Harvey Nash

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst/Data Annotator in London for a 12+ month contract, paying competitive rates. Requires 2+ years annotating datasets for AI/ML, experience with annotation tools, and knowledge of Python and AWS. Hybrid work model.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
216
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🗓️ - Date
January 11, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Python #Data Science #Programming #AWS (Amazon Web Services) #Datasets #ML (Machine Learning) #Data Analysis #Data Processing #AI (Artificial Intelligence) #Cloud #Data Quality #Spark (Apache Spark) #PySpark
Role description
Job Title: Data Analyst / Data Annotator Location: Angel Building, The, 407 St John St, London EC1V 4EX, United Kingdom Mode of working: Hybrid (2 to 3 Days in the Office) Duration: 12+ Months contract. About the Role: We are looking for a Data Annotator / Data Analyst to support the development and evaluation of AI and machine learning solutions. In this role, you will be responsible for annotating datasets, ensuring data quality, and collaborating with data scientists and engineers to improve model performance. Key Responsibilities • Annotate and label datasets for various AI and machine learning use cases • Work closely with data scientists and ML engineers to refine annotation strategies • Use annotation tools (e.g., Label Studio or similar) to manage and review datasets • Perform basic data processing and validation using Python and related technologies Qualifications • 2+ years of experience annotating datasets for AI or machine learning problems • Hands-on experience with annotation tools (e.g.,Label Studio or similar platforms) • Some knowledge of programming languages such as Python is preferred • Experience with data processing technologies such as PySpark is preferred • Familiarity with AWS • services and cloud-based data workflows is preferred