Lead Data Scientist

About the Role

Our client is seeking an accomplished and visionary Lead Data Scientist to spearhead their data analytics initiatives in Birmingham . You will be responsible for building and leading a team of data scientists, driving the development of advanced analytical models, and translating complex data into actionable business insights. This is a strategic role where you will define the data science roadmap and collaborate with stakeholders across the organization to unlock the full potential of data. The ideal candidate possesses strong leadership skills, a deep understanding of statistical modeling and machine learning, and a passion for innovation in the field of data science. Join a company committed to data-driven decision-making and a culture that champions research and development.

Key Responsibilities

• Lead, mentor, and manage a team of data scientists, fostering a collaborative and high-performing environment.
• Develop and implement cutting-edge machine learning models and statistical analyses to solve complex business problems.
• Define and own the data science strategy and roadmap, aligning it with overall business objectives.
• Collaborate with engineering and product teams to integrate predictive models into production systems.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
• Stay abreast of the latest advancements in AI, machine learning, and data science methodologies.

Requirements

• Advanced degree (Master's or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
• 7+ years of experience in data science, with at least 2 years in a leadership or management role.
• Demonstrated expertise in machine learning algorithms, statistical modeling, and experimental design.
• Proficiency in programming languages like Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop).
• Excellent communication, presentation, and interpersonal skills.

Benefits

• Highly competitive salary and bonus structure.
• Comprehensive health, dental, and vision insurance.
• Private pension plan with generous company contributions.
• Opportunity to lead impactful data science projects.
• Professional development budget for conferences and training.
• Vibrant office environment in a key Birmingham location.