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