Data Scientist

Data Scientist Central London (Hybrid On-Site) | 💼 Financial Services Contract Length: 6 months Day Rate: £580 per day INSIDE of IR35 Overview: My client, within Financial Services, are looking for a Data Scientist with a strong Data Engineering background to support the delivery of advanced data analytics solutions. This role will involve building scalable data pipelines, applying AI frameworks, and leveraging Azure-based analytics tools to generate meaningful insights while ensuring robust governance and data management practices. Key Responsibilities: • Design and develop scalable data models and pipelines using Azure Analytics, Databricks, and Synapse. • Apply AI frameworks across the Azure ecosystem to extract insights and drive business value. • Develop and optimise Power BI dashboards and reporting solutions to provide actionable insights. • Implement automation for data source collection, processing, and quality controls, ensuring data ingestion pipelines remain functional and reliable. • Work within the clients data mesh framework, ensuring data is sourced from agreed and governed locations. • Ensure best practices in data governance, avoiding uncontrolled data lake expansion. • Collaborate with cross-functional teams to integrate and operationalise analytical models. Essential Skills & Experience: • Proven experience as a Data Scientist with a background in Data Engineering. • Strong database development and management skills (IB/NCL, DBaaS). • Hands-on expertise with Azure Analytics, Databricks, Synapse, and Power BI. • Demonstrated experience in AI/ML frameworks applied within the Azure ecosystem. • Strong understanding of data automation, ingestion, and governance. • Experience working with or within a data mesh architecture. Skills • Azure DevOps Server • Databricks Products • Python (Programming Language) • Engineering • Azure Databricks • Data Science • Microsoft Power BI