Senior Data Scientist - Machine Learning

About the Role

Our client is seeking a highly skilled Senior Data Scientist with expertise in Machine Learning to join their innovative research and development team in Oxford . This role is pivotal in developing and deploying advanced ML models that drive scientific discovery and enhance product capabilities. You will work closely with domain experts to tackle complex challenges, translate data into actionable insights, and contribute to the strategic direction of the company's data initiatives. This is a fantastic opportunity for an experienced data scientist to make a significant impact in a leading scientific organization based in Oxford .

Key Responsibilities

• Design, develop, and implement sophisticated machine learning models for predictive analytics, classification, and pattern recognition.
• Process, clean, and transform large, complex datasets to prepare them for modeling.
• Collaborate with research scientists and engineers to integrate ML models into research workflows and product development.
• Evaluate model performance, identify areas for improvement, and iterate on model design.
• Communicate complex findings and model insights to both technical and non-technical stakeholders.

Requirements

• M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience (5+ years) as a Data Scientist with a strong focus on machine learning and statistical modeling.
• Proficiency in programming languages such as Python or R, and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of data structures, algorithms, and database technologies.
• Excellent problem-solving abilities and experience working in a collaborative team environment in Oxford .

Benefits

• Highly competitive salary and bonus structure.
• Comprehensive health, dental, and vision insurance.
• Generous pension scheme and life assurance.
• Extensive opportunities for professional development and continuous learning.
• A stimulating and collaborative work environment in Oxford .