Data Scientist

COGNIZANT TECHNOLOGY SOLUTIONS ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

Cognizant Technology Solutions Asia Pacific PTE. LTD. is seeking a Data Scientist to develop AI-powered products across investment promotion, industry development, and corporate functions.

You will partner with stakeholders to translate requirements into technical solutions and deliver measurable outcomes using Generative AI and ML. Responsibilities include data wrangling, model maintenance, API/backend development, and frontend interfaces for AI-driven applications.

Qualifications

• Bachelor's degree in Computer Science/Engineering/ML/AI or related fields.
• Able to apply AI/ML techniques for regression and classification.
• Experience with Python data-science stack (pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy).
• Understanding of LLM concepts and architectures (RAG, embeddings).
• Experience with context engineering and prompt optimization strategies.
• Proficient in git and SQL; proficient in BI tools (Tableau, Qlik, Power BI, MicroStrategy).

Responsibilities

• Collaborating with business users to understand priorities and use cases; propose and develop solutions using data science/Generative AI to drive value.
• Researching AI/data-science techniques and identifying relevant ones for EDB to explore and adopt (Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation).
• Data wrangling & analysis - preprocessing, cleaning and feature engineering.
• Supporting 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.

Skills

AI/ML techniques

Python packages

LLM concepts

Context engineering

Prompt optimization

Git

SQL

BI tools

Dash/API development

Web frameworks

NLP tools

Education

Bachelor's Degree in Computer Science/Computer Engineering/Machine Learning/Data Science/AI or related disciplines

Tools

Docker/Kubernetes

FastAPI/Flask/Express.js

React/Vue.js/HTML/CSS/TypeScript

LangChain/LlamaIndex/Hugging Face Transformers

Pinecone/Chroma/FAISS

Job description

As a Data Scientist, you will use data science and Generative AI techniques to develop models and products that support 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)