Senior Data Scientist

Our client is seeking an experienced Senior Data Scientist to join a dynamic Analytics team focused on delivering innovative data-driven solutions that create measurable business value. This is an exciting opportunity for a highly analytical professional who enjoys solving complex business challenges through advanced analytics machine learning and data science.

Key Responsibilities

• Develop and implement advanced analytics and machine learning solutions to support strategic business decisions.
• Work closely with stakeholders to understand business requirements and translate them into data-driven solutions.
• Analyse large and complex datasets to uncover valuable insights.
• Design build validate and maintain predictive models.
• Perform experimental design and hypothesis testing to validate analytical findings.
• Present technical findings in a clear and meaningful way to both technical and non-technical stakeholders.
• Support the development and enhancement of analytics infrastructure databases and reporting solutions.
• Retrain and optimise existing machine learning models where required.
• Assist with migrating existing on-premises analytics solutions to cloud-based platforms.
• Build reports and monitoring solutions to track model performance and stability.
• Promote the adoption of analytics and data science across business units.

Minimum Requirements

• BSc Degree in Computer Science Data Science Engineering Mathematics Statistics or a related field.
• Honours or Masters Degree will be advantageous.
• Relevant technical certifications are beneficial.
• Minimum of 5 years experience in Data Science or Analytics.
• Strong experience with Python SQL Server Power BI Excel and PowerPoint.
• Experience delivering analytics projects from concept through implementation.
• Azure experience will be advantageous.
• Experience within Financial Services will be advantageous
• Advanced statistical analysis and machine learning.

Only shortlisted candidates will be contacted.
Submit your CV to or call .
Visit our website for more exciting career opportunities: will only be conducted with short listed candidates. Should you not hear from us within 4 days please consider your application unsuccessful.