Data Scientist
Description
Date: 27 October 2026
- Build and refine the Digital HR Process Twin - model workforce processes across hire-to-retire
- Analyze process execution data to identify bottlenecks, compliance gaps, and automation opportunities
- Develop predictive models: attrition risk, time-to-hire forecasting, SLA breach prediction
- Create analytics dashboards for enterprise clients: pipeline conversion funnels, channel spend optimization, recruiter performance
- Design data quality frameworks for pseudonymous HR data (SHA-3 hashing, AES-256 encryption)
- Build the evaluation metrics for AI agent performance across HR domains
- Collaborate with Forward Deployed Engineers on client-specific data analysis
- 3+ years of data science experience, ideally in enterprise SaaS or consulting
- Strong Python skills - pandas, scikit-learn, and statistical analysis
- Experience with SQL and data modelling for complex, multi-source datasets
- Understanding of process mining concepts or willingness to learn deeply
- Ability to communicate data insights to non-technical stakeholders
- Experience with data visualization tools and dash boarding
- Experience with process mining platforms
- Knowledge of HR metrics (time-to-hire, cost-per-hire, attrition rates, SLA compliance)
- Background in enterprise data integration or ETL pipelines
- Familiarity with privacy-preserving analytics and pseudonymous techniques
- Experience with SAP, ServiceNow, Databricks or any similar enterprise decision
- Build the analytical foundation for a new enterprise AI category
- Work with real enterprise data at scale
- Competitive compensation package
- Learn process mining and HR domain expertise on the job
