Senior Data Scientist
We’re partnering with a global SaaS enterprise that has recently acquired a logistics‐optimisation platform. They’re assembling a specialist project team to build an agentic data connector that integrates the newly acquired product with their existing cloud ecosystem. The mission: create a standalone application capable of auto‐discovering APIs, interpreting schemas, and generating accurate data mappings without manual intervention.
What you’ll work on:
- Build and validate ML models for automated schema understanding, entity recognition, and mapping generation.
- Analyse APIs and data structures from both platforms to identify integration patterns.
- Design experiments and prototypes to improve mapping accuracy and agent decision‐making.
- Collaborate with engineering and product teams to shape agent behaviour and data interpretation logic.
- Contribute to an agent‐first development approach, orchestrating AI tools to solve integration challenges rapidly.
Skills & experience:
- Strong background in DS/ML (NLP, optimisation, or schema‐matching experience is a plus).
- Solid understanding of APIs, data models, and transformation workflows.
- Experience with agentic AI tools (e.g., Claude, agent frameworks).
- Comfortable in a fast‐paced R&D‐driven environment.
- Bonus: exposure to logistics datasets or consultancy experience.
Tech environment:
- GCP
- Python (Django beneficial)
- GraphQL
- React (handled mainly by engineering)
Contract: 6 months (Inside IR35)
Rate: £550-£650 p/d
Start: ASAP
Location: Remote (UK or Europe)
This is a unique opportunity to shape a genuinely agentic, AI‐driven integration engine within a major global tech organisation.