I&F Decision Sci Practitioner Specialist

Skill required: Delivery - HR Analytics

Designation: IF Decision Sci Practitioner Specialist

Qualifications:Any Graduation

Years of Experience:7 to 11 years

What would you do Intelligent Operations centers. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. .

The Data Science Consultant (CL9) is a senior individual contributor and de facto technical lead for the People Analytics data science workstream. This role is fully accountable for the end-to-end lifecycle of predictive models and advanced analytics use cases - from problem framing and feature engineering through to model deployment and insight communication. The CL9 requires minimal managerial intervention, independently manages stakeholder interactions on technical matters, and is the go-to expert for complex, ambiguous analytics challenges.

What are we looking for A. Advanced Data Science ML Skills

End-to-end ML lifecycle ownership

Feature engineering model pipelines

Advanced algorithms (XGBoost, LightGBM, etc.)

Strong understanding of Workday and data manipulation in Power BI environment
B. Statistical Analytical Skills

Survival analysis (attrition modelling)

Regression, classification, clustering

Causal inference techniques
C. Programming Tools

Python (expert: pandas, sklearn, numpy)

ML platforms (Databricks, SageMaker, Azure ML)
D. People Analytics Expertise

Attrition / flight risk models

Workforce demand forecasting

Hiring success prediction
E. Responsible AI Skills

Bias detection mitigation

Model fairness explainability
F. Business Translation Skills

Data storytelling for HR leaders

Translating insights decisions

69 years of experience in data science, applied ML, or workforce analytics with end-to-end model ownership

Expert proficiency in Python (scikit-learn, XGBoost, LightGBM, statsmodels, pandas, NumPy)

Strong grounding in statistical methods: survival analysis, classification, regression, clustering, causal inference

Experience translating model outputs to non-technical audiences; strong data storytelling skills

Familiarity with cloud ML platforms (Azure ML, AWS SageMaker, Databricks) and MLOps principles

HR domain knowledge across talent acquisition, attrition, workforce planning, and learning development

Master s degree in data science, Statistics, Industrial-Organizational Psychology, Economics, or related quantitative field strongly preferred

Roles and Responsibilities:

Own the full lifecycle of predictive analytics use cases: problem scoping, data collection, feature engineering, modelling, validation, and deployment

Build and maintain production-grade predictive models for attrition risk, flight risk, performance prediction, hiring success, and workforce demand forecasting

Lead scenario planning analyses that quantify workforce supply-demand gaps and support strategic headcount decisions

Develop and maintain a library of reusable assets: feature stores, modelling templates, evaluation frameworks, and scoring pipelines

Translate complex model outputs into clear, actionable narratives for HR and business leaders

Review and provide technical mentorship on the work of the CL10 Data Science Senior Analyst

Proactively identify new use cases where advanced analytics can drive HR value; propose approaches to the Analytics Partner

Ensure model fairness, bias auditing, and responsible AI practices across all workforce models

Contribute to data science best practice documentation and knowledge-sharing within the team

Qualification Any Graduation