Senior Data Scientist
Publicis Global Delivery (PGD)
5 - 10 years
Bengaluru
Posted: 19/02/2026
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Job Description
- Evolve the Data Sciences/Advanced Analytics/Modeling capability within the practice
- Provide expertise on Advanced Analytics/Modeling techniques to enhance our capabilities and bring new opportunities, approaches, ideas, perspectives, etc. to key clients.
- Interest in growing advanced analytical/modeling expertise with a knack for business acumen, a strategic/ technical mindset, client, relationship and project management proficiency
- Structure ambiguous problems, own and drive projects from start to finish, apply sound business judgment, and communicate complex information effectively
- Genuine curious nature, desire to dive deep in the numbers to discover context and make the business case, and goes beyond usual approaches to solve problems and seize opportunities
- Has the willingness to have an opinion backed up by insight and analytics and the confidence to influence key stakeholders in meetings
Requirement:
- Bachelors or Masters degree in Economics, Data Science, Statistics or Business Analytics with focus on modeling
- 5+ years of relevant work experience in a quantitative business environment & Data Science
- Strong experience in Python (Must have worked and created codes from scratch on several projects not merely running someone elses code by changing some parameters)
- SQL (Must have worked and created codes from scratch on several projects not merely running someone elses code by changing some parameters)
- Experience in R programming would be an added advantage
Technical Skill:
- Experience working with various advanced statistical modeling and other forms of quantitative analysis
- Experience in multi-variate regression in projects and understand regressions thoroughly
- P-value, VIF, T-score, R2, MSE, Durbin-Watson should all be familiar terms
- ETL processing
- Knowledge of database structure
- Experience with data manipulation
- Statistical/analytical software packages (Python and R) and coding/programming languages (SQL, Python)
- Proficiency in Microsoft Office, particularly Excel (have the ability to sort, analyze, import, export, clean data, work with pivot tables, and know how to do V and H lookups, etc.) and PowerPoint
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