Summary: The Data Scientist role focuses on leveraging Snowflake, Power BI, SQL, R, and AzureML to design data pipelines, analyze large datasets, and develop interactive dashboards. The position requires collaboration with business teams to translate data insights into actionable strategies. This is a remote position available for a one-year contract, with flexible working hours aligned to European time zones.

Key Responsibilities:

• Design and optimize data pipelines using Snowflake for efficient data processing and management.
• Analyze large datasets using machine learning, statistical techniques, and modelling to uncover trends, patterns, and insights.
• Collaborate with business teams to translate data insights into meaningful actions that support customer development and growth.
• Develop and maintain interactive Power BI dashboards to track KPIs, visualize trends, and provide insights to stakeholders.
• Leverage language models and other AI-driven techniques to enhance predictive analytics and decision-making processes.
• Ensure the quality, integrity, and security of data systems, with attention to scalability and efficiency.
• This is a European time shift role, although the active hours are somewhat flexible.

Key Skills:

• Experience in data analysis, business intelligence, or data science, particularly in the context of large datasets.
• Strong expertise in Snowflake, SQL, and data manipulation.
• Proficiency in statistical modelling, machine learning, and data analysis using Python, R, or similar tools.
• Experience using Power BI to build dashboards, data models, and reports that inform business decisions.
• Familiarity with cloud-based tools such as Azure ML, Azure Data Lake, and Databricks.
• Ability to communicate complex technical concepts clearly and concisely to non-technical stakeholders.
• Experience with ServiceNow is a plus.

Salary (Rate): £450

City: London

Country: UK

Working Arrangements: remote

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT