Overview

As a Data Scientist – Workforce Analytics you will build scalable analytics and predictive models to power Strategic Workforce Planning across Allianz Technology. Working with the People Analytics team, you will forecast workforce demand and supply, identify skills gaps, and advise on build, buy or borrow strategies, turning complex workforce datasets into actionable insights, data products, and decision‑support tools.
Responsibilities

Conduct in‑depth data analysis and exploratory studies on workforce datasets from People & Culture, payroll, learning, time & attendance, and finance systems to uncover trends and insights that support Strategic Workforce Planning.
Lead scenario modeling for Strategic Workforce Planning (e.g., demand/supply gaps, skills adjacencies, reskilling vs. hiring trade‑offs) and translate outcomes into clear business recommendations.
Develop forecasting and optimization models for headcount, attrition, hiring, internal mobility, and capacity planning.




Design and curate reusable dashboards and self‑serve data products for People & Culture and business leaders; ensure a single source of truth and strong data governance.
Establish model documentation, validation, monitoring, and MLOps practices to maintain accuracy, fairness, and stability; keep audit‑ready artifacts.
Ensure responsible use of workforce data by applying privacy‑by‑design, access controls, and anonymization aligned with applicable regulations and Allianz standards.
Qualifications

4+ years of experience in data science/advanced analytics with proven delivery in workforce planning, people analytics, or financial planning domains.
Strong proficiency in Python and SQL; experience with notebooks and data frameworks (e.g., pandas, PySpark) and version control (Git).
Hands‑on experience with time‑series forecasting, optimization, simulation, and/or causal methods; ability to link model outputs to business decisions.
Experience in BI and data visualisation (PowerBI) and data s

📌 Data Scientist (Barcelona)
🏢 Allianz Commercial
📍 Barcelona