Data Scientist - AI Specialization

About the Role

Our client is seeking a talented and analytical Data Scientist with a specialization in Artificial Intelligence to join their innovative team in Leeds . You will be responsible for developing and deploying advanced AI models to solve complex business problems, drive insights, and create data-driven products. This fully remote role allows you to work from anywhere, collaborating with a global team of experts. You'll have the opportunity to work with diverse datasets and cutting-edge technologies, making a tangible impact on the business. If you are passionate about uncovering patterns and building intelligent systems, this is the role for you.

Key Responsibilities

• Develop, train, and evaluate sophisticated machine learning and deep learning models.
• Extract, clean, and preprocess large, complex datasets from various sources.
• Collaborate with stakeholders to define analytical problems and identify opportunities for AI application.
• Communicate complex findings and insights clearly to both technical and non-technical audiences.
• Build and maintain data pipelines and workflows for model deployment and monitoring.
• Conduct exploratory data analysis to uncover trends and patterns relevant to business objectives.

Requirements

• MSc or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
• Proven experience in applying AI/ML techniques to real-world problems.
• Proficiency in Python or R, along with relevant libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with SQL and working with large datasets.
• Excellent problem-solving and analytical skills, and ability to work independently in a remote environment .

Benefits

• Competitive salary and annual bonus.
• Comprehensive healthcare coverage, including medical, dental, and vision.
• Generous annual leave and flexible working hours.
• Access to advanced computing resources and datasets.
• Opportunities for professional growth and development, including conference attendance.
• A collaborative and supportive remote-first work culture.