Data Scientist

Uncapped; London; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

A leading company in the funding space seeks a Data Scientist to develop and implement advanced AI and machine learning models. The role emphasizes model development and ML Ops leadership, offering a chance to have a significant impact across the business, especially in credit risk management.

Benefits

Unlimited holiday

Competitive compensation plan

Personal growth fund

Monthly recognition and awards

Qualifications

• 5+ years of experience in data science with hands-on ML model development.
• Expert in both traditional and modern ML methods including LLMs.
• Prior experience in a high-growth environment.

Responsibilities

• Develop and implement AI models to tackle business challenges.
• Define and execute ML Ops framework for model lifecycle management.
• Collaborate with teams to align ML solutions with business goals.

Skills

Machine Learning

Statistical Methods

Python

SQL

Education

PhD / Master's in Statistics, Machine Learning or AI

Tools

Pytorch

Tensorflow

Scikit-learn

Job description

Hybrid role based in London

Role Overview

The Data Scientist role will be responsible for designing, developing, and implementing advanced AI and machine learning models, utilizing both traditional and emerging approaches to address complex business challenges. This position is well-suited for with a PhD / Masters or equivalent in Statistics, Machine Learning, or Artificial Intelligence with a passion for solving real-world problems and hands-on experience of using both traditional ML and cutting-edge Large Language Models in business settings. This is a high-impact role that blends hands-on model development with practical leadership in scaling ML/AI systems across the business.

This position reports to the Chief Risk Officer and collaborates closely with engineering, product, and risk teams to ensure robust and impactful solutions.

About Uncapped

Founded in 2019, Uncapped is the fastest, most affordable way for growing online businesses to fund marketing and inventory. The company was born out of frustration with the limited financing options available for UK and European entrepreneurs to finance growth.

Uncapped provides business advances of between £10k and £5m without credit checks, personal guarantees, warrants, equity, or compounding interest -- and makes money by charging a low flat fee that is paid back from future sales revenue. Uncapped has raised $120 million from investors including Lakestar, Mouro Capital, Global Founders Capital, White Star Capital, Seedcamp, and All Iron Ventures.

What will you do ️

• Model Development: Apply advanced machine learning and statistical methods to develop and implement models across diverse use cases, including credit, commercial, product, and operations, with a significant emphasis on credit risk.
• ML Ops Leadership: Define and execute an ML Ops framework to streamline model lifecycle management, including data ingestion, data transformation, model training, deployment, and monitoring.
• Collaborative Problem Solving: Work with commercial and product teams to align ML solutions with business goals, ensuring risk considerations are integrated into new products and customer segments.
• Performance Tracking: Continuously monitor model performance and develop strategies to enhance accuracy and relevance, incorporating lessons learned into future iterations.
• Tooling & Technology: Evaluate and implement best-in-class tools and platforms for ML Ops, ensuring scalability and compliance with industry standards.

Who you are

• Educational Background: PhD / Master's or equivalent in Statistics, Machine Learning or Artificial Intelligence.
• Deep Experience: 5+ years of experience in data science, including hands-on ML model development and production deployment.
• ML & Statistical Expertise: Expert in traditional machine learning and statistical methods (e.g., classification, regression, time series models), with deep expertise in modern deep learning approaches including transformers, attention mechanisms, and LSTMs, as well as solid experience working with LLMs and associated frameworks.
• High-growth Experience: Prior experience working in high-growth environments, ideally start-ups or scale-ups
• Coding Skills: Proficient in Python, SQL, and one of Pytorch, Tensorflow, Scikit-learn, with daily experience in writing, debugging, and optimising code.
• ML Ops Knowledge: Familiarity with tools like MLflow, Kubeflow, or Vertex AI, and experience implementing CI/CD pipelines for machine learning.
• Understanding of Financial Services: Financial Services understanding is a plus, ideally in a lending environment.
• Strong Communicator: Can engage both technical and non-technical stakeholders.

What we offer

At Uncapped, our people make us successful. We are a start-up with big goals, and we work hard, so we want to give everyone the benefits they really want. We are continually adding to this list as new people join -- here are some of the things you can expect:

• Unlimited holiday: we believe that well-rested and happy people make the best employees
• Competitive compensation plan
• Personal growth fund: Raise your game from great to spectacular
• Monthly recognition and awards: Celebrate wins big and small
• The opportunity to make a big impact every day on the lives of European and US entrepreneurs.
• Workspaces in Warsaw, London and Atlanta

We can only consider applications from candidates who are eligible to work in the UK without requiring visa sponsorship.