Senior Data Scientist - Fintech

About the Role

Our client is seeking a highly skilled Senior Data Scientist to join their innovative financial technology division based in Leeds . This pivotal role involves leveraging advanced analytical techniques and machine learning to extract actionable insights from vast datasets, driving product development and improving customer experiences. You will work at the intersection of finance and technology, collaborating with engineers, product managers, and business strategists to build data-driven solutions that address complex financial challenges. This is a unique opportunity to shape the future of fintech through data science, contributing significantly to the company's strategic objectives from a Leeds hub.

Key Responsibilities

• Design, develop, and deploy sophisticated machine learning models for predictive analytics, risk assessment, and fraud detection.
• Analyze large, complex datasets to identify trends, patterns, and opportunities for business improvement.
• Collaborate with engineering teams to integrate data science solutions into production systems.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to the team's knowledge sharing and best practices.
• Stay current with the latest advancements in data science, machine learning, and AI.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science or machine learning roles.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and big data technologies (e.g., Spark, Hadoop).
• Demonstrated ability to apply statistical analysis and machine learning techniques to real-world problems.
• Excellent problem-solving skills and experience working in an agile development environment.

Benefits

• Attractive salary with performance-based incentives and stock options.
• Flexible remote working options, supporting a healthy work-life balance.
• Comprehensive private medical, dental, and vision insurance.
• Generous holiday allowance and paid sick leave.
• Opportunities for continuous learning, attending conferences, and accessing cutting-edge research.