United States Pharmacopeia (USP) is Hiring Data Scientist, Digital Products | Hyderabad | Freshers & Early Career AI Professionals Can Apply

Job Description

United States Pharmacopeia (USP) is hiring Data Scientists for its Hyderabad office. This opportunity is ideal for fresh graduates and early-career professionals who are passionate about Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), and data-driven innovation.

As a Data Scientist, you will design and develop AI-powered solutions, build machine learning models, work with Generative AI technologies, analyze complex datasets, and collaborate with cross-functional teams to deliver intelligent products that support healthcare and pharmaceutical innovation.

𝐂𝐨𝐦𝐩𝐚𝐧𝐲: United States Pharmacopeia (USP)
𝐑𝐨𝐥𝐞: Data Scientist, Digital Products
𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Hyderabad, India
𝐖𝐨𝐫𝐤 𝐌𝐨𝐝𝐞: Full-Time
𝐉𝐨𝐛 𝐓𝐲𝐩𝐞: Permanent
𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 0–3 Years

𝐀𝐛𝐨𝐮𝐭 𝐔𝐒𝐏

United States Pharmacopeia (USP) is an independent scientific organization dedicated to improving global public health by developing quality standards for medicines, dietary supplements, and food ingredients. Through innovation, scientific excellence, and digital transformation, USP helps ensure the safety and quality of healthcare products used worldwide.

𝐉𝐨𝐛 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

As a Data Scientist, you will develop AI and Machine Learning models, leverage Generative AI technologies, perform data analysis, and create intelligent solutions that improve business outcomes. You will work closely with engineers, product managers, and business stakeholders to build scalable AI-driven applications.

Roles & Responsibilities

- Design, develop, and deploy AI and Machine Learning models.

- Build Generative AI applications using LLMs and Retrieval-Augmented Generation (RAG).

- Perform exploratory data analysis (EDA) and feature engineering.

- Clean, process, and analyze large datasets for model development.

- Evaluate and optimize model performance using appropriate metrics.

- Develop intelligent solutions using prompt engineering techniques.

- Collaborate with data engineers, product managers, and engineering teams.

- Translate business problems into AI-driven solutions.

- Present insights through dashboards and visualizations.

- Contribute to the development of production-ready AI applications.

Qualifications & Eligibility

- Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Analytics, or a related field.

- 0–3 years of experience in Data Science, Artificial Intelligence, or Machine Learning.

- Strong programming knowledge in Python.

- Good understanding of SQL and data analysis.

- Excellent analytical and problem-solving skills.

- Strong communication and teamwork abilities.

Skills Required

- Python

- Machine Learning

- Artificial Intelligence

- Deep Learning

- Generative AI

- Large Language Models (LLMs)

- Prompt Engineering

- Retrieval-Augmented Generation (RAG)

- SQL

- PySpark

- Scikit-learn

- TensorFlow

- PyTorch

- Hugging Face Transformers

- Data Analysis

- Feature Engineering

- Model Evaluation

- Data Visualization

- Problem Solving

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬

- Azure

- AWS

- Google Cloud Platform (GCP)

- Power BI

- Tableau

- Plotly

- FAISS

- Pinecone

- MLflow

- Kubeflow

- Azure Machine Learning

- MLOps

- Scientific or Pharmaceutical Domain Knowledge

- Life Sciences or Chemistry Background

𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐔𝐒𝐏?

- Work on real-world AI solutions that improve global healthcare.

- Build applications using cutting-edge Generative AI technologies.

- Gain hands-on experience with LLMs, RAG, and modern AI frameworks.

- Collaborate with experienced AI engineers, scientists, and product teams.

- Work in an innovation-driven environment focused on continuous learning.

- Contribute to meaningful projects that impact patient safety worldwide.

- Access excellent learning, career growth, and professional development opportunities.

𝐂𝐚𝐫𝐞𝐞𝐫 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬

This role provides an excellent foundation for careers such as:

- Data Scientist

- AI Engineer

- Machine Learning Engineer

- Generative AI Engineer

- NLP Engineer

- Deep Learning Engineer

- Applied AI Engineer

- MLOps Engineer

- Senior Data Scientist

- AI Solution Architect

𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐩𝐩𝐥𝐲?

- B.E./B.Tech, MCA, M.Sc., B.Sc., and other Computer Science, AI, Data Science, Statistics, or Engineering graduates.

- Fresh graduates and early-career professionals interested in Artificial Intelligence and Machine Learning.

- Candidates with academic projects or internship experience in AI, ML, Deep Learning, or Generative AI.

- Individuals passionate about building intelligent systems using Python and modern AI frameworks.

- Developers looking to build expertise in LLMs, RAG, and production AI applications.

- Aspiring AI professionals seeking long-term career growth in Data Science and Artificial Intelligence.