Lead Data Scientist - AI/ML

About the Role

Our client is seeking an innovative and experienced Lead Data Scientist with expertise in AI/ML to join their growing team in Sheffield . This role is instrumental in leveraging advanced data analytics to drive strategic decisions and develop cutting-edge solutions within the pharmaceutical sector. You will lead projects focused on machine learning model development, predictive analytics, and AI-driven insights, collaborating closely with domain experts and engineering teams. This hybrid role offers a blend of remote flexibility and essential on-site collaboration, allowing you to contribute to groundbreaking work in a stimulating environment.

Key Responsibilities

• Lead the development and implementation of advanced AI and Machine Learning models to solve complex business problems.
• Design and execute data science experiments, including feature engineering, model training, validation, and deployment.
• Collaborate with stakeholders across various departments to identify opportunities for data-driven solutions and innovation.
• Mentor junior data scientists, foster best practices in data science, and contribute to the team's technical growth.
• Communicate complex analytical findings and insights clearly to both technical and non-technical audiences.

Requirements

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 7 years of professional experience in data science, with a strong focus on AI/ML model development and deployment.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent leadership, problem-solving, and communication skills, with experience in hybrid work environments.

Benefits

• A highly competitive salary and performance-based bonus structure.
• Comprehensive private health, dental, and vision insurance.
• Generous pension scheme and life assurance coverage.
• Significant opportunities for professional development, attending conferences, and pursuing research.
• A flexible hybrid working model enabling a productive work-life balance in Sheffield .