Associate Data Science

Amgen Technology; Hyderabad; On-site; INR 800,000 - 1,500,000; Full time

Job summary

Amgen Technology is seeking an Associate Data Scientist in Hyderabad, India. This entry-level role supports data science initiatives, collaborates with senior data scientists, and contributes to analytics, modeling, and insight generation.

You will build a solid foundation in applied data science and work under guidance to deliver impactful results. You will engage in data preparation, exploratory analysis, feature engineering, and the development and testing of predictive models.

Qualifications

• Bachelor's or Master's degree in a quantitative field.
• 3 years of analytics/data science experience.
• Working knowledge of Python and SQL.
• Strong analytical thinking and problem-solving skills.
• Attention to detail and ability to deliver high-quality work.

Responsibilities

• Support analytics and data science projects across commercial use cases in the Gen Med portfolio.
• Assist in data preparation, exploratory analysis, and feature engineering for modeling.

Skills

Analytical thinking

Problem solving

Attention to detail

Communication skills

Education

Bachelors or Masters in Data Science, Statistics, Engineering, or related field

Tools

Python

SQL

Job description

HOW MIGHT YOU DEFY IMAGINATION

If you feel like youre part of something bigger, its because you are. At Amgen, our shared missionto serve patientsdrives all that we do. We are global collaborators who achieve togetherresearching, manufacturing, and delivering ever-better products that reach millions of patients worldwide. Its time for a career you can be proud of.

Role Overview

The Associate Data Scientist is an entry-level role supporting data science initiatives across Amgens portfolio. This role will work closely with Data Science Leads and senior team members to contribute to analytics, modeling, and insight generation, while building strong foundations in applied data science.

Live | What you will do

• Supportanalytics and data science projectsacross commercial use cases in the Gen Med portfolio
• Assist indata preparation, exploratory analysis, and feature engineeringto enable modeling efforts
• Contribute to development and testing ofpredictive models and analytical frameworksunder guidance of senior data scientists
• Performmetric tracking, performance analysis, and validation checkswith high attention to detail
• Support creation ofinsight summaries, visualizations, and presentationsfor business stakeholders
• Maintain and updatecode, dashboards, and analytical assetsin Python/SQL environments
• Follow best practices fordocumentation, QA, and reproducibility
• Collaborate with team members to meet project timelines and communicate progress effectively
• Engage in continuous learning acrosspredictive modeling, experimentation, and commercial analytics methods

Thrive | What you can expect

• Structured learning and hands-on experience incommercial data science applications
• Exposure toend-to-end analytics delivery across brands and use cases
• Mentorship from experienced data scientists and opportunities to grow intoindependent contributors
• A collaborative environment focused onlearning, impact, and development

Basic Qualifications

• Bachelors or Masters degree in Data Science, Statistics, Engineering, or a related quantitative field
• 3 years of experience inanalytics, data science, or related roles
• Working knowledge ofPython and SQL
• Strong analytical thinking and problem-solving skills
• Attention to detail and ability to deliverhigh-quality, accurate work

Preferred Qualifications

• Exposure topredictive modeling, experimentation, or statistical analysis
• Familiarity withcommercial analytics or marketing performance measurement
• Interest inhealthcare, pharma, or life sciences analytics
• Experience with tools such asJupyter notebooks, Git, or data visualization platforms
• Ability to work collaboratively withcross-functional teams and senior stakeholders
• Strong communication skills and willingness to learn in a fast-paced environment