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About the Role
Beratung - Du unterstützt Kund:innen dabei, Marketing- und Customer-Engagement-Strategien datenbasiert zu optimieren und den Wert ihrer Kundenbeziehungen messbar zu steigern. Analysen - Gemeinsam mit deinem Team entwickelst du Lösungen für Customer Analytics, Marketing Mix Modeling, Attribution, Personalisierung und Next-Best-Action. Modellierung - Du konzipierst, trainierst und validierst Machine-Learning-Modelle, zum Beispiel für Segmentierung, Forecasting, A/B Testing oder Customer Lifetime Value. Operationalisierung - Von Datenexploration und Feature Engineering bis Deployment, Monitoring und Retraining begleitest du Data-Science-Lösungen im Marketing-Kontext. Zusammenarbeit - In interdisziplinären Teams übersetzt du Modellergebnisse in klare Handlungsempfehlungen für Fachbereiche, CRM, Analytics und Marketing-Technologie.
Responsibilities
- Unterstütze Kund:innen dabei, Marketing- und Customer-Engagement-Strategien datenbasiert zu optimieren und den Wert ihrer Kundenbeziehungen messbar zu steigern.
- Entwickle Lösungen für Customer Analytics, Marketing Mix Modeling, Attribution, Personalisierung und Next-Best-Action.
- Konzipiere, trainiere und validiere Machine-Learning-Modelle, z.B. für Segmentierung, Forecasting, A/B Testing oder Customer Lifetime Value.
- Begleite Data-Science-Lösungen im Marketing-Kontext von Datenexploration und Feature Engineering bis Deployment, Monitoring und Retraining.
- Übersetze Modellergebnisse in klare Handlungsempfehlungen für Fachbereiche, CRM, Analytics und Marketing-Technologie in interdisziplinären Teams.
Requirements
- Abgeschlossenes Studium in Data Science, Wirtschaftsinformatik, Statistik, Mathematik, Marketing Analytics oder einem vergleichbaren Bereich.
- Mindestens zwei Jahre Erfahrung in Data Science, AI, Marketing Analytics oder Customer Analytics.
- Erfahrung in der Entwicklung datengetriebener Lösungen im Marketing-Kontext.
- Sicherer Umgang mit Python und SQL.
- Erfahrung mit Cloud-Plattformen wie Azure, AWS oder GCP.
- Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift.
- Fähigkeit, komplexe Analysen verständlich zu formulieren und strukturiert zu arbeiten.
Skills
- Python
- SQL
- Cloud-Plattformen (Azure, AWS, GCP)
- Data Warehouses
- BI-Tools
- Customer Data Platforms
- Customer Analytics
- Marketing Mix Modeling
- Attribution
- Personalisierung
- Next-Best-Action
- Machine Learning
- Segmentierung
- Forecasting
- A/B Testing
- Customer Lifetime Value
Location
- Remote
- Hybrid
Work Type
- Full-time
- Hybrid
- Remote
Experience Level
- Minimum two years of experience
Education Level
- Degree in Data Science, Business Informatics, Statistics, Mathematics, Marketing Analytics, or a comparable field.
Benefits
- Flexible working hours with a mix of office days and home office.
- No core working hours; flexible scheduling within operational requirements.
- Opportunity to work temporarily in over 40 countries.
- Continuous professional development through internal academy, international experience, and mentoring.
- Master's degree sponsorship available.
- Time off in lieu for overtime hours collected on an annual working time account.
- Annual payout of remaining overtime hours.
- 30 vacation days per calendar year.
- Company health insurance.
- Preventive health check-ups.
- Sports activities, including a free company sports program.
- Discounted Urban Sports Club membership.
- Positive work environment that supports flexible and creative work, recognizes work, and rewards performance.
About the Company
- At PwC Germany, we work to solve critical challenges, create sustainable results, and build trust in the economy and society.
- As part of our Customer Transformation Team, you will advise our clients in the areas of marketing, pricing, sales, commerce, and service.
- We utilize innovative cloud platforms and are, for example, a global partner of Salesforce and SAP.
- In our interdisciplinary team, you will support our clients in all project phases – from conception to implementation and employee qualification.
- You will quickly take on responsibility and develop personally.
- Find your perfect place in our broadly based and innovative team!