Hybrid Data Scientist

at Uncapped

• Job title: Data Scientist
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Python, PyTorch, SQL, Tensorflow
• Location requirements: Hybrid, London, United Kingdom

About the role

• Data Scientist responsible for implementing AI and ML solutions for fintech company. Collaborating with teams to meet business goals and enhance performance in risk management.

Responsibilities

• 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.

Requirements

• Educational Background: PhD in Mathematics, Physics, Statistics, AI or other related subjects.
• Deep Experience: 5+ years of experience in data science, including hands-on ML model development and production deployment.
• ML & Statistical Expertise: Expert in designing, training and tuning predictive models using both established statistical methods and modern AI techniques, with practical experience in deploying models to solve complex, real-world problems.
• 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 or Tensorflow, with 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

Benefits

• 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