Gen AI Data Scientist

Income Insurance Limited; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading insurance provider in Singapore is seeking a GEN AI Data Scientist to take ownership of AI/ML use cases and design solutions to enhance operational efficiency. The ideal candidate will have 3–5 years of experience in data science, particularly with AWS, and a Bachelor’s degree in computer science. Responsibilities include stakeholder management, technical documentation, and fostering improvements in AI/ML models. Join a growth-oriented team focused on innovative technology in the financial sector.

Qualifications

• 3–5 years of experience in a data science role, particularly with the AWS platform.
• Hands-on experience with deploying solutions using foundation models.
• In-depth knowledge of supervised and unsupervised ML models.

Responsibilities

• Own AI/ML use cases from design to implementation.
• Collaborate with stakeholders to translate needs into technical requirements.
• Maintain documentation of dataset curation and modeling approaches.

Skills

Experience in data science

Expertise in AWS

Proficiency in SQL

Proficiency in Python

Proficiency in Spark

Prompt Engineering

Model deployment using APIs

MLOps practices

Familiarity with Document Chunking techniques

Education

Bachelor’s degree in computer science or equivalent

Tools

AWS Bedrock

Microsoft Copilot Studio

Data Warehouses (Redshift, Hive, S3)

Job description

GEN AI Data Scientist – Data Analytics

Responsibilities

• Take ownership of AI/ML use cases, from design and implementation to continuous enhancement.
• Act as a technical specialist in AI, primarily focusing on Generative AI. Design and develop solutions to address various business challenges, particularly those related to optimizing operational efficiency.
• Collaborate with other data engineers, analysts, data scientists, product specialists, and stakeholders to build well-crafted, pragmatic, and robust solutions that meet business requirements.
• Stakeholder management and engagement: proactively engage with stakeholders to understand their needs and translate them into technical requirements for AI/ML modeling.
• Maintain documentation of dataset curation, modeling approach, model performance, code changes, and workflows.
• Demonstrate a strong understanding of data privacy regulations such as PDPA, and AI governance guidelines to ensure compliance.
• Foster an innovative and growth-oriented mindset, continuously seeking opportunities to enhance AI/ML models and drive improvements across the organization.

Requirements

• 3–5 years of experience in a data science role, with demonstrable expertise in the AWS platform. Experience with Microsoft Copilot Studio is a plus.
• Bachelor’s degree in computer science or equivalent.
• Familiarity with techniques for Document Chunking, Embedding, and Information Retrieval for improving model accuracy and relevance.
• Expertise in Prompt Engineering for designing and managing effective prompts.
• Hands‑on experience with AWS Bedrock, including deploying solutions using foundation models and integrating them into scalable applications using APIs and orchestration tools.
• Experience in Agentic Workflow for maximizing the utility of models, including understanding user intent and context to drive meaningful interactions.
• In‑depth knowledge of supervised and unsupervised ML models – linear & logistic regression, clustering, tree‑based models like random forest, bagging, and boosting models.
• Proficient in SQL, Python, and Spark.
• Proven experience in implementing MLOps practices on AWS.
• Familiar with Data Warehouses such as Redshift, Hive, and S3.
• Passionate about technology and always looking to upskill based on new developments in the AI space.
• AWS or Microsoft certifications will be a plus.
• Experience in the financial industry, telecommunications, or consulting is preferred