Data Scientist

ITCAN PTE. LIMITED; Singapore; On-site; SGD 70,000 - 110,000; Full time

Benefits offered by this job

Flexible work arrangement

Career growth opportunities

Job summary

ITCAN PTE. LIMITED is seeking a Data Scientist (Associate Consultant) to apply data science and Generative AI to develop models and products for EDB divisions. You will partner with stakeholders to translate business needs into technical solutions.

Responsibilities include data wrangling, model deployment, API and frontend development for AI-powered apps, documenting changes, and addressing security fixes in collaboration with cross-functional teams.

Qualifications

• Bachelor’s degree in a relevant field required.
• Experience with regression and classification techniques.
• Strong Python and data analysis skills.
• Understanding of LLM concepts and prompts.

Responsibilities

• Develop data science models and AI/ML products for multiple EDB divisions.
• Collaborate with stakeholders to translate business needs into technical solutions.
• Wrangle data, feature engineering, and model evaluation.
• Build APIs and frontend interfaces for AI-powered apps.
• Document changes and monitor security vulnerabilities.

Skills

Python

Machine Learning

Data Analysis

Big Data

Problem Solving

Education

Bachelor's degree in Computer Science / Computer Engineering / Data Science / AI

Tools

pandas

scikit-learn

SQL

Tableau

Docker

Job description

Data Scientist

JOB DESCRIPTION

As a Data Scientist (Associate Consultant), you will use data science and Generative AI techniques to develop models and products that support a range of EDB divisions across investment promotion, industry development and corporate functions. You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate requirements into technical solutions, and deliver AI and Machine Learning products that drive measurable outcomes.

Your roles and responsibilities include:

• Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
• Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
• Data wrangling & analysis - preprocessing, cleaning and feature engineering
• Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots
• Developing backend APIs and services to support AI model deployment and integration
• Building frontend interfaces and user experiences for AI-powered applications
• Documenting changes to existing products
• Reviewing and implementing fixes for reported security vulnerabilities;

JOB REQUIREMENTS

To perform this role, you must have/ be:

• Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
• Able to understand and apply a range of AI/ML techniques for regression and classification
• Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )
• Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
• Experience with context engineering techniques and prompt optimization strategies
• Proficient in git, SQL
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)

Bonus skillsets which will allow you to excel in this role include:

• Proficient in modern programming languages (e.g. typescript, C#)
• Experience in cloud platform and services preferably in AWS
• Experience in Docker/Kubernetes
• Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)
• Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS)
• Understanding of AI agent frameworks and multi-agent systems
• Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience
• Proficient in statistical software tools (e.g. R, SAS)