Sr Data Scientist Full-time

Sr. Data Scientist – Data Sciences & Artificial Intelligence

Amgen harnesses the best of biology and technology to fight the world's toughest diseases and make people's lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what is known today.

About The Role

Global Supply Chain (GSC) is accountable for orchestrating end-to-end supply chain strategies and operations that ensure reliable, timely delivery of medicines to patients — powered by data, innovation, and enterprise-wide collaboration. As part of our team expansion at Amgen India (AIN), GSC is seeking an experienced applied AI Data Scientist to join our team. As a Senior AI Data Scientist, you will be responsible for designing, developing, and deploying complex software applications on clinical and commercial supply chain processes. This role will be actively collaborating with a wide range of business leaders, designing and implementing sophisticated analytical models. You will work closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions.

Roles & Responsibilities

• Rapid prototyping and AI solution development
• AI/ML, Generative AI, and advanced modeling delivery
• AI application integration and automation
• End-to-end AI and data science ownership
• Technical documentation, quality, and problem-solving
• Technology evaluation and learning agility
• Product and module ownership
• Cross-functional collaboration and stakeholder partnership
• Requirements translation and Agile delivery
• Innovation and continuous improvement

Must-Have Skills

• Experience developing and applying AI/ML, Generative AI, analytics, automation, BI, and data visualization solutions to supply chain use cases, using techniques such as Large Language Models, foundation models, predictive modeling, feature engineering, and exploratory data analysis to solve complex business problems.

• Hands-on experience building GenAI and LLM-based applications, including chatbots, copilots, Retrieval-Augmented Generation pipelines, vector database integration, prompt-driven workflows, context-aware AI systems, and enterprise application or workflow integration.

• Experience with AI orchestration and application frameworks such as LangChain, LangGraph, or similar tools.

• Strong understanding of AI agent architectures, orchestration patterns, Responsible AI, model validation principles, and enterprise AI governance.

• Strong hands-on development skills for AI and data science solutions, including Python, AI/ML and data science libraries, APIs, SQL/NoSQL databases, data pipelines, and modern application development practices.

• Prior exposure to pharma, life sciences, or regulated AI environments preferred; familiarity with GxP, HIPAA, or related compliance expectations is a plus.

Soft Skills

• Excellent problem-solving, storytelling, communication, and interpersonal skills, with the ability to explain technical concepts in clear business language.

• Strong verbal and written communication skills, with attention to detail, organization, documentation, and presentation abilities.

• Ability to bridge technical and non-technical teams, synthesize stakeholder inputs, and translate data and AI insights into meaningful business recommendations.

• Skilled in breaking down complex problems, documenting problem statements, estimating effort, assessing technology tradeoffs, and analyzing implementation impact.

• Independent, self-motivated, organized, and able to manage multiple priorities in fast-paced, time-sensitive environments.

• Strong collaboration, facilitation, and team-working skills, including experience working effectively with global virtual teams.

• Demonstrated ability to deliver results across Agile projects, adapt to setbacks, explore alternative approaches, and maintain persistence through completion.

• Awareness of industry trends, emerging technologies, and new approaches for solving complex business problems.