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Urgent! Intern, New Business (Summer Internship 2026) Job Opening In Singapore, Singapore – Now Hiring Darwinbox

Intern, New Business (Summer Internship 2026)



Job description

Singapore, Singapore, Singapore (4 Shenton Way, SGX Center 2)

Department

Process Automation Team, New Business

Job posted on

Sep 04, 2025

Employee Type

Permanent - Full Time

Experience range (Years)

0 - 0

About the Team:

New Business Process Automation team dedicated to driving operational excellence through the implementation of automated systems and intelligent workflows, leveraginginnovative solutions and emerging technologies.

We specialize in conducting gap analyses and reviewing end-to-end business process flows to identify opportunities for efficiency gains, cost reduction, and digital adoption.

By aligning AI and automation strategies with business goals, we enable scalable transformation and empower teams to focus on high-value work.

Focus of the Internship:

We are seeking a forward-thinking and technically skilled professional to lead initiatives in Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics.

This role will be instrumental in transforming business processes, driving automation, and enabling data-driven decision-making across the organization.

Key Responsibilities:

  • Design and implement AI/ML models to optimize workflows and enhance operational efficiency.

  • Conduct data mining, statistical analysis, and predictive modeling to uncover insights and trends.

  • Collaborate with cross-functional teams to identify automation opportunities and develop intelligent solutions.

  • Build and maintain scalable data pipelines and dashboards for real-time analytics.

  • Evaluate and integrate emerging technologies to support digital transformation.

  • Ensure data governance, privacy, and compliance with regulatory standards.

Key Learnings:

Technical Skills:

  • Data Analysis & Visualization: Using tools like Excel, Power BI, or Python (Pandas, Matplotlib) to interpret and present data.

  • Machine Learning Basics: Understanding model types (classification, regression), training workflows, and evaluation metrics.

  • AI Concepts: Exposure to natural language processing (NLP), computer vision, or recommendation systems depending on project scope.

  • Automation Tools: Learning platforms like BluePrism, Power Automate, or scripting for workflow automation.

  • Cloud & Data Platforms: Introduction to Azure, AWS, or GCP for data storage, processing, and model deployment.

Project Experience:

  • Gap Analysis: Assisting in identifying inefficiencies in current processes and proposing data-driven improvements.

  • Process Mapping: Documenting workflows and helping redesign them for automation.

  • Model Testing & Validation: Supporting the team in testing AI/ML models and interpreting results.

  • Dashboard Creation: Building or updating dashboards to track KPIs and performance metrics.

Education & Experience Requirements:

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.

  • Proven experience in AI/ML model development and deployment.

  • Strong proficiency in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau).

  • Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and MLOps practices.

  • Excellent problem-solving, communication, and stakeholder engagement skills.


Required Skill Profession

Other General



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