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Project Manager - PAS WKFA - NAT - CNS-PC-Talent

Project Manager - PAS WKFA - NAT - CNS-PC-Talent

10 - 15 years

9 - 13 Lacs

bengaluru

Posted:3 hours ago| Platform:

Apply

Skills Required

assurance lms data management hris hipaa workforce planning agile hr analytics sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Strong experience with Python, R, SQL, and data visualization tools (Power BI, Tableau).
Proficiency in ML libraries (Scikit-learn, XGBoost), NLP (spaCy, transformers), and

GenAI (OpenAI APIs).

Deep understanding of HR domains and data including employee lifecycle,

organizational design, and performance.

Solid grasp of statistical modeling, hypothesis testing, and causal inference.

Preferred Qualifications

Masters or PhD in Data Science, Statistics, Computer Science, or related field.
Experience integrating models into SAP R3, SuccessFactors, and Betterplace or custom

HR apps.

Knowledge of data ethics, explainable AI, and responsible AI frameworks.

Skills and attributes

To qualify for the role you must have
Qualification

10+ years in data science, with 3+ years focused on HR or people analytics

Experience

The Principal Data Scientist HR Domain is responsible for leading advanced analytics and AI initiatives that drive actionable insights across the employee lifecycle. This role partners with HR, business, and technology stakeholders to design predictive models, workforce planning tools, and generative AI solutions. The individual will contribute to a data-driven culture by developing innovative use cases, mentoring analysts, and embedding ethical and explainable AI into HR practices.

Key

Strategic Analytics Leadership

o Define and lead high-impact analytics projects across hiring, retention, performance,

and engagement.

o Develop roadmaps for HR AI/ML use cases aligned with organizational goals.

Model Development & Deployment

o Build and validate predictive models for attrition, flight risk, talent mobility, and DEI

outcomes.

o Apply machine learning, NLP, and generative AI to unstructured HR data (resumes,

surveys, feedback).

o Operationalize models into HR platforms or dashboards via APIs or embedded

analytics.

Data Management & Quality

o Collaborate with data engineering to ensure clean, well-documented HR datasets.
o Integrate data from HRIS (SAP R3, SuccessFactors, Betterplace), ATS, LMS, and

survey platforms.

o Promote data governance, privacy, and compliance with GDPR, HIPAA, etc.

Mentorship & Enablement

o Mentor junior data scientists and HR analysts on best practices and advanced

methods.

o Conduct training on statistical thinking, Python/R programming, and data

storytelling.

o Promote experimentation, agile data science, and responsible AI within HR.

Measurement & Impact

o Define KPIs and value metrics to track analytics impact on HR outcomes.

o Present findings to senior leadership using dashboards, simulations, and

visualizations.

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Project Manager - PAS WKFA - NAT - CNS-PC-Talent