Lead Data Scientist - Machine Learning

About the Role

Our client is seeking a visionary Lead Data Scientist to spearhead their machine learning initiatives in Birmingham . This senior role involves defining the strategy for data science projects, mentoring a team of data scientists, and developing sophisticated predictive models that drive business insights and product innovation. You will work closely with stakeholders across various departments to identify opportunities where advanced analytics and ML can provide significant value. This is an exciting opportunity to make a substantial impact on data-driven decision-making and shape the future of AI within the organization.

Key Responsibilities

• Lead the design, development, and deployment of end-to-end machine learning models for various business challenges.
• Mentor and guide a team of junior and senior data scientists, fostering a culture of innovation and technical excellence.
• Collaborate with product and engineering teams to integrate ML models into production systems.
• Conduct exploratory data analysis, feature engineering, and model validation to ensure accuracy and robustness.
• Stay abreast of the latest research and advancements in data science and ML, and champion their adoption.
• Present complex findings and recommendations clearly to both technical and non-technical audiences.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 7+ years of experience in data science , with a strong focus on machine learning and predictive modeling.
• Proven experience in leading data science teams and projects.
• Proficiency in programming languages such as Python or R, and libraries like TensorFlow, PyTorch, or scikit-learn.
• Expertise in statistical analysis, experimental design, and data mining techniques.
• Strong understanding of big data technologies and cloud platforms (e.g., Spark, Hadoop, AWS, Azure).

Benefits

• Highly competitive salary with bonus opportunities.
• Comprehensive medical, dental, and vision benefits package.
• Generous pension scheme.
• Continuous learning and development opportunities, including funding for certifications and courses.
• A stimulating work environment in Birmingham with a focus on cutting-edge technology.