Data Scientist

Bounteous; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Bounteous in Bengaluru, India is seeking a data science professional with 4-9 years of experience to lead AI/ML projects and develop predictive models.

The role requires hands-on Python, SQL, and cloud experience (AWS/Azure) and the ability to translate research into business outcomes. Collaboration with stakeholders across functions is essential.

Qualifications

• 4 to 9 years of experience in data science / AI/ML roles.
• Proficiency in Python, SQL and cloud platforms (AWS, Azure).
• Exposure to NLP, LLMs, and modern ML techniques is desirable.

Responsibilities

• Lead AI/ML projects and develop supervised and unsupervised models.
• Work with stakeholders to translate research into business outcomes.
• Experimentation setup, model evaluation and deployment for scalability.

Skills

Data Science

Python

R

AI/ML

SQL

AWS

Azure

Job description

4 to 9 years of experience
Skills: Data Science, Python, R, AI/ML, SQL, AWS, Azure

Responsibilities-

Hands on experience in most of the following: AI/ML Projects, Developing Supervised and Unsupervised Machine Learning Algorithms, Deep Learning Models & Techniques, NLP, LLMs. Proficiency in the entire Predictive Modelling life cycle – From exploratory data analysis, data cleaning, Feature Engineering to Model Building and Validation, Operationalization and Scalability and establishing decision strategies, Experimentation Setup (hypothesis testing, measurements) etc. Experience in working with finetuning Large Language Models (LLMs), Prompt Engineering, RAG Applications, Vector Databases, Transformer Architectures. Programming skills in Python, SQL, and hands‑on experience using cloud technology platforms like AWS or Azure. Demonstrated expertise in synthesizing and presenting research and technical findings to diverse audiences. GOOD TO HAVE SKILLS Exposure to AI-centric tools like PyTorch, Langchain, Langgraph is desirable Familiarity with agentic AI concepts (autonomous planning, reasoning, and multi‑step actions) and tools like LangChain, AutoGen, or similar orchestration frameworks. Ability to test and deploy AI agents to automate routine tasks Ability to partner closely with a diverse set of business stakeholders to identify needs and deliver AI/ML solutions

I joined Bounteous largely because of the organization’s innate passion to drive meaningful change, impact, and growth - for employees, customers, and partners. That mission remains a guiding principle for the company today and why I am so honored to be a part of the organization. With a focus on co‑innovation and a commitment to doing things better and doing better things, I am constantly learning, growing, and being challenged – all while feeling like I am making a real impact at the end of the day.

Let's discuss how Bounteous can help your organization turn AI into business outcomes