Associate Data Scientist - Investment Analytics
India - Hyderabad
- 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 postingThe Associate – Investment Analytics role is an entry‑level analytics position within the Investment Analytics team.
The team will provide structured learning and on‑the‑job exposure.
Develop and apply statistical models for business questions
Design custom analyses in R, Python and Excel
Assist in preparing analysis summaries, documentation and presentations
Keep project timelines and quality standards with team members
From the employer’s posting
The Associate – Investment Analytics role is an entry‑level analytics position within the Investment Analytics team. This role is ideal candidates who are excited about applying analytical thinking, structured problem solving, and data skills to real‑world business questions.
The team will provide structured learning and on‑the‑job exposure. What matters most is curiosity, critical thinking, and a strong learning mindset.
Develop and apply advanced statistical models that help clients understand dynamic business issues.
Design custom analyses in R, Python and Excel to investigate and inform business needs.
Assist in preparing analysis summaries, documentation, and presentation materials.
Collaborate with team members to meet project timelines and quality standards and actively communicate project status updates.
What you’ll bring
All qualificationsCore experience
- Bachelor's (3 to 6 Yrs) or master's (2 to 4 Yrs) degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering.
- Experience in any analytical, data, or problem‑solving role.
- Strong SQL skills and hands‑on experience with Python or R.
Preferred experience
- Demonstrated ability to perform structured QA and validation.
- Experience working with time‑series and investment data.
- Experience supporting analytics in pharma, healthcare, or regulated environments.
- Strong communication skills with the ability to collaborate closely with Senior Associates to deliver high‑quality analytical outputs.
Qualification wording
Bachelor's (3 to 6 Yrs) or master's (2 to 4 Yrs) degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering.
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.
Experience supporting analytics in pharma, healthcare, or regulated environments.
Strong communication skills with the ability to collaborate closely with Senior Associates to deliver high‑quality analytical outputs.
Education & alternatives
BASIC QUALIFICATIONS - Bachelor's (3 to 6 Yrs) or master's (2 to 4 Yrs) degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. - Experience in any analytical, data, or problem‑solving role.
Tools in this posting
- Python
- R
- SQL
- Excel
Source — Tool mentions in context
- Leverage analytic techniques to use data to guide decision-making. - Design custom analyses in R, Python and Excel to investigate and inform business needs. - Assist in preparing analysis summaries, documentation, and presentation materials.
- Experience in any analytical, data, or problem‑solving role. - Strong SQL skills and hands‑on experience with Python or R. Preferred Qualifications
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 15, 2026 · 43 days ago
- Recorded sightings
- 89
- Last seen by us
- Oct 29, 2026
- Reposted
- once since Apr 18, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on amgen.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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Job description
Career Category
Information SystemsJob Description
Level: Associate (L3)
Role: Marketing Investment Optimization – Investment Analytics
MIO OVERVIEW
The Marketing Investment Optimization (MIO) vertical at Amgen is responsible for enabling data‑driven, decision‑grade marketing investment decisions across brands, channels, and portfolios.
MIO brings together Investment Analytics (IA), Media Analytics (MA), and Marketing Science Operations (MSO) to measure effectiveness, quantify incrementality, and optimize marketing investments.
MIO focuses on marketing mix modelling (MMx), Experimentation and Causal Measurement, Optimization, Media and Campaign analytics, Scenario Planning, ensuring that marketing dollars are allocated to maximize business impact. The team partners closely with Brand Marketing, GCC/Agencies, CD&A, and MSO to translate complex analytics into actionable investment decisions.
Role Summary
The Associate – Investment Analytics role is an entry‑level analytics position within the Investment Analytics team. This role is ideal candidates who are excited about applying analytical thinking, structured problem solving, and data skills to real‑world business questions.
The team will provide structured learning and on‑the‑job exposure. What matters most is curiosity, critical thinking, and a strong learning mindset.
LIVE | WHAT YOU WILL DO
As an Associate, you will work under guidance from Senior Associates and Managers to support analytical deliverables and build strong foundations in applied analytics.
You will:
- Develop and apply advanced statistical models that help clients understand dynamic business issues.
- Leverage analytic techniques to use data to guide decision-making.
- Design custom analyses in R, Python and Excel to investigate and inform business needs.
- Assist in preparing analysis summaries, documentation, and presentation materials.
- Collaborate with team members to meet project timelines and quality standards and actively communicate project status updates.
- Engage in ongoing learning to develop industry knowledge, and technical capabilities.
BASIC QUALIFICATIONS
- Bachelor's (3 to 6 Yrs) or master's (2 to 4 Yrs) degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering.
- Experience in any analytical, data, or problem‑solving role.
- Strong SQL skills and hands‑on experience with Python or R.
Preferred Qualifications
- 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 with the ability to collaborate closely with Senior Associates to deliver high‑quality analytical outputs.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
India - Hyderabad
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- Work authorization
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