Lead Data Scientist - Machine Learning

About the Role

Our client is seeking an accomplished Lead Data Scientist to spearhead their machine learning initiatives in Coventry . This leadership position is critical for driving data-driven decision-making across the organization by developing advanced analytical models and predictive solutions. You will guide a team of data scientists, mentor junior members, and collaborate with stakeholders from various departments to identify opportunities where AI and ML can create significant business value. The successful candidate will possess a strong blend of technical expertise, strategic thinking, and leadership capabilities, shaping the future of data science within our client's innovative environment.

Key Responsibilities

• Lead the design, development, and deployment of sophisticated machine learning models and algorithms to solve complex business problems.
• Mentor and manage a team of data scientists, fostering a collaborative and high-performing environment.
• Identify new opportunities for leveraging data science and machine learning to drive business growth and operational efficiency.
• Collaborate with product managers, engineers, and business analysts to translate requirements into data science solutions.
• Present complex findings and insights to both technical and non-technical audiences effectively.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, championing their adoption.

Requirements

• Advanced degree (M.S. or Ph.D.) in a quantitative field such as Data Science, Computer Science, Statistics, or Mathematics.
• Demonstrable experience leading data science projects from conception to production deployment.
• Expertise in machine learning techniques, statistical modeling, and predictive analytics.
• Proficiency in programming languages commonly used in data science, such as Python or R, and associated libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Strong communication and interpersonal skills, with the ability to influence and lead effectively.

Benefits

• Highly competitive salary and bonus structure.
• Comprehensive private healthcare and dental coverage.
• Generous annual leave allowance and company holidays.
• Access to cutting-edge technology and research resources.
• Opportunities for career advancement and leadership development within a growing company.