Lead Data Scientist

About the Role

Our client is seeking an accomplished Lead Data Scientist to spearhead their data initiatives in Birmingham . This leadership role will involve defining the strategic direction for data science projects, mentoring a team of talented data scientists, and collaborating closely with business leaders to drive data-informed decision-making. You will be instrumental in developing sophisticated predictive models, machine learning algorithms, and analytical solutions that address complex business challenges. This position offers a compelling opportunity to shape the future of data science within the organisation, balancing focused on-site collaboration with the flexibility of hybrid working .

Key Responsibilities

• Lead the design, development, and implementation of advanced statistical models and machine learning algorithms .
• Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
• Collaborate with product management and engineering teams to integrate data science solutions into production environments.
• Translate complex business problems into data-driven analytical frameworks and actionable insights.
• Present findings and recommendations to senior management and stakeholders in a clear and concise manner.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, and advocate for their adoption.

Requirements

• Advanced degree (M.S. or Ph.D.) in a quantitative field such as Computer Science, Statistics, or Mathematics.
• Proven experience leading data science projects, with a strong track record of delivering impactful results.
• Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Deep understanding of data modeling , statistical analysis, and machine learning techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong communication, presentation, and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical audiences.

Benefits

• Highly competitive salary with performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Pension scheme with employer contributions.
• Professional development budget for courses and conferences.
• Access to state-of-the-art tools and technologies for data analysis.