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Date:  14 Oct 2026
Job Req. ID:  2711

Job Title:  Data Scientist

Location: 

Bandar Seri Begawan , Brunei-M, Brunei Darussalam

Job Summary

 

DST is seeking a Data Scientist to build predictive models, scalable data solutions, and advanced analytics that drive core business strategy and customer experience. Harnessing rich datasets across digital, product, and operational channels, this role translates complex statistical findings into clear, measurable outcomes that elevate performance across the organization. 

Key Responsibilities

 

  • Advanced Analytics & Machine Learning

    • Analyse complex datasets using statistical, predictive, and machine learning techniques to identify trends and actionable business insights

    • Design, develop, evaluate, and deploy predictive models and machine learning algorithms for segmentation, forecasting, recommendations, propensity modelling, and churn prediction

    • Predictive & Prescriptive Modeling: Build, validate, and maintain machine learning models for customer churn, cross-sell/upsell propensity, customer lifetime value (LTV), and credit/payment risk.

 

  • Customer & Business Insights

    • Analyse customer, behavioural, transactional, and digital data to understand customer engagement, retention, and lifetime value

    • Translate complex business challenges and analytical findings into clear insights, visualisations, and actionable recommendations to support decision-making

 

  • Data Engineering & Governance

    • Source, integrate, transform, and profile datasets while maintaining high standards of data quality, validation, and feature preparation

    • Ensure all data science practices adhere to data privacy, security, governance, model risk management, and responsible AI guidelines

 

  • Stakeholder Collaboration & Innovation

    • Collaborate with cross-functional teams including Data, Tech, Product, and Business units to embed analytics into operational processes and digital products

    • Explore emerging AI/ML technologies, data sources, and methodologies through proof-of-concepts to continuously enhance organizational data capabilities

Skills & Competencies

 

  • Data Science & Analytics: Statistical Modelling, Machine Learning & Predictive Analytics, Exploratory Data Analysis, Feature Engineering, Forecasting, Segmentation, Data Visualisation & Storytelling

  • Technology & Tools: Python/R, SQL, Machine Learning Frameworks, Data Processing & Analytics Platforms, Cloud Data & AI Technologies, Version Control

  • Business & Domain: Business Problem Solving, Customer & Behavioural Analytics, Commercial & Operational Acumen, Data-Driven Decision Making, Digital & Telecommunications Analytics

  • Professional Skills: Structured & Analytical Thinking, Communication & Presentation, Stakeholder Management, Cross-Functional Collaboration, Agile Ways of Working, Continuous Learning

  • Languages & Core Tech: Python (Pandas, Scikit-learn, PyTorch/TensorFlow), SQL (advanced querying, window functions), Git/version control.

  • Data & Cloud Environment: Experience with Cloud Data Warehouses (Snowflake, BigQuery, AWS/Azure), ETL/ELT orchestration tools (Airflow, dbt), and BI tools (Power BI, Tableau).

  • Domain Context: Prior exposure to Telecommunications (CDR analysis, mobile/fixed broadband metrics) or Fintech/Digital Wallets (transaction analytics, anomaly detection).

Relevant Experiences & Qualifications

 

  • Education: 

    • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Engineering, or a related discipline.

     

 

  • Experience:

    • Relevant professional experience in data science, machine learning, advanced analytics, business analytics, or a related field

    • Experience developing and deploying statistical or machine learning models is preferred

    • Strong proficiency in Python and SQL, with knowledge of relevant data science and machine learning libraries

Closing Date

 

  • Thursday 29th October 2026, 5pm

Apply now »