Senior Data Scientist - Machine Learning

About the Role

Our client is seeking a highly accomplished Senior Data Scientist with extensive experience in machine learning to join their dedicated analytics team in Leeds . In this role, you will be instrumental in developing and deploying sophisticated ML models that drive key business decisions and product innovation. You will work with large, complex datasets, applying advanced statistical and algorithmic techniques to uncover actionable insights and create predictive solutions. This is an exciting opportunity to contribute to impactful projects within a collaborative, data-driven environment, pushing the boundaries of what's possible with data science and AI.

Key Responsibilities

• Design, develop, and implement advanced machine learning models for predictive analytics and pattern recognition.
• Clean, process, and analyze large, complex datasets from various sources.
• Collaborate with stakeholders to define business problems and translate them into data science projects.
• Evaluate and validate model performance, iteratively refining algorithms for optimal results.
• Communicate complex findings and insights clearly and effectively to both technical and non-technical audiences.
• Stay abreast of the latest research and advancements in machine learning and data science.

Requirements

• 5+ years of professional experience as a Data Scientist or in a related quantitative role.
• Proven expertise in machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Strong programming skills in Python or R, including libraries like TensorFlow, PyTorch, scikit-learn, pandas.
• Experience with data manipulation and querying languages (e.g., SQL).
• Solid understanding of statistical modeling and experimental design.
• Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics) is preferred.

Benefits

• Competitive salary and bonus structure.
• Comprehensive health, dental, and vision insurance.
• Pension scheme with employer contributions.
• Generous annual leave allowance.
• Opportunities for professional growth and attending industry conferences.