Data Science - Workforce (m/f/d)
hace 2 días
Barcelona
About The Job As a Data Scientist – Workforce Analytics, you will build scalable analytics and predictive models that power Strategic Workforce Planning across Allianz Technology. As part of the People Analytics team, you will work closely with People & Culture and business leaders to forecast workforce demand and supply, identify skills gaps, and inform build/buy/borrow strategies. Your work will turn complex workforce datasets into actionable insights, data products, and decision support tools that improve talent outcomes, productivity, and cost efficiency—while upholding the highest standards of data privacy and ethics. Las cualificaciones, habilidades y toda la experiencia relevante necesaria para este puesto se pueden encontrar en la descripción completa a continuación. What You Do • 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.What You Bring, • 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 visualization (Power BI) and data storytelling for executive stakeholders., • Experience integrating data from People & Culture and operational systems; strong data modeling and data quality mindset., • Excellent stakeholder management, facilitation, and communication skills with the ability to translate technical insights into business actions., • Machine learning knowledge would be a plus., • A creative mind with a passion for exploring new approaches and generating innovative solutions to complex workforce challenges.What We Offer, • We offer a hybrid work model which recognizes the value of striking a balance between in‑person collaboration and remote working, including up to 25 days per year working from abroad., • We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location)., • From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered. #J-18808-Ljbffr