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Savify · Artificial intelligence · SV-KI-5
Data Scientist – Savings Analytics (all genders)
DACH · Full-time · Remote/hybrid
Turn spend data into negotiation insight through opportunity assessments, bundling scenarios and defensible savings evidence.
Your responsibilities
- Produce Quick Scan assessments for new customers within 48 hours
- Analyse volume bundling across customers
- Validate savings, baselines and price-versus-volume effects with Savings Controlling
- Build customer and management dashboards
- Support ongoing negotiations with ad hoc analysis
Your profile
- 2+ years of data science or analytics
- Python or R, SQL, statistics and a BI tool such as Power BI or Tableau
- Ability to communicate with non-technical stakeholders
- German C1 and good English
Nice to have
- Procurement, controlling or consulting experience; advanced Excel modelling.
Responsibility and collaboration
- Professional; no line-management responsibility; reports to Head of AI.
Your goals for the first six months
- A standardised Quick Scan and a documented baseline methodology accepted by customers.
What we offer
- Analysis that directly informs negotiations, a steep learning curve, bonus and offsites.