Intern, New Business

1 week ago

Singapore Singapore Life Ltd. Full time

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**, leveraging**innovative 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.

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