Data Scientist II

NPS Prism

Title: Data Scientist II (Work From Home) Hiring Office: Gurugram

Company Profile:

NPS Prism is a market-leading, cloud-based SaaS business owned by Bain & Company. NPS Prism provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. Based on rock-solid sampling, research, and analytic methodology, it lets customers see how they compare to their competitors on overall NPS®, and on every step of the customer journey.

With NPS Prism you can see where you're strong, where you lag, and how customers feel about doing business with you and your competitors, in their own words. The result: Prioritize the customer interactions that matter most. NPS Prism customers use our customer experience benchmarks and insights to propel their growth and outpace the competition.

Launched in 2019, NPS Prism has rapidly grown to a team of over 200, serving dozens of clients around the world. NPS Prism is 100% owned by Bain & Company, one of the top management consulting firms in the world and a company consistently recognized as one of the world's best places to work. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally.

Position Summary:

NPS Prism has experienced tremendous growth as a standalone software and data business over the past few years and is making the leap from being a consulting-led business to a technology-led business. Given that shift, we are looking to build our team with world-class team members to help drive business growth to its full potential in this next phase. This is a great opportunity to help build the largest startup owned by Bain & Company and take NPS Prism into the future.

We are seeking an experienced and highly motivated Data Scientist II specializing in Large Language Models (LLMs) to join our dynamic team. The ideal candidate will have a strong backgroud in Python with OOPS, LLM & GenAI and Multi-Agent Chatbot, machine learning, natural language processing, and a proven track record of deploying LLMs to solve real-world problems.

Key Responsibilities:

• Develop and deploy LLM-based solutions to address various business challenges.

• Design, build, and optimize machine learning models, particularly focusing on LLMs such as GPT, Llama, Flan – T5, and similar architectures.

• Designed and developed LLM-based chatbot solutions leveraging RAG, multi-agent architectures, quantitative analysis modules, and automated report generation.

• Collaborate with cross-functional teams

• Collaborate with Data Engineering, Product and Technology teams on further build out of analytics architecture.

• Conduct research and stay up to date with the latest advancements in LLMs and NLP.

• Analyze and interpret complex data to provide actionable insights and recommendations.

• Communicate findings and technical concepts to non-technical stakeholders effectively.

• Ensure the scalability and robustness of LLM solutions in production environments.

• Participate in code reviews and contribute to the continuous improvement of our ML infrastructure and practices.

• Take ownership of end-to-end projects, operating where there's a high degree of ambiguity, and delivering results within ambitious timelines

Required Educational Qualifications, Experience & Skills

Educational Qualifications:

• Bachelor's or Master's degree in computer science, Data Science, Statistics, or a related field.

Experience:

• 3+ years of experience in data science, with a focus on GenAI, NLP, multi-agent chatbot, and LLMs.

Skills:

• Proficiency in Python, PySpark, SQL and Vector DB, and Github.

• Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers, Langchain).

• Strong understanding of LLM architectures, training techniques, and fine-tuning methods.

• Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure, Databricks) and Azure MLOps or other SDLC tools

• Excellent problem-solving skills and the ability to work independently and collaboratively.

• Strong communication skills with the ability to explain complex technical concepts to non-technical audiences.

• Experience in a start-up, fast-growth, rapid-change environment

• Must be self-motivated, dedicated to quality and must always strive to do the right thing