Data Scientist (AI Specialization)

About the Role

Our client is seeking a highly analytical and skilled Data Scientist with a strong specialization in Artificial Intelligence to join their team in Glasgow . You will be responsible for leveraging advanced statistical and machine learning techniques to extract insights, build predictive models, and drive data-informed decision-making across the organization. This role offers the opportunity to work with diverse datasets, tackle complex business challenges, and contribute to the development of innovative AI-powered solutions. If you are passionate about data, possess strong quantitative skills, and are eager to apply AI to real-world problems, this is an excellent career opportunity.

Key Responsibilities

• Develop and deploy machine learning models for prediction, classification, and optimization tasks.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Design experiments and evaluate the performance of AI models.
• Collaborate with stakeholders to understand business needs and translate them into data science problems.
• Communicate findings and recommendations clearly through visualizations and reports.
• Stay up-to-date with the latest advancements in data science and AI methodologies.

Requirements

• Master's or PhD in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 2+ years of professional experience as a Data Scientist or in a similar analytical role.
• Strong proficiency in Python or R, and experience with data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Hands-on experience with machine learning algorithms and techniques.
• Familiarity with SQL and database querying.
• Excellent problem-solving skills and the ability to work effectively in a team environment.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous annual leave and company pension contributions.
• Access to training and development resources to enhance skills.
• A collaborative and supportive team culture focused on innovation.