[CONTRACT FOR SERVICE] Senior Consultant (Data Scientist)

Company: Sarawak Energy Berhad; Sarawak; On-site; MYR 120,000 - 180,000; Full time

Job summary

A leading energy firm in Sarawak is seeking an experienced Data Scientist to lead end-to-end data science projects. This role requires designing advanced machine learning models and translating business questions into structured analytical problems. Candidates should have a Master’s or PhD in relevant fields and significant experience in data science. The ideal candidate will have strong technical skills in Python, R, and cloud services, along with excellent communication and stakeholder management capabilities. The position is offered on Contract for Service terms.

Qualifications

• 5-8+ years in data science or advanced analytics roles.
• Strong understanding of business processes and ability to apply analytics.

Responsibilities

• Lead end-to-end data science projects.
• Design and implement advanced machine learning models.
• Define project objectives and KPIs.

Skills

Expertise in Python

Expertise in R

SQL

Big data platforms (Spark, Hadoop)

Cloud services (AWS, Azure)

MLOps

Leadership

Stakeholder management

Excellent communication skills

Education

Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, or related field

Job description

Location: Malaysia (MY), Sarawak Energy (SEB)

Company: Sarawak Energy Berhad, Information and Communication Technology (50034035), Artificial Intelligence (50034337)

Number of Openings: 1

Job Category: Contract

Closing Date: 28 December 2025

Scope of Services

• Lead end-to-end data science projects (from problem framing to deployment).
• Design and implement advanced machine learning models and statistical techniques.
• Define project objectives, KPIs, and ensure alignment with business strategy.
• Oversee data governance, ethical AI practices, and MLOps for production systems.
• Mentor junior team members and foster knowledge sharing.
• Communicate insights and influence strategic decisions with stakeholders.

Thinking Environment & Challenges (Problem-Solving)

• Translating ambiguous business questions into structured analytical problems.
• Balancing model accuracy with interpretability and compliance requirements.
• Managing scalability and performance of models in production environments.
• Handling incomplete or biased datasets while ensuring fairness.
• Driving innovation under resource and time constraints.
• Anticipating future data needs and aligning with organizational goals.

Qualifications

• Education: Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Experience: 5–8+ years in data science or advanced analytics roles.
• Technical Skills: Expertise in Python/R, SQL, big data platforms (Spark, Hadoop), cloud services (AWS, Azure), and MLOps.
• Domain Knowledge: Strong understanding of business processes and ability to apply analytics to solve strategic problems.
• Soft Skills: Leadership, stakeholder management, and excellent communication skills.

This position is offered on Contract for Service terms & conditions.