Lead Data Scientist - Machine Learning

About the Role

Our client is seeking an experienced and innovative Lead Data Scientist specializing in Machine Learning to join their advanced analytics team in Norwich . This role is pivotal in driving data-driven decision-making across the organization, developing sophisticated ML models to solve complex business challenges. You will lead a team of data scientists, mentor junior members, and collaborate closely with business stakeholders to identify opportunities and translate insights into actionable strategies. Working with cutting-edge technologies and vast datasets, you will be at the forefront of leveraging AI and machine learning to gain competitive advantages and deliver tangible business value, contributing to a culture of innovation and analytical excellence.

Key Responsibilities

• Lead the design, development, and deployment of machine learning models and algorithms.
• Mentor and manage a team of data scientists, fostering their technical skills and project delivery.
• Collaborate with cross-functional teams to understand business needs and identify data science opportunities.
• Develop and implement strategies for data exploration, feature engineering, and model evaluation.
• Stay current with advancements in machine learning, artificial intelligence, and big data technologies.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of professional experience as a Data Scientist, with at least 2 years in a leadership or mentoring role.
• Strong expertise in machine learning algorithms (e.g., supervised, unsupervised, deep learning) and statistical modeling.
• Proficiency in programming languages like Python or R, and experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Excellent communication, problem-solving, and stakeholder management skills.

Benefits

• A highly competitive salary with performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holiday schedule.
• Opportunities for professional development, training, and conference attendance.
• A collaborative and innovative work environment in Norwich focused on data-driven success.