About Accenture Data & AI for Supply Chain Team

We are a global Center of Excellence specializing in Data & AI for Supply Chain, with a rapidly growing team of 180+ professionals. Our mission is to turn data into a strategic advantage, driving operational excellence, agility, and smarter, faster decision-making across the end-to-end supply chain.

As we continue to expand, we are looking for passionate professionals to join our team and shape the future of intelligent supply chains.

Our Focus Areas

• Supply Chain Planning - AI-driven demand forecasting, inventory optimization, and planning solutions to enhance agility and efficiency.

• Fulfillment & Network Optimization - Advanced analytics to optimize logistics, warehouse management, distribution, network and last-mile delivery, improving speed, cost, and service levels.

• Manufacturing - AI, machine learning, and IoT to drive predictive maintenance, production efficiency, and quality control in smart manufacturing.

Your role

As a Data Scientist in Accenture´s Data & AI for Supply Chain team, you will:
- Apply AI, advanced analytics, and optimization techniques to solve complex supply chain challenges.
- Engage directly with clients, translating business needs into AI-driven solutions and delivering measurable impact.
- Drive business development, contributing to proposals, identifying new opportunities, and shaping innovative AI offerings.
- Collaborate with multidisciplinary teams, including data scientists, engineers, and business consultants, to implement cutting-edge supply chain solutions

What Skills Are We Looking For?

Basic Qualifications:

• Bachelor´s or Master´s degree in Mathematics, Statistics, Engineering, Computer Science, or a related field. • Proficiency in English (additional languages are a plus). • 1+ years of experience in Data & AI or related fields (we are hiring at different experience levels).

We seek professionals with strong expertise in AI, analytics, and optimization applied to supply chain challenges. While you don´t need to master all of them, experience in multiple areas will be highly valuable. Key skills include:
- Programming: Python, R, SQL
- Operation Reasearch & Simulation: LP, ILP, Heuristics/Meta-Heuristics, Discrete Events Simulation, digital twins.
- Machine Learning & AI: Forecasting, predictive modeling, optimization algorithms.
- Generative AI: LLMs, AI-driven scenario generation, synthetic data modeling, and workflow automation.
- Cloud & Big Data: Experience with Azure, AWS, or GCP, including AI/ML services.
- Supply Chain Solutions: Familiarity with o9, Blue Yonder (BY), SAP IBP, or similar tools.
- Data Engineering & Visualization: Large-scale data processing, market solutions/platforms (Databricks, Snowflake, ..), and tools like Power BI, Tableau, or Looker.

Soft & Strategic Skills

Beyond technical expertise, we look for professionals who can think strategically, collaborate effectively, and drive impact in complex environments. Key skills include:
- Problem-Solving & Critical Thinking: Ability to analyze supply chain challenges and design AI-driven solutions.
- Business Acumen: Understanding the impact of AI and analytics on supply chain efficiency, resilience, and cost reduction.
- Communication & Stakeholder Management: Ability to translate complex data insights into actionable business recommendations for technical and non-technical audiences.
- Agility & Innovation: Comfortable working in fast-paced, evolving environments, with a passion for continuous learning and innovation.

What´s in It for You?

Join Accenture´s Data & AI for Supply Chain team and unlock a challenging and rewarding career, where you will:
- Work on high-impact AI & analytics projects with global clients.
- Collaborate with a team of 180+ data scientists and engineers, including 20% PhDs in Mathematics, Computer Science, Physics, or Statistics.
- Drive cutting-edge AI innovation, including Generative AI applications in supply chain.
- Enjoy a flexible, hybrid work model in a Great Place to Work®-recognized company.

The position is based in Barcelona or Madrid in a hybrid work model, combining remote work with in-office collaboration to foster team synergy. Candidates must reside in Spain and have legal work authorization.