About the Company: This is a high-growth SaaS company based in Auckland focused on AI-powered demand planning. With a core forecasting platform already in market, they’re expanding product capability and growing globally. You’ll join a tight-knit, collaborative team with a shared focus on innovation, automation, and delivering real business impact.
About the Role: This role is critical to evolving the forecasting models that power the product and deliver client insights. You’ll work across time series analysis, anomaly detection, and pipeline automation—balancing deep technical work with production delivery. The environment values initiative, experimentation, and clean code. There’s room to contribute to both core platform work and product R&D.
Skills & Experience: - Strong Python and SQL skills
- 1–2 years’ experience in data science or AI engineering
- Experience deploying machine learning models into production
- Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps
- Understanding of time series, clustering, or anomaly detection
- Version control and clean coding practices
- Excellent communication and problem-solving skills
Why Work Here? - Work on real forecasting problems with messy, high-dimensional data
- Low-bureaucracy, high-autonomy culture - if it works, it ships
- Help shape product strategy through R&D and client delivery
- Collaborate with a small, smart team that backs each other
- Explore tools like AWS, MLOps, and generative AI
- Future progression into senior or leadership roles as the team grows
- Hybrid work setup with flexibility and ownership
If this sounds like something you could be interested in,
apply now and we’ll be in touch!
For questions about the role, email me at
dan@talent.army.
