Data Scientist - AI Specialization
- leeds, west yorkshire, LS1 1UR, United Kingdom
- Permanent·Hybrid
- Full time
- £75,000 - £75,000 Per Annum
Job Description
About the Role
Our client is seeking a talented Data Scientist with a specialization in Artificial Intelligence to join their analytics division in Leeds . You will play a key role in leveraging advanced statistical and machine learning techniques to extract valuable insights from complex datasets, build predictive models, and develop AI-driven solutions. This position is ideal for an individual passionate about uncovering patterns, solving challenging analytical problems, and contributing to data-informed decision-making across the organization. You will work within a supportive team environment that encourages innovation and continuous learning.
Key Responsibilities
- Develop and implement sophisticated statistical models and machine learning algorithms to address business challenges.
- Clean, process, and analyze large, complex datasets from various sources.
- Build, train, and evaluate predictive models for tasks such as classification, regression, and clustering.
- Communicate findings and recommendations clearly to both technical and non-technical stakeholders through visualizations and reports.
- Collaborate with engineering teams to deploy models into production environments.
Requirements
- Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
- Strong proficiency in data manipulation and analysis using tools like Python (pandas, NumPy) or R.
- Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
- Solid understanding of statistical modeling, hypothesis testing, and experimental design.
- Excellent problem-solving abilities and attention to detail.
Benefits
- Competitive annual salary and potential for bonuses.
- Hybrid work model offering a blend of office and remote flexibility.
- Comprehensive health and wellbeing benefits package.
- Opportunities for professional growth and access to training resources.
- Collaborative and data-driven work environment.


