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Data Scientist - Analytics & AI - Global Tech £74K

This role is for a Data Scientist - Analytics & AI with a 9-month contract in London, offering £74K. Requires expertise in Snowflake, SQL, Power BI, machine learning, and cloud platforms. A Bachelor's in Computer Science or related field is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
336
🗓️ - Date discovered
February 15, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Fixed Term
🔒 - Security clearance
Unknown
📍 - Location detailed
London Area, United Kingdom
🧠 - Skills detailed
#Data Engineering #Databricks #Scala #Microsoft Power BI #Strategy #Data Pipeline #ML (Machine Learning) #Data Integrity #Data Visualisation #Snowflake #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #BI (Business Intelligence) #Datasets #Computer Science #Cloud #AI (Artificial Intelligence) #Azure #Azure Databricks #Data Science #Data Analysis
Role description
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Are you passionate about transforming data into actionable insights? Join our client, who is a Global Technology Company in London, as a Senior Data Engineer and drive key projects using cutting-edge analytics and AI tools.

What’s in it for you:
• Competitive salary of up to £74,000 DOE.
• 9-month contract - Inside IR35 - PAYE (Paid weekly) with a dynamic, innovative team.
• Hybrid working model—flexibility to work from home and the office - 40 minutes from Central London, state-of-the-art offices.
• Work on cutting-edge AI and data analytics projects that drive business strategy.

What You Bring:
• Strong experience in data analysis, Snowflake, SQL, and Power BI.
• Familiarity with machine learning and cloud platforms (Azure, Databricks).
• Excellent communication skills to present data insights to non-technical teams.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Key Responsibilities:
• Design and optimise data pipelines using Snowflake.
• Apply machine learning techniques to extract insights from large datasets.
• Build and maintain Power BI dashboards for data visualisation.
• Collaborate with business teams to implement data-driven strategies.
• Ensure data integrity and scalability across systems.

Ready to make an impact? Apply now!