Data Science Entry Level Role

4 Months ago • 1-4 Years • Undisclosed

About the job

Job Description

Senior Data Scientist with 1-4 years of experience in LLMs, NLP, Python & PySpark, and Machine Learning frameworks.
Must have:
  • LLMs experience
  • NLP expertise
  • Python & PySpark
  • ML frameworks
Good to have:
  • Azure MLOps
  • Cloud platforms
  • Hugging Face
  • TensorFlow/PyTorch
Perks:
  • Bain & Company
  • Startup environment

About the job

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.

Job Description: We are seeking an experienced and highly motivated Senior Data Scientist specializing in Large Language Models (LLMs) to join our dynamic team. The ideal candidate will have a strong background in machine learning, natural language processing, and a proven track record of deploying LLMs to solve real-world problems.

Key Responsibilities:

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

Qualifications:

  • Bachelor’s or Master’s degree in computer science, Data Science, Statistics, or a related field
  • 1 to 4 years of experience in data science, with a focus on natural language processing and LLMs
  • Proficiency in Python & PySpark
  • Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers)
  • Strong understanding of LLM architectures, training techniques, and fine-tuning methods
  • Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure) 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”

Company Profile:

NPS Prism is a market-leading, cloud-based CX benchmarking and operational improvement platform 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.

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About The Company

Haryana, India (On-Site)

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