Data Scientist - AI Specialization

About the Role

Our client is seeking a skilled Data Scientist with a specialization in AI to join their analytics team in Edinburgh . You will be responsible for leveraging advanced statistical techniques and machine learning algorithms to extract actionable insights from complex datasets, driving strategic decision-making. This role offers the opportunity to work on diverse projects, from predictive modeling to pattern recognition, and to contribute to the development of AI-driven products and services. Join a collaborative environment where your analytical prowess and innovative thinking will be key to unlocking the value hidden within data.

Key Responsibilities

• Apply advanced statistical analysis and machine learning techniques to solve complex business problems.
• Develop and implement predictive models, classification algorithms, and clustering solutions.
• Clean, transform, and analyze large, disparate datasets to identify trends and patterns.
• Collaborate with cross-functional teams to define analytical requirements and deliver data-driven insights.
• Visualize and communicate findings effectively to both technical and non-technical stakeholders.
• Stay current with the latest advancements in data science and AI methodologies.

Requirements

• Master's or PhD in Statistics, Data Science, Computer Science, or a related quantitative field.
• Proven experience (3+ years) as a Data Scientist with a strong focus on AI/ML applications.
• Proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with SQL and working with large datasets in a data warehouse environment.
• Familiarity with data visualization tools (e.g., Tableau, Matplotlib) and techniques.
• Excellent problem-solving abilities and strong communication skills.

Benefits

• Competitive salary and performance-related bonus.
• Comprehensive health, dental, and vision insurance.
• Generous pension scheme and life assurance.
• Professional development opportunities, including training and conferences.
• A dynamic and collaborative hybrid work environment fostering innovation.
• Opportunity to work with cutting-edge data and AI technologies in Edinburgh .