
Data Scientist – Analytics
About this role
Role Overview
The Data Scientist – Analytics position at WPP Media involves supporting core data science initiatives and optimizing algorithms in Bangalore or Gurgaon. This opportunity is well-suited for a quantitative professional eager to apply advanced data analysis expertise within a global media collective.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
WPP Media functions as WPP's AI-driven media operating unit, merging media, data, and partnerships to deliver creative personalization at scale. Connected through the pioneering agentic marketing platform, WPP Open, and powered by Open Intelligence, the organization helps leading brands understand their media investments. The workplace champions a collaborative culture grounded in shared core values of leading collectively, balancing experiences, and cultivating trust.
How to Apply
Interested candidates should visit the official WPP Media careers page to submit an application for this role.
Skills and tech stack
Questions candidates ask
What locations are available for this role?
The position is based in Bangalore, India, and Gurgaon, India, with a hybrid work approach requiring teams in the office around four days a week.
How many years of experience are required?
Candidates must have between 3 to 10 years of professional experience.
What technical skills and tools are needed?
Applicants need strong programming skills in Python, experience with Jupyter notebooks, and familiarity with GCP services like BigQuery, Google Cloud Functions, and Vertex AI, along with data manipulation libraries such as Pandas and NumPy.
What educational background is necessary?
A Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline is required.
What benefits are offered by WPP Media?
Employees receive competitive medical, dental, and vision insurance, group retirement plans, significant paid time off, preferential partner discounts, and employee mental health awareness days.