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.