Data Scientist

CoffeeBeans Consulting is seeking an enthusiastic L1 Data Scientist to join our rapidly expanding team in Bengaluru. This role offers an exceptional opportunity for early-career professionals to dive deep into real-world machine learning and generative AI applications. As a Data Scientist, you will contribute to building intelligent, scalable, and user-centric solutions, working alongside experienced professionals at the forefront of ML, NLP, and product development.

You will play a crucial role in developing and fine-tuning large language model (LLM)-based applications such as chatbots, copilots, and automation workflows, alongside traditional data science tasks. This position is ideal for individuals with a strong analytical mindset, a passion for artificial intelligence, and a keen interest in the evolving field of generative AI.

Key Responsibilities

• Collaborate with business stakeholders to translate complex problem statements into actionable data science tasks.
• Perform comprehensive data collection, cleaning, feature engineering, and exploratory data analysis to uncover insights.
• Develop, implement, and rigorously evaluate machine learning models using Python and key ML libraries.
• Actively assist in constructing LLM-based workflows, including Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning for diverse use cases such as document summarisation and query resolution.
• Contribute to the development of GenAI-powered applications utilizing frameworks like LangChain, OpenAI APIs, or similar LLM ecosystems.
• Work closely with engineers to build and test API endpoints, seamlessly integrate models into applications, and monitor their performance post-deployment.
• Maintain detailed and reproducible notebooks and clear documentation for both traditional ML and LLM experiments.
• Stay abreast of the latest trends and advancements in machine learning, natural language processing, and the broader GenAI ecosystem, contributing valuable insights to team discussions.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a closely related quantitative field.
• 0-3 years of professional experience in data science, machine learning, or AI-focused roles.
• Demonstrated proficiency in Python, with practical experience using libraries such as Pandas, NumPy, scikit-learn, and Matplotlib.
• Basic experience with Large Language Models (LLMs) from providers like OpenAI, Cohere, Mistral, or Hugging Face, or a strong willingness and aptitude for rapid learning.
• Understanding of Natural Language Processing (NLP) fundamentals and vector-based retrieval techniques is considered a significant advantage.
• Familiarity with SQL and practical experience working with structured data sources.
• Excellent communication skills, a curious mind, and a proactive approach to taking initiative.

What We Offer

• An opportunity to work on cutting-edge GenAI and ML use cases across various industries, including fintech, retail, and healthcare.
• A fast-paced learning environment with dedicated mentorship from senior data scientists, engineers, and architects.
• A flat, collaborative company culture that highly values ownership, innovation, and curiosity.
• A strong emphasis on product thinking, continuous experimentation, and delivering tangible impact.