Senior Data Scientist - Fintech

About the Role

Our client is looking for a talented Senior Data Scientist to join their innovative financial technology team in Sunderland . In this role, you will leverage advanced statistical and machine learning techniques to extract valuable insights from large datasets, driving product innovation and optimizing business strategies. You will work closely with cross-functional teams, including engineers, product managers, and business analysts, to build data-driven solutions that enhance customer experience and improve operational efficiency. This is a fantastic opportunity to contribute to cutting-edge projects in the rapidly evolving fintech sector.

Key Responsibilities

• Design, develop, and implement machine learning models and algorithms for predictive analytics, fraud detection, and risk management.
• Extract, clean, and transform large, complex datasets from various sources.
• Collaborate with engineers to deploy models into production environments.
• Conduct exploratory data analysis to identify trends and opportunities for data-driven improvements.
• Communicate complex findings and insights to both technical and non-technical stakeholders.
• Mentor junior data scientists and contribute to the team's technical growth.

Requirements

• Master's or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a strong focus on financial applications.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent problem-solving skills and the ability to translate business problems into data science solutions.

Benefits

• Competitive salary and performance-based bonuses.
• Hybrid working model promoting work-life balance.
• Comprehensive health, dental, and vision insurance.
• Generous pension scheme.
• Access to training and development resources for continuous learning.