Senior Data Scientist - FinTech

About the Role

Our client is actively seeking a talented Senior Data Scientist to join their innovative FinTech division in Manchester . In this role, you will be at the forefront of leveraging advanced analytics and machine learning techniques to drive product innovation and enhance customer experience. You will work closely with product managers, engineers, and business stakeholders to translate complex data into actionable strategies that impact the company's financial products and services. This position offers a challenging yet rewarding environment for a data enthusiast eager to apply their skills in a dynamic sector.

Key Responsibilities

• Develop and deploy machine learning models for predictive analytics, risk assessment, and fraud detection.
• Design and execute A/B tests and other experiments to evaluate product features and marketing strategies.
• Analyze large, complex datasets to identify patterns, trends, and actionable insights.
• Collaborate with engineering teams to integrate data science solutions into production systems.
• Communicate findings and recommendations clearly to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.

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 SQL.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.

Benefits

• Attractive salary package with potential for annual bonuses.
• On-site work environment with modern amenities in Manchester .
• Comprehensive health, dental, and vision insurance.
• Generous holiday allowance and paid sick leave.
• Access to ongoing training and conferences to foster professional growth.