Data Scientist

Data Scientist

📍 Central London (Hybrid On-Site) | 💼 Financial Services

Contract Length: 6 months

Day Rate: £600 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.