Data Scientist - AI Specialization
- sunderland, tyne and wear, SR1 1AA, United Kingdom
- Permanent·On-site
- Full time
- £65,000 - £65,000 Per Annum
Job Description
About the Role
Our client is seeking a highly analytical and innovative Data Scientist with a specialization in Artificial Intelligence to join their growing team in Sunderland . You will play a crucial role in extracting valuable insights from complex datasets, developing predictive models, and contributing to the creation of intelligent systems that drive business decisions. This is an exciting opportunity to work on challenging problems, collaborate with a team of experts, and make a tangible impact within a company committed to leveraging data and AI for growth and innovation, right here in the heart of Sunderland .
Key Responsibilities
- Analyze large, complex datasets to identify trends, patterns, and actionable insights.
- Develop, train, and evaluate machine learning models for prediction, classification, and anomaly detection.
- Collaborate with cross-functional teams to define project objectives and data requirements.
- Communicate findings and recommendations clearly through visualizations and presentations to both technical and non-technical audiences.
- Research and implement new data science and AI methodologies to improve analytical capabilities.
Requirements
- Master's or PhD degree in Data Science, Statistics, Computer Science, or a related quantitative field.
- Proven experience as a Data Scientist with a strong focus on AI and machine learning techniques.
- Proficiency in programming languages like Python or R, and experience with data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with data visualization tools and techniques.
- Excellent problem-solving skills and a keen eye for detail in data analysis.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and pension scheme.
- Opportunities for professional development and attending industry conferences.
- A supportive team environment fostering collaboration and continuous learning in Sunderland .


