Time since we first saw it
Day 4
Early. Similar jobs usually come down between day 7 and day 57.
At Amgen, jobs usually come down by about day 50.
From 10,789 similar postings that came down, and 208 of Amgen’s. Coming down is not always a hire.
Senior Associate - Commercial Analytics & AI Enablement (Data Scientist)
India - Hyderabad
Actively hiring, first seen by us 4 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingFind, prioritize and deliver AI use cases across the commercial portfolio
Build AI solutions using generative AI, LLMs, coding assistants and agentic workflows
Create reusable AI assets such as prompt libraries, templates, agents and code modules
Design quality frameworks and validation checks for AI outputs
Drive AI adoption across the analytics team through training and playbooks
From the employer’s posting
Partner with the Manager to find, prioritize and deliver AI use cases across the commercial portfolio
Build and iterate on AI-enabled solutions using generative AI, LLMs, coding assistants and agentic workflows, from proof-of-concept through production.
Help build reusable AI assets such as prompt libraries, templates, agents, code modules and workflow accelerators
Design and apply quality frameworks for AI outputs, including validation checks, evaluation criteria, benchmark datasets, human-in-the-loop review and error tracking.
Drive AI adoption across the analytics team through demos, playbooks, training sessions, office hours and knowledge-sharing forums.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree with 3–6 years, or Master's degree with 2–4 years, of experience in analytics, data science or sales and marketing operations.
- Strong Python, JS, AI Development skills, plus hands-on experience building solutions with generative AI or LLMs, such as prompt engineering, API integration, retrieval-augmented generation (RAG) or agentic workflows.
- Experience working with structured commercial or healthcare data, ideally US commercial pharma secondary data.
Preferred experience
- Experience designing validation, testing or quality-assurance frameworks for analytical or AI outputs.
- Familiarity with AI coding assistants and enterprise AI platforms, and with version control and engineering best practices (Git, code review, documentation).
- Understanding of the strengths, limitations and risks of different AI and analytical approaches, including hallucination, bias and data leakage.
Qualification wording
Bachelor's degree with 3–6 years, or Master's degree with 2–4 years, of experience in analytics, data science or sales and marketing operations.
Strong Python, JS, AI Development skills, plus hands-on experience building solutions with generative AI or LLMs, such as prompt engineering, API integration, retrieval-augmented generation (RAG) or agentic workflows.
Experience working with structured commercial or healthcare data, ideally US commercial pharma secondary data.
Experience designing validation, testing or quality-assurance frameworks for analytical or AI outputs.
Familiarity with AI coding assistants and enterprise AI platforms, and with version control and engineering best practices (Git, code review, documentation).
Understanding of the strengths, limitations and risks of different AI and analytical approaches, including hallucination, bias and data leakage.
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20264 days ago
- Recorded sightings
- 5
- Last seen by us
- Nov 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Amgen is hiring
200 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is picking up
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- Databricks
- Tableau
- JavaScript
Where the posting names them
- Bachelor's degree with 3–6 years, or Master's degree with 2–4 years, of experience in analytics, data science or sales and marketing operations. - Strong Python, JS, AI Development skills, plus hands-on experience building solutions with generative AI or LLMs, such as prompt engineering, API integration, retrieval-augmented generation (RAG) or agentic workflows. - Working knowledge of cloud data platforms (AWS, Databricks) and visualization tools such as Tableau.
- Strong Python, JS, AI Development skills, plus hands-on experience building solutions with generative AI or LLMs, such as prompt engineering, API integration, retrieval-augmented generation (RAG) or agentic workflows. - Working knowledge of cloud data platforms (AWS, Databricks) and visualization tools such as Tableau. - Experience working with structured commercial or healthcare data, ideally US commercial pharma secondary data.
Your next step
Complete your application on amgen.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
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Already applied? Track this application
About Amgen
- People
- About 31,500 in 2025, up 13% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as AMGN.
