Data Scientist

Data Scientist

Important Information

Location: Singapore

12 months contract

Job Summary

We are seeking a highly skilled and motivated Data Scientist / Senior Data Scientist to join our growing AI and Analytics team. The ideal candidate will have strong expertise in machine learning, deep learning, Generative AI, statistical modeling, and cloud-based MLOps. You will work on designing, developing, deploying, and optimizing AI-driven solutions that solve complex business problems while collaborating with cross-functional teams to deliver high-impact data products.

Key Responsibilities

• Design, develop, validate, and deploy machine learning and deep learning models for business applications.


• Build and maintain end-to-end AI/ML pipelines, from data acquisition and feature engineering to model deployment and monitoring.


• Develop Generative AI applications using Large Language Models (LLMs), embeddings, vector databases, and agentic AI frameworks.


• Implement AI solutions using frameworks such as LangChain, LangGraph, and other modern AI engineering tools.


• Apply advanced statistical modeling, optimization techniques, and multi-criteria decision analysis to solve complex business challenges.


• Develop transformer-based models, reinforcement learning solutions, and other state-of-the-art deep learning architectures where appropriate.


• Collaborate with data engineering teams to design and optimize ELT pipelines, data transformations, and scalable data architectures.


• Deploy and manage machine learning models on cloud platforms, preferably AWS, following MLOps best practices.


• Perform exploratory data analysis, hypothesis testing, feature engineering, and model evaluation.


• Create clear visualizations, dashboards, and presentations to communicate analytical findings to technical and business stakeholders.


• Ensure model governance, performance monitoring, and continuous improvement of deployed AI systems.


• Mentor junior team members and contribute to the adoption of AI and data science best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.


• Minimum 3 years of hands-on experience in Data Science with a reputable organization.


• Strong analytical and problem-solving skills with experience using structured frameworks such as MECE, Root Cause Analysis, and hypothesis-driven approaches.


• Proven experience in end-to-end machine learning model development, deployment, and monitoring using MLOps practices.


• Strong experience with cloud-based ML deployment, preferably on AWS.


• Deep understanding of machine learning, deep learning, optimization, statistical modeling, and predictive analytics.


• Hands-on experience with transformer models, reinforcement learning, and modern deep learning architectures.


• Strong experience in AI Engineering, including:
  
  
  
  • Large Language Models (LLMs)
  
  
  • Neural embeddings
  
  
  • Retrieval-Augmented Generation (RAG)
  
  
  • LangChain
  
  
  • LangGraph
  
  
  • Vector databases
  
  
  • Enterprise Document/Data (EDD) solutions
  
  
  
  


• Experience in data engineering concepts including ELT pipelines, structured data transformation, and database technologies.


• Strong programming skills in:
  
  
  
  • Python
  
  
  • R
  
  
  • SQL
  
  
  • Shell Scripting
  
  
  
  


• Experience with Python data science frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and related libraries.


• Excellent communication, presentation, and data visualization skills.


• Strong collaboration skills with the ability to work effectively in cross-functional teams.

Preferred Qualifications

• Experience with CI/CD pipelines for ML applications.


• Knowledge of containerization technologies such as Docker and Kubernetes.


• Experience with ML monitoring, model governance, and production model lifecycle management.


• Familiarity with distributed computing frameworks such as Spark.


• Experience working in Agile/Scrum environments.


• Relevant certifications in AWS, Machine Learning, or Data Science are an advantage.

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.