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Senior Analyst - Data Science (R-19578)

Open 45d
Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at .

Dun & Bradstreet Technology and Corporate Services India LLP is looking for candidates for the role of Senior Analyst to support the Data Science team. The candidate needs to work closely with the team based in India and across a range of Analytics leaders who are located globally to fulfill the deliverables on a timely basis

Key Responsibilities:

  • Support and contribute to Generative AI initiatives across the organization.
  • Develop and deploy GenAI applications using LLMs and AI frameworks.
  • Leverage models such as GPT, Gemini, and LLaMA for AI-powered solutions.
  • Build and manage multi-agent AI systems.
  • Develop solutions using LangChain, LangGraph, FastAPI, Streamlit, Chainlit, and Transformers.
  • Integrate AI capabilities into enterprise applications through APIs and cloud-native architectures.
  • Design and implement RAG pipelines using vector databases such as FAISS, Qdrant, Weaviate, and ChromaDB.
  • Collaborate with stakeholders to understand requirements and deliver AI-driven business solutions.
  • Provide analysis, insights, and recommendations to support business needs.
  • Stay current with emerging Generative AI technologies, tools, and best practices.

Key Requirements:

  • Bachelor's degree in computer science, Engineering, Statistics, or a related technical field
  • 6 - 8 years of experience in Data Analytics, Data Science, or Generative AI roles.
  • Strong experience delivering data-driven and AI solutions in production environments.
  • Proficiency in Python, PySpark, and SQL.
  • Hands-on experience with data science libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.
  • Experience with GenAI platforms and tools, including OpenAI, Anthropic, Google Vertex AI, FastAPI, Gradio, and Streamlit.
  • Strong understanding of RAG (Retrieval-Augmented Generation) and Agentic AI architectures using LangChain and Lang Graph.
  • Experience developing and deploying APIs using Fast API or similar frameworks.
  • Knowledge of MLOps practices and machine learning deployment workflows is a plus.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.
All Dun & Bradstreet job postings can be found at . Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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What this application asks

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Resume/CV, Full name, Pronouns, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Portfolio URL, Twitter URL, Other website

  • Are you a current or previous employee of Dun & Bradstreet? choose one
  • Do you have a family member or relative who is currently employed by Dun & Bradstreet? choose one
  • If you have a family member or relative currently employed by Dun & Bradstreet, please list their name(s): optional
  • Did a current Dun & Bradstreet employee influence you to apply or refer you to the company/role? choose one
  • If you were referred by a Dun & Bradstreet employee, please list their name: optional
  • I am willing and able to work a hybrid schedule at the office location listed in this job posting. choose one
  • This hybrid role requires being in the office on a regular basis. What is your ideal number of days onsite? choose one
  • Are you a current or former employee of KPMG? choose one
  • If you have been employed by KPMG, please share your functional area(s) and approximate dates of employment. optional
  • Please provide your salary expectations:

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