Data Scientist - Retail Analytics & AI (all genders)

GK Software; Sachsen; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Remote-first

Flexible hours

International collaboration

Backed by Fujitsu

Zusammenfassung

GK Software, a global retail technology leader, seeks a Data Scientist to transform data into business value for retailers. You will apply statistical, ML, and optimization methods to pricing, forecasting, inventory, and decision support in international projects.

You will work with large datasets, communicate findings to business stakeholders, and collaborate with consulting teams to deliver data-driven solutions.

Qualifikationen

• University degree in Data Science, AI, Mathematics, Statistics, CS, Operations Research, Engineering or related quantitative field.
• Experience in data analytics, ML, optimization or forecasting projects.
• Experience with real-world datasets, data cleansing, preparation and feature engineering.
• Strong Python and SQL skills with libraries such as pandas, NumPy, scikit-learn, SciPy, Matplotlib or Seaborn.
• Good English; German proficiency at least intermediate.
• Experience in customer-facing projects or consulting is a plus.

Aufgaben

• Solve retail challenges including Demand Forecasting, Pricing Optimization, Markdown Optimization, Inventory Analytics, and AI-Assisted Decision Support.
• Analyze large, complex datasets from retail and e‑commerce.
• Clean, validate, and prepare structured and unstructured data.
• Identify patterns and drivers to inform business decisions.
• Develop and apply statistical, ML, and optimization models.
• Build forecasting and predictive analytics solutions.
• Evaluate model performance and continuously improve approaches.
• Create visualizations and communicate findings to stakeholders.
• Collaborate with customers to translate requirements into analytics solutions.
• Support data-driven product implementations in international projects.

Kenntnisse

Python

SQL

Pandas

NumPy

scikit-learn

Matplotlib

Seaborn

Machine Learning

Optimization

Communication

English

Ausbildung

Master’s or PhD in Data Science/Math/CS/Statistics/Engineering

Tools

Jupyter

SQL databases

Jobbeschreibung

Shape the Future of Data-Driven Retail Decisions

At GK, a global leader in retail technology and part of the Fujitsu Group, you will help retailers transform data into better business decisions. By combining advanced analytics, machine learning, and mathematical optimization, you will work on innovative customer projects that improve pricing, forecasting, inventory management, and operational efficiency.

Location

Germany - preferably in the Saxony region.

Employment

Full-time, Hybrid.

Contract

Fixed-term until July 2028 (parental leave replacement).

Your Mission

As a Data Scientist, you will work closely with our customers and consulting teams to solve complex retail challenges through data-driven approaches. You combine strong analytical thinking with curiosity for new methods and a creative, solution-oriented mindset. Your business acumen enables you to turn data insights into real customer value, and you communicate complex findings clearly to any audience.

What You'll Do

• Solve highly relevant retail challenges, including Demand Forecasting, Pricing Optimization, Markdown Optimization, Inventory Analytics, Assortment Optimization and AI-Assisted Decision Support.
• Analyze large and complex datasets from retail and e-commerce environments.
• Clean, validate, and prepare structured and unstructured data to ensure high data quality.
• Identify relevant patterns, relationships, and business drivers within customer data.
• Develop and apply statistical, machine learning, and optimization models to solve business problems.
• Build demand forecasting and predictive analytics solutions.
• Evaluate model performance and continuously improve analytical approaches.
• Create meaningful visualizations and communicate complex analytical findings to business stakeholders.
• Collaborate with customers to understand business requirements and translate them into analytical solutions.
• Support the implementation of data-driven products and services within international customer projects.

What You Bring

• University degree in Data Science and Artificial Intelligence, Mathematics, Statistics, Computer Science, Operations Research, Engineering, or a related quantitative discipline.
• Practical experience in data analytics, machine learning, optimization, or forecasting projects.
• Experience handling real-world datasets, ability to work with various types of dataincluding data cleansing, preparation, and feature engineering.
• Ideally experience working in customer-facing projects or consulting environments.
• Strong Python and SQL skills , with experience using relevant data science libraries such as pandas, NumPy, scikit-learn, SciPy, Matplotlib, or Seaborn.
• Experience with machine learning techniques such as Regression methods, Classification models, Decision Trees, Ensemble Methods or Neural Networks.
• Knowledge of mathematical optimization methods is highly desirable, including Linear Programming, Mixed Integer Programming, Nonlinear Optimization, Heuristic approaches.
• Knowledge of data structures and experience working with large datasets to support data-driven decision-making.
• Excellent communication skills and the ability to explain complex analytical concepts to both technical and non-technical audiences.
• Excellent English; intermediate or higher proficiency in German.

Why join GK?

• Mission-driven: We simplify interactions in retail - for businesses and customers alike.
• Empowered by flexibility: Remote-first, flexible hours - work where and how you thrive.
• Culture that connects: Open, collaborative, and people-first - with great coffee if you drop by.
• Backed by strength: With 35+ years of retail tech expertise and as part of Fujitsu, a global IT leader.
• Tech that scales: AI-powered solutions built to grow with the world’s leading retailers.
• Think global: 570,000+ installations in 65+ countries. Real impact, worldwide.

Ready to apply?

If you love retail, live for solving problems, and want to do it alongside a team that genuinely has each other’s backs, we’d love to hear from you. Apply today and let’s build what’s next — together.