Decision Science Practitioner Analyst

I&F Decision Sci Practitioner Analyst

Skill required: Delivery - Workday Advanced Reporting
Designation: I&F Decision Sci Practitioner Analyst
Qualifications:Any Graduation
Years of Experience:3 to 5 years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com. The Data Science Senior Analyst (CL11) supports the CL9 Consultant in building, testing, and maintaining people analytics models. This role executes well-scoped analytical tasks with moderate autonomy — conducting exploratory analyses, building model components, running experiments, and preparing insight outputs. Design and configure advanced reports in Workday involving financial reporting HCM etc. to meet customers reporting needs.
What are we looking for? • Exploratory data analysis (EDA) • Feature engineering • Model building (baseline models) • Strong understanding of Workday and Power BI environments • Python (pandas, sklearn, visualization libraries) • A/B testing • Model evaluation metrics • Model monitoring (drift, retraining) • Documentation & knowledge capture of models • Working under guidance of senior DS • Code reviews & peer collaboration • Model building & experimentation • Statistical analysis • HR data familiarity • 2–3 years of experience in data science, quantitative analytics, or workforce analytics • Solid Python skills for data manipulation, visualization, and modelling (pandas, scikit-learn, matplotlib/seaborn) • Working knowledge of core ML techniques: classification, regression, clustering, and model evaluation metrics • Ability to work on structured analytical tasks with moderate supervision • Exposure to HR data or people analytics use cases • Bachelor s or Master s degree in Data Science, Statistics, Mathematics, Economics, or related quantitative field
Roles and Responsibilities: • Conduct exploratory data analysis (EDA) on HR datasets to surface patterns, outliers, and feature candidates for modelling • Build and test model components including feature engineering pipelines, baseline models, and evaluation scripts • Run A/B tests and model experiments; document results and present findings to the CL9 • Support the CL9 in preparing scenario planning outputs, workforce demand models, and ad-hoc statistical analyses • Maintain existing models: retrain on updated data, monitor model drift, and flag performance degradation • Prepare clear documentation for models including methodology notes, data assumptions, and result summaries • Assist in developing reusable analytics assets under the guidance of the CL9 • Participate in peer reviews of code and analytical outputs within the data science workstream