Lead Data Scientist - Fintech

About the Role

Our client is seeking an accomplished and visionary Lead Data Scientist to spearhead their data initiatives within the rapidly evolving Fintech space, working remotely from anywhere in the UK. This senior position involves designing and implementing cutting-edge machine learning models, advanced analytics, and data-driven strategies to optimize financial products and customer experiences. You will lead a team of talented data scientists, collaborate closely with engineering and product teams, and drive innovation from ideation through to production deployment. This is a unique opportunity to shape the future of finance through data science.

Key Responsibilities

• Lead the design, development, and deployment of sophisticated machine learning models and AI solutions for financial applications.
• Develop and implement robust data pipelines and analytical frameworks to extract actionable insights from large, complex datasets.
• Mentor and manage a team of data scientists, fostering a collaborative and high-performing environment.
• Partner with product managers and engineers to translate business requirements into data science solutions and integrate them into production systems.
• Conduct advanced statistical analysis, A/B testing, and experimental design to evaluate model performance and business impact.
• Stay at the forefront of data science and machine learning research, identifying and championing new technologies and methodologies.

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 7+ years of professional experience in data science, with significant experience in machine learning and statistical modeling.
• Proven experience leading data science teams and managing projects from conception to completion.
• Expertise in programming languages such as Python or R, and proficiency with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences.

Benefits

• Highly competitive salary and equity options package.
• Comprehensive health, dental, and vision insurance plans.
• Generous remote work stipend and home office setup allowance.
• Significant opportunities for professional growth, conference attendance, and continuous learning.
• Flexible working hours and a culture that values work-life balance and autonomy.