Business Process Consultant Data Science (w/m/d) – AI & SAP Retail Intelligence

SAP IT Business Systeme; Zürich; Sur place; CHF 110 000 - 160 000; Plein temps

Résumé du poste

SAP is seeking a Business Process Consultant Data Science (w/m/d) for AI & SAP Retail Intelligence in Zurich. You will apply data science to real retail processes, focusing on AI-based forecasting, demand planning, and inventory optimization within international teams.

The role involves implementing SAP Customer Activity Repository, Unified Demand Forecast, and SAP Retail Intelligence, with emphasis on data integration, model validation, and continuous improvement of forecasting models.

Qualifications

• Solid analytical and data science background with relevant degree and experience.
• Experience in time series analysis, ML, AI-enabled forecasting, and data preparation.
• Fluency in German and business-level English.

Responsabilités

• Support international retail customers in implementing and integrating SAP Customer Activity Repository, Unified Demand Forecast, and SAP Retail Intelligence.
• Assess, prepare, and evaluate large data volumes; contribute to robust forecasting and inventory optimization models.
• Collaborate with functional and technical teams to improve end-to-end demand planning and inventory management.
• Contribute to next-generation forecasting solutions and AI topics for Autonomous Unified Commerce readiness.
• Ensure data quality through validations, monitoring, and governance methods.

Connaissances

Time series analysis

Statistical methods

Machine learning

AI-enabled forecasting

Data preparation

Data quality checks

SQL

Data modeling

Data integration

Retail forecasting

Demand and Inventory Planning

SAP Retail Intelligence

Formation

Degree in mathematics or computer science or data science or engineering or natural sciences

Outils

SAP Customer Activity Repository

Unified Demand Forecast

SAP Retail Intelligence

SAP Business Data Cloud

SAP Business Technology Platform

Description du poste

Business Process Consultant Data Science (w/m/d) – AI & SAP Retail Intelligence

• Full-time

What you’ll bring

You bring a solid analytical and data science background, ideally based on a degree in mathematics, computer science, data science, engineering, natural sciences, or a comparable qualification with relevant professional experience. You have practical experience in time series analysis, statistical methods, machine learning, AI-enabled forecasting, data preparation, and data quality checks.

You are confident working with SQL, databases, large data volumes, data models, and analytical questions. You understand integration scenarios and are able to evaluate functional and technical requirementswith technical teams. Experience with data integration, complex system landscapes, and heterogeneous data sources is a plus.

You want to apply data science methods in real retail business processes. You are motivated to grow your expertise in SAP Retail Intelligence, Demand and Inventory Planning, AI-based planning, and customer-facing consulting. Detailed knowledge of all SAP components is not mandatory, but curiosity and willingness to learn SAP Retail Intelligence and modern planning processes are essential.

You communicate analytical results clearly to different stakeholder groups and translate them into actionable recommendations. You work in a structured, self‑directed, and team‑oriented way, have strong analytical thinking skills, and enjoy working in international teams. Fluency in German and business‑level English are required.

What you’ll build

You will support international retail customers in implementing and integrating SAP Customer Activity Repository, Unified Demand Forecast, and SAP Retail Intelligence, with a focus on data analysis, AI‑and‑ML‑enabled demand forecasting, replenishment, and inventory optimization.

You will assess, prepare, and evaluate large data volumes and contribute to robust forecasting, planning, and optimization models. Your work will include time series analysis, feature engineering, model validation, forecast quality assessment, error analysis, KPI concepts, model monitoring, retraining approaches, and the continuous improvement of forecasting models.

You will contribute to data integration between SAP components and heterogeneous data sources and help ensure data quality through validations, monitoring, and appropriate governance methods. In close collaboration with functional and technical teams, you will help customers improve end‑to‑end processes in demand planning, forecasting, automated replenishment, and inventory management.

You will also contribute to next‑generation forecasting solutions and AI topics, helping customers prepare for and successfully adopt innovative planning and forecasting capabilities. In this role, you will support our retail customers on their Autonomous Enterprise journey towards Autonomous Unified Commerce.

Where you belong

You will join the Consumer Industry Services team, where we support international retail customers with demand forecasting, automated replenishment, inventory optimization, and Demand and Inventory Planning. Our team combines data science, SAP solution expertise, retail process knowledge, and customer‑facing consulting. We work on modern SAP Retail Intelligence scenarios and actively collaborate on next‑generation forecasting and AI topics to make new technological opportunities usable for our customers and support adoption readiness.

This role is designed for candidates who want to use their data science expertise in real business processes and grow into a future‑oriented AI and SAP Retail consulting role. You will work with skilled colleagues, international stakeholders, and customers who are shaping the next step towards SAP Autonomous Enterprise and Autonomous Unified Commerce.

We value the skills you bring and support you to build on them through our learning and development opportunities. These are the skills associated with this role:

Data Science, Time Series Analysis, Statistical Methods, Machine Learning, AI-enabled Forecasting, SQL, Data Modeling, Data Quality Management, Data Integration, Retail Forecasting, Retail Replenishment, Demand and Inventory Planning, SAP Retail Intelligence, SAP Customer Activity Repository, Unified Demand Forecast, SAP Business Data Cloud, SAP Business Technology Platform, Business Process Analysis, Business Process Consulting, Business Process Automation, Effective Communication, Strategic Thinking, AI Adoption Capability, AI Output Quality Assurance, AI-Assisted Automation and Prototyping

About SAP
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