Associate Data Scientist - Investment Analytics
AmgenHyderabad, Telangana, India
Posted April 1, 2026
Full Time
About the Company
Amgen harnesses the best of biology and technology to fight the worldâs toughest diseases, and make peopleâs lives easier, fuller and longer. We helped establish the biotechnology industry, and we remain on the cutting-edge of innovation, using technology and human genetic data to push beyond whatâs known today. Our investment in research and development has yielded a robust pipeline that builds on our existing portfolio of medicines to treat cancer, heart disease, osteoporosis, inflammatory diseases and rare diseases. Amgen is one of 30 companies comprising the Dow Jones Industrial AverageÂź, and part of the Nasdaq-100 IndexÂź. In 2024, Amgen was named one of the âWorldâs Most Innovative Companiesâ by Fast Company and one of âAmericaâs Best Large Employersâ by Forbes. For more information, visit Amgen.com and follow us on X, LinkedIn, Instagram, TikTok, YouTube and Threads. đ Community Guidelines: https://wwwext.amgen.com/community-guidelines đGlobal Privacy Statement Directory: www.amgen.com/dp Special Advisory: Please be cautious of scam recruitment offers claiming to be from Amgen. Such scams may come from various sources, including fake websites and/or unsolicited emails and seek to obtain personal data or payment from victims by offering jobs that do not exist. Please be advised that Amgen would never ask for payment to progress a job application. When in doubt, please check to see if the position in question is posted on this website before applying. Additionally, please report any suspicious recruiting activity to https://complaint.ic3.gov/ and thank you for your assistance.
Job Description
The Associate â Investment Analytics role is an entry-level analytics position within the Investment Analytics team, supporting analytical deliverables and building strong foundations in applied analytics. Key responsibilities include developing and applying advanced statistical models, leveraging analytic techniques to guide decision-making, and collaborating with team members to meet project timelines and quality standards.
Requirements
- Bachelor's (3 to 6 Yrs) or master's (2 to 4 Yrs) degree required in any discipline
- Strong record of academic success in quantitative and analytic coursework
- Experience in any analytical, data, or problem-solving role
- Strong SQL skills and hands-on experience with Python or R
- Demonstrated ability to perform structured QA and validation
- Experience working with time-series and investment data
- Exposure to Marketing Mix Modelling (MMx) or econometric analysis
- Experience supporting analytics in pharma, healthcare, or regulated environments
- Strong communication skills