Job Purpose
Job Purpose
As we enter a period of accelerated digital transformation, the HR Data Scientist will play a critical role in evolving our People Operations from a transactional function into a highly proactive, predictive, and strategic powerhouse. In this role, you will design, build, and implement advanced analytics models, automate data pipelines, and integrate complex HR systems. You will translate raw people data into strategic insights that drive workforce planning, talent acquisition efficiency, employee retention, and compliance initiatives. Collaborating closely with our senior HRIS and data architecture specialists, you will help shape the future of how we attract, develop, and retain global talent.
About HR Our business is nothing without our people. As part of our global Human Resources team, you will be supporting over 8,000 people, across 100 legal entities in 43 different countries. We have a vibrant and nurturing culture where everyone can learn, grow, and thrive. We also love ideas and exploring current ways of doing things, united by our love of language.




Job Overview
Key Responsibilities
Advanced Analytics & Predictive Modeling
Build, validate, and deploy statistical and machine learning models to address critical talent challenges (e.g., flight-risk/retention modeling, workforce demand forecasting, and candidate success profiling).
Conduct deep-dive statistical analyses to uncover hidden trends in employee engagement, performance, diversity, and compensation.
Design framework models to evaluate pay equity, internal mobility patterns, and workforce demographics to support global compliance (such as the EU Pay Transparency Directive) and equity initiatives.
Automation & Data Engineering Integration
Partner with IT and systems teams to design, build, and optimize automated data pipelines (ETL/ELT processes) that aggregate data from disparate HR systems (ATS/iCIMS, Core HRIS, LMS, performance tools).
Identify manual data aggregation processes w

📌 HR Data Scientist (Bengaluru)
🏢 RWS Group
📍 Bengaluru