Lead Data Scientist - Banking

About the Role

Our client is seeking an innovative Lead Data Scientist to spearhead their advanced analytics initiatives within the Edinburgh office. This critical role involves leveraging vast datasets to extract actionable insights, build predictive models, and drive data-driven decision-making across the organization. You will lead a team of data scientists, mentor junior members, and collaborate with business stakeholders to translate complex analytical findings into tangible business value for the banking and finance sector . This is a fantastic opportunity to shape the future of data science within a forward-thinking financial institution.

Key Responsibilities

• Lead the development and deployment of machine learning models for applications such as fraud detection, risk assessment, and customer segmentation.
• Design and implement advanced statistical analysis and data mining techniques to uncover trends and patterns in large datasets.
• Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
• Collaborate with IT and business units to define data requirements, ensure data quality, and integrate analytical solutions.
• Communicate complex analytical results and recommendations clearly to both technical and non-technical audiences, including senior management.
• Stay at the forefront of data science and machine learning advancements, evaluating and recommending new tools and methodologies.

Requirements

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Extensive experience (5+ years) in data science, with a proven track record of leading complex projects and teams.
• Proficiency in programming languages such as Python or R, and expertise in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Excellent understanding of statistical modeling, machine learning algorithms, and experimental design.
• Strong leadership, communication, and problem-solving skills to effectively work in Edinburgh .

Benefits

• Competitive salary with performance bonuses and stock options.
• Hybrid work model offering flexibility between office and remote work.
• Comprehensive health, dental, and vision insurance.
• Generous pension contributions and life insurance.
• Access to cutting-edge technology and extensive training opportunities.