AI Data Scientist

About the Role

Our client is seeking a highly analytical AI Data Scientist to join their dedicated team in Sheffield . This role focuses on leveraging advanced statistical techniques and machine learning algorithms to extract insights from complex datasets, driving data-informed decision-making. You will work on challenging projects, building predictive models, developing algorithms, and collaborating with engineering teams to implement data-driven solutions. This is a fantastic opportunity to apply your expertise in AI & Emerging Technologies to solve real-world business problems and contribute to significant technological advancements. You will be at the forefront of using data to unlock new opportunities and drive innovation.

Key Responsibilities

• Develop and implement predictive models and machine learning algorithms.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Design and conduct experiments to test hypotheses and evaluate model performance.
• Collaborate with domain experts and engineers to integrate data science solutions into products and processes.
• Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
• Stay current with advancements in data science, machine learning, and AI.

Requirements

• Master's or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
• 2+ years of professional experience as a Data Scientist or in a similar analytical role.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools and techniques.
• Excellent problem-solving skills and ability to work with large datasets.

Benefits

• Competitive salary and performance-based bonuses.
• Opportunity to work on impactful data science projects.
• Comprehensive health, dental, and vision coverage.
• Generous paid time off and retirement savings plan.
• Professional development opportunities and access to training resources.