Find a jobRecruiters

Decisioning Analytics Specialist

Exclusive opportunity

Onsite

Decisioning Analytics Specialist

CelcomDigi Berhad

Decisioning Analytics Specialist

Skills

SQL QueriesBig DataPythonData ScienceRData AnalysisMachine LearningTalent AcquisitionSAP SuccessFactors

1 month ago

Share this opportunity

Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.

Important information


Contract type:

Permanent

Location:

Petaling Jaya, Selangor, Malaysia

Work mode:

Onsite

Published on:

11 September 2026

What they need


.buttontext3c4de5e0d1455ca0 a{ border: 1px solid transparent; } .buttontext3c4de5e0d1455ca0 a: focus{ border: 1px dashed #009bdf !important; outline: none !important; }

We are now ONE! #CelcomDigi Celcom and Digi have merged with the aim to create Malaysia’s most inspiring telco-tech company, building on two well-loved brands with over six decades of combined strengths in innovation and connecting Malaysians.

Decisioning Analytics Specialist

Date: 11 Sept 2026

Custom Field 2: 15177

Employment Type: Permanent

City: CelcomDigi Tower, Petaling Jay

Description:
Job Description

As a Data Scientist, you will play a key role in delivering high-impact analytics and machine learning solutions at scale for a leading telecom operator. You’ll work on complex, real-world problems, influence business decisions, and help shape how advanced analytics is embedded across the organisation. This role offers hands-on ownership, exposure to senior stakeholders, and the opportunity to grow into broader technical or leadership responsibilities.

Responsibilities

Lead the development and delivery of advanced analytics and machine learning models to address key business opportunities and gaps.

Partner with business stakeholders with minimal supervision, clearly communicating insights, assumptions, and model outcomes.

Collaborate with peers across data science, engineering, and analytics teams on cross-functional problem solving.

Continuously enhance models through feature engineering, new data sources, and experimentation to improve business performance.

Contribute to setting best practices, standards, and re-usable assets across the data science team.

Translate ambiguous business problems into well-structured analytical approaches and recommend appropriate modelling techniques.

Requirements

Bachelor’s degree in Data Science, Actuarial Science, Mathematics, Statistics, Computer Science, or related fields.

Strong, demonstrable experience delivering analytics and machine learning projects end-to-end.

Experience in the telecommunications industry is an advantage but not mandatory.

Hands-on experience with Python, SQL, R (or equivalent) and big data / distributed processing tools (e.g. Spark).

Working knowledge of machine learning algorithms and classifiers.

Strong communication, presentation, and analytical skills, with the ability to influence non-technical stakeholders.

Business Unit: CONSUMER BUSINESS

Job Description

As a Data Scientist, you will play a key role in delivering high-impact analytics and machine learning solutions at scale for a leading telecom operator. You’ll work on complex, real-world problems, influence business decisions, and help shape how advanced analytics is embedded across the organisation. This role offers hands-on ownership, exposure to senior stakeholders, and the opportunity to grow into broader technical or leadership responsibilities.

Responsibilities

Lead the development and delivery of advanced analytics and machine learning models to address key business opportunities and gaps.

Partner with business stakeholders with minimal supervision, clearly communicating insights, assumptions, and model outcomes.

Collaborate with peers across data science, engineering, and analytics teams on cross-functional problem solving.

Continuously enhance models through feature engineering, new data sources, and experimentation to improve business performance.

Contribute to setting best practices, standards, and re-usable assets across the data science team.

Translate ambiguous business problems into well-structured analytical approaches and recommend appropriate modelling techniques.

Requirements

Bachelor’s degree in Data Science, Actuarial Science, Mathematics, Statistics, Computer Science, or related fields.

Strong, demonstrable experience delivering analytics and machine learning projects end-to-end.

Experience in the telecommunications industry is an advantage but not mandatory.

Hands-on experience with Python, SQL, R (or equivalent) and big data / distributed processing tools (e.g. Spark).

Working knowledge of machine learning algorithms and classifiers.

Strong communication, presentation, and analytical skills, with the ability to influence non-technical stakeholders.

.googlejobmap9c0df1703c0e610d div.mapcontainer iframe,.googlejobmap9c0df1703c0e610d div.mapcontainer{min-height: 300px;}

.mapcontainer { position: relative; min-height: 400px; padding-top: 0px; overflow: hidden; border: 0px; } .mapcontainer iframe { position: absolute; top: 0; left: 0; min-height: 400px; width: 1px; min-width: 100%; *width: 100%; } @media (max-width: 767px) { .mapcontainer { min-height: 300px; } .mapcontainer iframe { min-height: 300px; width: 100%; *width: 100%; } } .map-hidden-content a { position: absolute; left: -9999px; z-index: 999; padding: 1em; background-color: black; opacity: 0; } .map-hidden-content a,.map-hidden-content a: focus,.map-hidden-content .map-hidden-content a: focus { left: 50%; transform: translateX(-50%); opacity: 1; }

Screen readers cannot read the following searchable map.

Follow this link to reach our Job Search page to search for available jobs in a more accessible format.

.buttontextad56b0307305296d a{ border: 1px solid transparent; } .buttontextad56b0307305296d a: focus{ border: 1px dashed #009bdf !important; outline: none !important; }

Next Steps

Next Steps

Thank you for taking the first step towards joining our team at CelcomDigi! After submitting your application, our Talent Acquisition team will review your CV and reach out to shortlisted candidates to guide you through the next steps, including a pre-screening conversation, interviews and or assessments.

At CelcomDigi, we aspire to be Malaysia’s leading telco-tech company — the nation’s digital growth engine — powering transformation through 5G, AI, and innovation that impacts over 20 million customers. Here, your role goes beyond work. It’s about enabling businesses to thrive, connecting communities, and advancing society, as we build a brand rooted in trust, reliability and customer excellence. Aligned with our employer value proposition, Grow with Purpose. Build with Trust, you’ll have the opportunity to innovate responsibly and create digital solutions that truly make a difference. If you're driven, future focused, and ready to be part of something bigger, we want you on our team.

Let’s advance and inspire Malaysia together! #WeAreCelcomDigi

Follow CelcomDigi on LinkedIn and vote for us as Malaysia’s Most Preferred Employer at the GRADUAN Brand Awards.

CelcomDigi is an equal opportunity employer, and committed to promote employment practices that are transparent, objective and fair.

Job Segment: Analytics, Telecom, Telecommunications, Computer Science, Engineer, Management, Technology, Engineering

Other offers great for you!

These companies are also looking for great profiles

Yunik

Data Scientist Senior – Marketing Analytics & Attribution

Freelance

Paris, France

Hybrid

Skills

PythonData ScienceMachine LearningMarketing AnalyticsAttribution Multi-Touch (MTA)SQLPiano Analytics

5 days ago

Quick apply

Espace Freelance

Consultant Customer Analytics -

Freelance

Paris, France

Hybrid

Skills

SQL QueriesPythonDatabricksA/B TestingStatistical analysisROI modelingNPS analysisCustomer analytics

4 days ago

Quick apply

Raedy

Consultant Data Analytics Senior

Freelance

Paris, France

Hybrid

Skills

MySQLSnowflakeData AnalysisdbtPower BI

3 days ago

Quick apply

The best place to find your next move

© 2026. All Rights Reserved.

Talents

Find a job

Create a profile

Solutions and tools