Data Scientist/Data Engineer Analyst/Consultant for Supply Chain - barcelona
Summary
Consultant/Analyst on Accenture's Data & AI for Supply Chain practice in Barcelona, applying optimization, simulation, and machine learning with Python, R, and SQL to fulfillment problems like network design, route optimization, workforce scheduling, and digital twins. On-site in Barcelona.
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Join Accenture’s Data & AI for Supply Chain to apply advanced analytics and AI to solve fulfillment challenges across industries. You will translate real-world supply chain problems into models and algorithms that optimize decisions, from network design to workforce allocation. You’ll design and improve end-to-end solutions, collaborating with cross-functional teams and shaping innovative offerings. This role combines technical depth with strategic impact in a globally distributed practice.
Compensaciones / Beneficios
- Health, life, and accident insurance
- Medical services and wellness programs
- Flexible compensation and stock purchase plans
- Flexibility programs (hours, time off, vacation)
- Personalized training paths
- Sustainability initiatives and Accenture Foundation programs
Responsabilidades
- Apply optimization, simulation, and machine learning to fulfillment challenges
- Translate industry problems into mathematical formulations and develop algorithms
- Design and improve solutions for Route & Flow Path Optimization
- Perform Network Design & Center of Gravity Analysis
- Optimize Workforce Scheduling & Resource Allocation
- Advance Order-to-Cash optimization and stock allocation strategies
- Develop Digital Twins for Fulfillment to test scenarios
- Collaborate with engineers, consultants, and data scientists to deliver impact
- Contribute to business development by shaping offerings
Requisitos principales
- 2+ years of experience in xkdbapo Data & AI or related fields
- Strong expertise in AI, analytics, and optimization as applied to supply chain
- Proficiency in Python, R, SQL
- English proficiency (additional languages a plus)
- Strategic thinking
- Cross-functional collaboration
- Communication of complex insights to diverse audiences
- Python, R, SQL
- Optimization: LP/ILP, Heuristics/Meta-Heuristics, Discrete Event Simulation, digital twins
- Forecasting, predictive modeling, optimization algorithms