Data Scientist

About the job

About the Client A leading specialty e-retailer offering consumer products, travel, and online education services through flexible, hassle-free payment plans. Role and Responsibilities • Design, build, and deploy machine learning and AI models to solve business problems • Work closely with business stakeholders, architects, and engineering teams on data-driven initiatives • Develop scalable predictive models and generate actionable insights • Implement and maintain ML pipelines (CI/CD) in an AWS environment • Apply statistical analysis, deep learning, and GenAI techniques for advanced use cases • Translate business requirements into AI/ML solutions and support decision-making • Ensure proper documentation, version control, and best practices in data science workflows Requirements Technical: • 3–5 years of experience in Data Science • Strong proficiency in Python, SQL (R/Shell scripting is a plus) • Experience with AWS and cloud-based data pipelines • Hands-on with ML algorithms (regression, classification, clustering, forecasting) • Experience with TensorFlow/PyTorch and data visualization tools (Matplotlib/Seaborn) • Knowledge of GenAI and Agentic AI workflows • Familiarity with GitHub, JIRA, and Agile methodologies • Experience in eCommerce/Retail or Fintech preferred If you are interested in this opportunity, please share your updated CV along with your details at pearlin.hannah@antal.com

Requirements

• Machine Learning
• Python
• AWS

Preferred Technologies

• Machine Learning
• Python
• AWS

About the company

A leading specialty e-retailer offering consumer products, travel, and online education services through flexible, hassle-free payment plans.