Uncapped

About the Company

Founded in 2019, Uncapped provides working capital lines from PS10k to PS10m to growing brands, retailers and sellers allowing founders to access fair and flexible finance.

In those 4 years, Uncapped have become a leading alternative finance provider and empowered thousands of ambitious companies to turbocharge growth through non-dilutive capital allowing them to fund inventory, marketing and all other growth needs all while retaining full control and ownership of their business.

Want to find out how we can help scale your business? Get in touch today

Listed Jobs

Company Name

Uncapped

Job Title

Data Scientist

Job Description

**Job title** Data Scientist **Role Summary** Design, develop, and implement advanced machine learning and AI models focused on credit risk and related business use cases. Lead the full model lifecycle, from data ingestion to deployment, and collaborate across product, engineering, and risk teams to align ML solutions with business and regulatory goals. **Expactations** - Manage end‑to‑end model development and production deployment, maintaining high accuracy and relevance. - Drive and maintain an ML Ops framework that supports continuous integration, continuous delivery, and model monitoring. **Key Responsibilities** - Build predictive models using statistical techniques and modern AI approaches (LLMs, neural nets). - Define and implement an ML Ops pipeline: data ingestion, transformation, training, deployment, and monitoring. - Collaborate with commercial, product, and risk stakeholders to embed ML insights into new products and customer segments. - Monitor model performance, troubleshoot issues, and iterate to improve accuracy. - Mentor junior data scientists and share best practices across the organization. - Document processes, model rationales, and deployment guidelines. **Required Skills** - 5+ years in data science with hands‑on ML model development and production deployment. - Expert knowledge of statistical modeling, predictive analytics, and deep learning. - Strong coding in Python, SQL, and frameworks like PyTorch or TensorFlow. - Experience with ML Ops tools (MLflow, Kubeflow, Vertex AI) and CI/CD pipelines. - Excellent communication with both technical and non‑technical stakeholders. - Familiarity with financial services, particularly lending and credit risk, is advantageous. **Required Education & Certifications** - Ph.D. in Mathematics, Physics, Statistics, AI, or a closely related field. - Relevant certifications in data science, machine learning, or software engineering are a plus.

London, United kingdom

Hybrid

Mid level

28-01-2026