Senior Data Scientist - Machine Learning

About the Role

Our client is seeking a highly skilled Senior Data Scientist with a specialization in Machine Learning to join their innovative research team in Coventry . This role is critical for developing and deploying advanced predictive models and analytical solutions that drive strategic decision-making across the organization. You will leverage large, complex datasets to uncover actionable insights and build intelligent systems that enhance product performance and customer experience. The successful candidate will be passionate about applying cutting-edge ML techniques to real-world problems and thrive in a data-rich environment dedicated to scientific advancement and technological innovation.

Key Responsibilities

• Develop, implement, and validate sophisticated machine learning models for predictive analytics and pattern recognition.
• Extract, clean, and transform large datasets from various sources to prepare them for analysis and modeling.
• Collaborate with engineering and product teams to integrate ML models into production systems and workflows.
• Design and conduct experiments to test hypotheses and evaluate the performance of new algorithms and approaches.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical stakeholders.

Requirements

• Master's or PhD in Computer Science, Statistics, Data Science, or a related quantitative field.
• 5+ years of experience in data science, with a strong focus on developing and deploying machine learning models in a production environment.
• Proficiency in programming languages such as Python or R, and expertise with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of statistical modeling, data mining, and algorithm development.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).

Benefits

• Highly competitive salary with annual performance bonuses.
• Comprehensive private medical insurance and wellness programs.
• Generous pension scheme and long-term incentive plans.
• Opportunities for advanced training and conference attendance.
• A dynamic and collaborative work environment in a leading research institution.