Full Stack Engineers - Associate

Overview

As a Full Stack Engineer - Associate, you will contribute to the design, development, testing, and support of data and analytics engineering solutions within the Data Science practice. You will support technical delivery and develop your understanding of software engineering, data science, and visualization methods for addressing business problems.

What you'll do

• Support data science and engineering tasks across client engagements by applying statistical analysis, data modeling, and exploratory analysis.
• Build, test, and refine machine learning workflows, predictive models, and data science algorithms using Python, R, TensorFlow, or Scikit-learn.
• Prepare data pipelines, data lakes, and data quality checks to move information from raw sources into usable analytic formats.
• Create data visualizations and clear summaries that translate findings into actionable insights for technical and business audiences.
• Assist with analysis of large data sets to identify patterns, trends, and opportunities for better decision-making.
• Apply artificial intelligence, deep learning, and natural language processing methods to support solution development and troubleshooting.
• Collaborate with senior team members on research, documentation, and delivery tasks while building technical depth and commercial awareness.
• Use programming languages and digital tooling to develop, debug, and improve analytics solutions across multiple client environments.
• Build skills through hands-on project work, adapt to changing client needs, ask questions, and take ownership of assigned tasks while delivering reliable work in a fast-paced environment.

What you'll need

• At least a Bachelor's degree.
• At least 2 years of experience.
• Oral and written proficiency in English.

Nice to have

• At least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, or Systems Engineering.
• Coursework or project experience in full stack development and data workflows.
• Familiarity with Python, SQL, or other programming languages.
• Experience working with data engineering, machine learning, or analytics tools.
• Experience collaborating in fast-paced client service or project environments.
• Ability to adapt quickly, ask questions, and learn from feedback.
• Frontend Fundamentals.
• Backend Basics.
• HTML/CSS/JavaScript.
• REST APIs.
• Database Basics.
• Git Version Control.
• Testing Fundamentals.

Details

• Location: Bangalore.