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Data Scientist

This role is for a Data Scientist in London (Hybrid) for 8 months at £285/day. Key skills required include Snowflake, SQL, Python/R, and Power BI. A Bachelor's in a related field is necessary, along with experience in data analysis and machine learning.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
285
🗓️ - Date discovered
February 18, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Inside IR35
🔒 - Security clearance
Unknown
📍 - Location detailed
Greater London, England, United Kingdom
🧠 - Skills detailed
#SQL (Structured Query Language) #Data Manipulation #Data Processing #Databricks #Mathematics #Data Analysis #Data Lake #R #ML (Machine Learning) #Security #Datasets #Snowflake #BI (Business Intelligence) #Data Science #Data Pipeline #Cloud #Scala #Computer Science #Python #Azure #AI (Artificial Intelligence) #Microsoft Power BI
Role description
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Job Title: Data Scientist

Client Location: London(Hybrid)

Starting: Asap

Pay Rate: £285 per day(PAYE Inside IR35)

Duration: 8 months(until 31/12/2025)

Responsibilities:
• Design and optimize data pipelines using Snowflake for efficient data processing and management.
• Analyze large datasets using machine learning, statistical techniques, and modeling 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.

Required 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 modeling, 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.

Education: Bachelor's degree in Mathematics, Computer Science, Engineering, or a related field.

This is a European time shift role, although the active hours are somewhat flexible.

Client Description:

Our Client is an American software company that offers businesses cloud computing solutions to manage digital workflows. Their innovations have streamlined working processes for 80% of the Fortune 500 alongside over 5000 other companies around the world including American Express, Deloitte, Experian, MGM, the NHS, Vodafone, and Wayfair.

Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.