, and scale modelling approaches.

Responsibilities

• Lead the end-to-end lifecycle of machine learning and rule-based decisioning solutions.
• Define and govern training datasets, ensuring modelling data accuracy.
• Oversee the development and enhancement of machine learning models.

Skills

Data analysis

Machine learning

SQL

Python

Communication

Leadership

Education

Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science

Job description

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 Personalization, Targeting & Decisioning Use Cases
  • Lead and be accountable for the end-to-end lifecycle of machine learning and rule-based decisioning solutions for personalization, including targeting, pricing, and recommendations across products.
  • Set the strategic direction by translating business objectives into modelling and targeting strategies, success metrics, and a prioritized delivery roadmap.
  • Own commercial outcomes, ensuring initiatives deliver measurable take-up, ARPU uplift, and revenue growth.
• Own Modelling Data Strategy & Training Dataset Layer
  • Define and govern training datasets, feature tables, and labels to ensure long-term scalability and reuse.
  • Establish data standards and controls to ensure modelling data accuracy and alignment with business definitions.
  • Continuously evolve the modelling data foundation to enable new use cases, improved performance, and faster deployment.
• Build, Enhance & Operationalise Models and Decision Rules
  • Oversee the development and enhancement of machine learning models and rule-based decisioning for targeting, pricing, and recommendations.
  • Drive continuous optimisation of model performance to maximise business impact.
  • Ensure operational readiness, scalability, and stability of models for BAU personalization and campaign execution.
• Drive Targeting Strategy & Commercial Optimisation
  • Act as the key decision partner to Product and Business Analytics in designing and optimising targeting strategies using model outputs.
  • Define decision frameworks on how scores, rules, and segments translate into offers, pricing, and campaign logic.
  • Continuously refine targeting strategies to maximise take-up, ARPU, and revenue impact.
• Own Performance Measurement, Uplift & Governance
  • Define and own governance frameworks to measure model and targeting performance, including take-up, ARPU, and revenue uplift.
  • Lead monitoring and intervention on model stability, performance drift, and targeting effectiveness against control or baseline.
  • Provide performance insights and recommendations to senior stakeholders to guide optimisation and investment decisions.

About You

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative fields.
• Relevant professional experience with demonstrated depth in applied analytics and decisioning may be considered in lieu of formal academic specialisation.
• Minimum 3 years of experience in data analytics, data science, or applied machine learning within a commercial or production environment.
• Strong expertise in SQL and working with large-scale, complex datasets in production systems.
• Strong practical experience using Python (or similar) for data analysis, feature engineering, and model development.
• Demonstrated experience leading or overseeing the development, validation, and deployment of predictive models and decisioning logic.
• Proven ability to evaluate, improve, and scale modelling approaches to ensure robustness, stability, and long-term usability in business environments.
• Experience defining and governing performance measurement frameworks, including uplift analysis and outcome tracking.
• Strong commercial mindset, able to translate business objectives into effective analytics and decisioning strategies.
• Clear and influential communicator, able to explain complex technical topics to non-technical stakeholders.
• Leadership-oriented and structured, comfortable providing guidance and operating in a cross-functional environment.

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.