Data Scientist - Financial Services

About the Role

Our client is seeking a talented Data Scientist to join their innovative financial services team in Leeds . This hybrid role will involve leveraging cutting-edge machine learning techniques and advanced analytics to solve complex business problems, driving data-informed decision-making. You will work on challenging projects that span fraud detection, risk management, customer behavior analysis, and algorithmic trading strategies. This is a fantastic opportunity to apply your expertise in a collaborative environment, contributing to the strategic direction of our financial products and services, with flexibility to balance office and remote work.

Key Responsibilities

• Develop, implement, and deploy predictive models using machine learning and statistical techniques.
• Analyze large, complex datasets to identify patterns, trends, and actionable insights.
• Collaborate with business stakeholders to define problems and translate them into data science solutions.
• Design and conduct A/B tests and experiments to evaluate model performance and business impact.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science and machine learning to continuously improve methodologies.

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 3-5 years of experience as a Data Scientist or in a similar analytical role within the financial services industry .
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with SQL and working with large datasets and databases.
• Excellent problem-solving abilities and a proactive approach to identifying opportunities for data-driven innovation.

Benefits

• Competitive salary and annual bonus potential.
• Comprehensive medical, dental, and vision insurance.
• Generous pension scheme.
• Support for professional development, including conferences and training.
• Hybrid work arrangement providing flexibility and work-life balance.