Data Scientist - AI Focus

About the Role

Our client is looking for a skilled Data Scientist with a strong focus on Artificial Intelligence to join their innovative team in Sunderland . In this role, you will leverage vast datasets to develop predictive models, extract actionable insights, and drive data-informed decision-making across the organization. You will work on challenging problems that require advanced analytical techniques and a deep understanding of machine learning algorithms. This is an exciting opportunity to contribute to strategic projects and utilize cutting-edge AI tools in a collaborative and forward-thinking environment.

Key Responsibilities

• Analyze large, complex datasets to identify trends and patterns relevant to AI applications.
• Develop, train, and deploy machine learning models for tasks such as prediction, classification, and clustering.
• Design and conduct A/B tests and experiments to evaluate model performance and business impact.
• Collaborate with cross-functional teams to define project requirements and deliver data-driven solutions.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
• Contribute to the development of the company's data science and AI strategy.

Requirements

• Master's degree or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
• 3+ years of experience as a Data Scientist, with a strong emphasis on AI/ML projects.
• Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools and techniques.
• Strong analytical and problem-solving skills.

Benefits

• Competitive salary and performance incentives.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and continuous learning.
• Hybrid work model offering a balance between office and remote work.
• Collaborative and innovative team culture focused on data-driven innovation.