Senior Data Scientist (Contract)
Location: Germany (Hybrid – Berlin))
Contract: 12 Months (Extension Likely)
Industry: Retail / eCommerce
Start: ASAP
Overview
We’re supporting a leading retail client in Germany as they continue to expand their enterprise AI and advanced analytics capability.
As a Senior Data Scientist, you’ll work alongside Data Engineers, ML Engineers and Product Owners to develop production-ready machine learning solutions that optimise customer experience, pricing, inventory management and supply chain operations.
This is a hands-on role requiring strong technical expertise alongside the ability to communicate complex analytical findings to both technical and business stakeholders.
Responsibilities
- Design, build and deploy machine learning models to solve complex business challenges.
- Develop predictive models across customer analytics, pricing optimisation, demand forecasting and inventory management.
- Analyse large-scale transactional, behavioural and customer datasets to generate actionable business insights.
- Collaborate closely with Data Engineering teams to productionise machine learning models.
- Design and evaluate A/B testing frameworks to measure model performance and business impact.
- Present insights and recommendations to senior business stakeholders.
- Mentor junior Data Scientists and provide technical leadership across the project.
- Work within Agile delivery teams across multiple workstreams.
- Ensure models comply with governance, explainability and GDPR requirements.
Required Skills
- Strong commercial experience with Python, SQL and PySpark
- Proven expertise building and deploying Machine Learning models using Scikit-learn, XGBoost and deep learning frameworks such as TensorFlow or PyTorch
- Hands-on experience working with Databricks and Snowflake
- Experience developing cloud-native solutions within Microsoft Azure
- Knowledge of MLflow, Git and Docker for model lifecycle management
- Experience creating dashboards and communicating insights using Power BI
- Strong understanding of statistics, feature engineering, model evaluation and A/B testing
Typical Project Work
- Customer segmentation and behavioural analytics
- Personalised product recommendation engines
- Demand forecasting across retail operations
- Dynamic pricing optimisation
- Promotion effectiveness modelling
- Customer churn prediction
- Inventory and supply chain optimisation
- Marketing attribution modelling
- Fraud detection and anomaly detection
Required Experience
- 6+ years of commercial Data Science experience
- Proven experience delivering end-to-end machine learning solutions within enterprise environments
- Experience deploying models into production environments
- Strong stakeholder management and communication skills
- Previous experience working within Agile delivery teams
- Retail, eCommerce or FMCG experience is highly desirable
