Data Scientist

Data ScientistCentral London (Hybrid On-Site) | 💼 Financial ServicesContract Length: 6 monthsDay Rate: £580 per day INSIDE of IR35Overview: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.SkillsAzure DevOps ServerDatabricks ProductsPython (Programming Language)EngineeringAzure DatabricksData ScienceMicrosoft Power BI