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# Principal Data Scientist

- **Company:** Xcede
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, NumPy, Pytorch, Large Language Models, Deep Learning, Pandas, Unsupervised Learning
- **Published:** September 10, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pj27qyzp2g

## About the Role

* You've led the delivery of applied machine learning projects, ideally across commercial or regulated sectors
 * Strong Python skills and comfort using core libraries (e.g. NumPy, Pandas), plus familiarity with deep learning tooling like PyTorch
 * Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM / GenAI based projects.
 * Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines
 * Confident in managing small technical teams, reviewing work, and setting standards for robustness and clarity
 * Experience with stakeholder engagement and translating outputs for non-technical audiences

## Description

This is a leadership opportunity at a fast-scaling AI consultancy known for its technical excellence and track record in delivering real-world impact across some of the most important companies globally. The team helps major clients in the Retail sector apply cutting-edge data science in complex operational environments, balancing innovation with reliability and rigour.

You'll join a deeply technical, collaborative group working on custom AI and machine learning solutions that support automation, forecasting, and decision intelligence. The focus is on strategic value creation: solving ambiguous problems with clarity, and delivering tools that embed into the heart of client systems.

What You'll Be Doing

 * Set the technical direction on multi-disciplinary data science & AI projects, from approach selection to architecture design
 * Take ownership of full solution pipelines, leading hands-on development and supporting others to do the same
 * Work closely with senior client stakeholders to shape project scope, track value delivery, and communicate findings
 * Oversee a small team of data scientists on each project, supporting mentorship, quality control, and technical review
 * Collaborate with commercial and delivery teams to shape proposals and ensure feasibility of engagements
 * Contribute to internal capability-building by sharing knowledge, tools, and best practices within the wider team


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