Data Scientist

About this role

<p><strong>&nbsp;</strong></p> <p><strong>Data Scientist</strong></p> <p><strong>Important Information</strong></p> <p><strong>Location: Singapore</strong></p> <p><strong>12 months contract</strong></p> <p><strong>Job Summary</strong></p> <p>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.</p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Design, develop, validate, and deploy machine learning and deep learning models for business applications.</li> <li>Build and maintain end-to-end AI/ML pipelines, from data acquisition and feature engineering to model deployment and monitoring.</li> <li>Develop Generative AI applications using Large Language Models (LLMs), embeddings, vector databases, and agentic AI frameworks.</li> <li>Implement AI solutions using frameworks such as LangChain, LangGraph, and other modern AI engineering tools.</li> <li>Apply advanced statistical modeling, optimization techniques, and multi-criteria decision analysis to solve complex business challenges.</li> <li>Develop transformer-based models, reinforcement learning solutions, and other state-of-the-art deep learning architectures where appropriate.</li> <li>Collaborate with data engineering teams to design and optimize ELT pipelines, data transformations, and scalable data architectures.</li> <li>Deploy and manage machine learning models on cloud platforms, preferably AWS, following MLOps best practices.</li> <li>Perform exploratory data analysis, hypothesis testing, feature engineering, and model evaluation.</li> <li>Create clear visualizations, dashboards, and presentations to communicate analytical findings to technical and business stakeholders.</li> <li>Ensure model governance, performance monitoring, and continuous improvement of deployed AI systems.</li> <li>Mentor junior team members and contribute to the adoption of AI and data science best practices.</li> </ul> <p><strong>Required Qualifications</strong></p> <ul> <li>Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.</li> <li>Minimum 3 years of hands-on experience in Data Science with a reputable organization.</li> <li>Strong analytical and problem-solving skills with experience using structured frameworks such as MECE, Root Cause Analysis, and hypothesis-driven approaches.</li> <li>Proven experience in end-to-end machine learning model development, deployment, and monitoring using MLOps practices.</li> <li>Strong experience with cloud-based ML deployment, preferably on AWS.</li> <li>Deep understanding of machine learning, deep learning, optimization, statistical modeling, and predictive analytics.</li> <li>Hands-on experience with transformer models, reinforcement learning, and modern deep learning architectures.</li> <li>Strong experience in AI Engineering, including: <ul> <li>Large Language Models (LLMs)</li> <li>Neural embeddings</li> <li>Retrieval-Augmented Generation (RAG)</li> <li>LangChain</li> <li>LangGraph</li> <li>Vector databases</li> <li>Enterprise Document/Data (EDD) solutions</li> </ul> </li> <li>Experience in data engineering concepts including ELT pipelines, structured data transformation, and database technologies.</li> <li>Strong programming skills in: <ul> <li>Python</li> <li>R</li> <li>SQL</li> <li>Shell Scripting</li> </ul> </li> <li>Experience with Python data science frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and related libraries.</li> <li>Excellent communication, presentation, and data visualization skills.</li> <li>Strong collaboration skills with the ability to work effectively in cross-functional teams.</li> </ul> <p><strong>Preferred Qualifications</strong></p> <ul> <li>Experience with CI/CD pipelines for ML applications.</li> <li>Knowledge of containerization technologies such as Docker and Kubernetes.</li> <li>Experience with ML monitoring, model governance, and production model lifecycle management.</li> <li>Familiarity with distributed computing frameworks such as Spark.</li> <li>Experience working in Agile/Scrum environments.</li> <li>Relevant certifications in AWS, Machine Learning, or Data Science are an advantage.</li> </ul> <p>&nbsp;</p> <p><strong>About Encora</strong></p> <p>Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering &amp; Application Modernization, Data &amp; Analytics, Digital Experience &amp; Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI &amp; LLM Engineering, among others.</p> <p>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.</p> <p><strong>&nbsp;</strong></p> <p><strong>&nbsp;</strong></p> <p>&nbsp;</p> <p>&nbsp;</p>