Data Scientist - AI Specialization

About the Role

Our client is seeking a highly analytical Data Scientist with a specialization in AI & Emerging Technologies to join their team in Leeds . You will be instrumental in uncovering data-driven insights and developing predictive models that enhance business operations and strategic decision-making. Working within a collaborative analytics division, you'll leverage advanced statistical techniques and machine learning to solve complex problems. This role offers a fantastic opportunity to apply your expertise in data science to impactful projects within a forward-thinking company.

Key Responsibilities

• Analyze large datasets to identify trends, patterns, and actionable insights relevant to business objectives.
• Develop, validate, and deploy statistical and machine learning models for prediction and classification tasks.
• Design and conduct A/B tests and experiments to evaluate model performance and business impact.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
• Collaborate with engineering teams to implement data-driven solutions and ensure data quality.
• Contribute to the development of data science best practices and methodologies.

Requirements

• Master's or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative field.
• Proven experience as a Data Scientist with a strong focus on AI/ML techniques.
• Proficiency in Python or R, including libraries for data manipulation, analysis, and machine learning.
• Experience with SQL for data extraction and manipulation.
• Solid understanding of statistical modeling, hypothesis testing, and experimental design.
• Ability to work effectively in a hybrid team environment in Leeds .

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive healthcare coverage including dental and vision.
• Pension scheme with generous employer contributions.
• Generous holiday allowance.
• Opportunities for professional development and attending industry conferences.
• Access to cutting-edge tools and technologies for data analysis and modeling.