Lead Data Scientist - Machine Learning

About the Role

Our client is seeking an accomplished Lead Data Scientist to spearhead their advanced analytics initiatives in Birmingham . This pivotal role involves leading a team of data scientists in developing and deploying sophisticated machine learning models that drive business insights and product innovation. You will be instrumental in defining the data science roadmap, mentoring team members, and collaborating with stakeholders across various departments to translate complex data into actionable strategies. This is a unique chance to shape the future of data-driven decision-making within a leading organization.

Key Responsibilities

• Lead and mentor a team of data scientists, fostering a culture of innovation and technical excellence.
• Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems.
• Extract, clean, and transform large, disparate datasets from various sources.
• Collaborate with product managers and engineers to integrate ML models into production systems and applications.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science and machine learning, identifying opportunities for application.

Requirements

• PhD or Master's degree in a quantitative field such as Computer Science, Statistics, or Mathematics.
• 5+ years of experience in data science, with at least 2 years in a lead or supervisory role.
• Proven track record of developing and deploying machine learning models in a production environment.
• Expertise in programming languages like Python or R, and libraries such as scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of statistical modeling, experimental design, and data mining techniques.
• Excellent communication, presentation, and interpersonal skills.

Benefits

• Highly competitive salary and executive bonus structure.
• Comprehensive private medical insurance and wellness programs.
• Generous pension scheme and life assurance.
• Professional development budget for conferences and training.
• Opportunity to work on impactful projects in Birmingham .