- H-1B visas
- 143 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Career Category
OperationsJob Description
Amgen India (AIN)
The Commercial Analytics team at Amgen is a strategic partner to Commercial leadership. It delivers high-quality analyses and data-backed insights that drive US commercial performance. This role is part of Amgen's growing analytics capability in India. It works closely with US-based Commercial and Global Customer Capabilities Innovation teams to bring AI into how we generate insights and support decisions across the business.
As our Commercial Analytics Sr. Associate for AI Innovation & Enablement, you will play a hands-on role in turning AI ideas into working, trusted solutions across the brand portfolio. You will partner with the Manager to carry out the team's AI agenda. That means building and scaling AI use cases, shaping reusable tools and platforms, and making sure every AI output meets a high bar for accuracy and compliance. The role calls for curiosity, strong learning agility, close attention to detail, and a builder's mindset.
Live | What you will do
1. AI Use Case Delivery & Innovation
- Partner with the Manager to find, prioritize and deliver AI use cases across the commercial portfolio, including performance analytics, insight generation, reporting automation, market research and competitive intelligence.
- Build and iterate on AI-enabled solutions using generative AI, LLMs, coding assistants and agentic workflows, from proof-of-concept through production.
- Turn business problems into clear AI solution designs, covering inputs, logic, outputs, success criteria and value measures.
- Keep up with new AI tools, methods and industry practices, and bring practical ideas back to the team.
2. Platform Build & Productization
- Help build reusable AI assets such as prompt libraries, templates, agents, code modules and workflow accelerators that scale across brands and teams.
- Connect AI solutions to governed commercial data sources such as claims, specialty pharmacy, CRM and secondary data, working with data engineering and platform teams.
- Document solutions, data lineage, business rules and caveats so outputs are repeatable, auditable and easy to hand over.
- Help move successful pilots into standard, scalable capabilities that cut manual effort and speed up insights.
3. AI Quality, Governance & Responsible Use
- Design and apply quality frameworks for AI outputs, including validation checks, evaluation criteria, benchmark datasets, human-in-the-loop review and error tracking.
- Make sure AI-generated insights are accurate, reproducible and traceable to source data before they reach business stakeholders.
- Follow Amgen's responsible AI, data privacy, legal, regulatory and compliance SOPs across internal teams and vendor partners.
- Monitor solution performance after deployment and drive continuous improvement.
4. Adoption, Enablement & Cross-Functional Collaboration
- Drive AI adoption across the analytics team through demos, playbooks, training sessions, office hours and knowledge-sharing forums.
- Work closely with US teams across brand analytics, forecasting, market research, value and access, decision science, IS/technology, and reporting and visualization.
- Gather requirements, test assumptions and collect user feedback to refine solutions and grow adoption.
- Track and report on adoption, time saved and business impact of AI initiatives.
- Model a culture of curiosity, experimentation, accountability, inclusion and continuous learning across the India team.
Thrive | What you can expect
As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.
Basic Qualifications
- Bachelor's degree with 3–6 years, or Master's degree with 2–4 years, of experience in analytics, data science or sales and marketing operations.
- Strong Python, JS, AI Development skills, plus hands-on experience building solutions with generative AI or LLMs, such as prompt engineering, API integration, retrieval-augmented generation (RAG) or agentic workflows.
- Working knowledge of cloud data platforms (AWS, Databricks) and visualization tools such as Tableau.
- Experience working with structured commercial or healthcare data, ideally US commercial pharma secondary data.
Preferred Qualifications
- Proven track record of taking an analytics or AI solution from idea to production with real user adoption.
- Experience designing validation, testing or quality-assurance frameworks for analytical or AI outputs.
- Familiarity with AI coding assistants and enterprise AI platforms, and with version control and engineering best practices (Git, code review, documentation).
- Understanding of the strengths, limitations and risks of different AI and analytical approaches, including hallucination, bias and data leakage.
- High learning agility: quick to pick up new tools and domains and to apply them to business problems.
- Strong attention to detail and ownership of delivery across cross-functional, multi-geography teams.
- Strong verbal and written communication skills, with the ability to explain technical solutions as a short, clear business story to non-technical audiences
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
India - Hyderabad
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.