Senior Data Scientist(Data & Analytics) - Python

Amgen; Hyderabad; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Amgen in Hyderabad is seeking a Data Scientist to partner with scientists, engineers, and stakeholders to unlock Process Development data and accelerate digital transformation through analytics, data products, and AI-enabled solutions.

You will lead initiatives across data strategy, advanced analytics, process optimization, and AI use cases, delivering practical solutions that improve decision-making and business outcomes in a regulated biotech environment.

Qualifications

• Master's degree OR Bachelor's degree with 7–11 years of relevant experience.

Responsibilities

• Partner with stakeholders to identify analytics opportunities driving measurable value.
• Lead design and development of analytical solutions, dashboards, models, and data products for decision-making.
• Apply statistical, machine learning, and data science methods to solve complex problems.
• Drive exploratory, trend, forecasting, and modeling across multiple data sources.
• Contribute to AI-enabled solutions, including generative AI use cases where appropriate.
• Improve data accessibility, quality, and stewardship in collaboration with data, product, and engineering teams.
• Translate business problems into analytical approaches and communicate findings to technical and non-technical audiences.
• Lead or co-lead small projects and guide peers on methods and best practices.
• Shape standards for analytics, visualization, and data science delivery.
• Stay current with emerging technologies and apply pragmatically in Amgen's environment.

Skills

Python

R

SQL

Data Visualization

Machine Learning

Stakeholder Engagement

Education

Bachelor's or Master's degree

Tools

Spotfire

Tableau

Power BI

Job description

How might you defy imagination?

At Amgen, our shared mission to serve patients drives all that we do. In this vital role, you will join Amgen's Transformative Digital Capabilities (TDC) organization within Process Development and help accelerate digital transformation through analytics, data products, and AI-enabled solutions.

What Will You Do

As a Data Scientist, you will partner with scientists, engineers, business stakeholders, and technology teams to unlock the value of Process Development data. You will lead analytical initiatives that improve decision-making, increase data accessibility and usability, and enable scalable digital and AI capabilities across Process Development. You will work across a range of initiatives spanning data strategy, advanced analytics, process optimization, digital products, and data science solutions that improve business outcomes and accelerate innovation.

A successful candidate will independently manage multiple assignments, anticipate and prevent potential problems, develop practical solutions aligned to operational objectives, and provide guidance to other professionals.

Job Requirements

• Partner with stakeholders to identify and prioritize opportunities where analytics, AI, or data science can drive measurable value.
• Lead the design and development of analytical solutions, dashboards, models, and data products that support scientific and business decision-making.
• Apply statistical, machine learning, and data science methods to solve complex business and scientific problems.
• Drive exploratory analysis, trend analysis, forecasting and modeling using multiple sources of data.
• Contribute to the development and deployment of AI-enabled solutions, including machine learning and generative AI use cases where appropriate.
• Improve data accessibility, usability, quality, and stewardship in partnership with data, product, and engineering teams.
• Translate business problems into analytical approaches, define success metrics, and communicate recommendations to technical and non-technical audiences.
• Lead or co-lead small projects or workstreams and provide guidance to peers on analytical methods and best practices.
• Help shape standards and repeatable approaches for analytics, visualization, and data science delivery.
• Stay current with emerging technologies, data science methodologies, and industry best practices and apply them pragmatically to Amgen's environment.

Basic Qualifications

• Master's degree OR Bachelor's degree and 7 - 11 years of relevant experience

Preferred Qualifications

• Experience applying data science, analytics, or statistical methods to solve complex business or scientific problems.
• Strong proficiency in Python, R, SQL, or related analytical programming and query languages.
• Experience designing dashboards and visualizations using Spotfire, Tableau, Power BI, or similar tools.
• Experience developing and deploying analytical models, decision-support tools, or data products.
• Understanding of data governance, metadata, data quality, and data management principles.
• Familiarity with machine learning, AI, and generative AI concepts and practical applications.
• Strong stakeholder engagement and communication skills with the ability to explain analytical insights clearly.
• Experience working in cross-functional teams and Agile environments.
• Experience in biotechnology, pharmaceuticals, manufacturing, or other regulated industries preferred.