Data Scientist - AI Specialization

About the Role

Our client is seeking a talented Data Scientist with a specialization in AI to join their innovative team in Leeds . In this role, you will leverage your expertise in data analysis, statistical modeling, and machine learning to extract valuable insights and build predictive models that solve complex business challenges. You will work with diverse datasets and cutting-edge tools, contributing directly to the development of intelligent systems and data-driven strategies. This is an exciting opportunity to apply your skills in a collaborative environment and make a significant impact on business outcomes.

Key Responsibilities

• Develop and implement machine learning models for prediction, classification, and clustering.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Design and execute experiments to test hypotheses and evaluate model performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Build data pipelines and preprocessing workflows for efficient model training.
• Stay current with the latest advancements in data science and artificial intelligence.

Requirements

• Master's or PhD degree in Statistics, Computer Science, Mathematics, or a related field.
• Proven experience as a Data Scientist, with a strong focus on AI/ML applications.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools and techniques.
• Strong analytical and problem-solving skills.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Flexible working hours and hybrid work model.
• Opportunities for professional development and attending industry conferences.
• Collaborative and stimulating work environment in Leeds .
• Generous pension scheme and paid time off.