Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 5-7 years of experience, focusing on OCR and LLM applications in AWS. Contract duration is 6-12 months, on-site in Milton Keynes, paying up to £425/day inside IR35. Key skills include Python, SageMaker, and data privacy knowledge.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
425
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🗓️ - Date discovered
June 28, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Inside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Forecasting #PyTorch #S3 (Amazon Simple Storage Service) #Azure #Azure DevOps #NumPy #Transformers #Compliance #Hugging Face #Pandas #Data Science #"ETL (Extract #Transform #Load)" #Agile #A/B Testing #ChatGPT #Python #Big Data #SQL (Structured Query Language) #Jira #Athena #GDPR (General Data Protection Regulation) #Clustering #DevOps #Data Engineering #AWS (Amazon Web Services) #Classification #Data Privacy #Regression #Scrum #Lambda (AWS Lambda) #ML (Machine Learning) #SageMaker
Role description
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Job Description
Data Scientist
Start: ASAP
Duration: 6-12 months
Location: onsite 3 days per week in Milton Keynes
Pay: up to £425 /day Inside IR35
We are seeking an experienced Data Scientist. You will be instrumental in developing and deploying data-driven solutions, with a particular focus on OCR use-cases and LLM applications within AWS environments.
Key Responsibilities
• AWS Data Science Tools: Hands-on with SageMaker, Lambda, Step Functions, S3, Athena.
• OCR Development: Experience with Amazon Textract, Tesseract, and LLM-based OCR.
• Python Expertise: Skilled in Pandas, NumPy, scikit-learn, PyTorch, Hugging Face Transformers; modular, testable code.
• ML Models: Proficient in regression, classification, clustering, and time-series forecasting.
• Business Insight: Translate business needs into data-driven solutions and actionable insights.
• Stakeholder Engagement: Communicate effectively across technical and non-technical teams.
• Data Engineering: Basic skills in SQL and big data tools (e.g., Athena).
• Experimentation: A/B testing, statistical analysis, performance metrics.
• Compliance: Knowledge of data privacy (GDPR), PII handling.
• Agile Working: Experience in Agile/Scrum teams (Jira, Azure DevOps).
Essential Skills & Experience
• 5–7 years in a Data Science role
• Strong experience with Amazon Bedrock and SageMaker
• Python integration with APIs (e.g., ChatGPT)
• Demonstrable experience with LLMs in AWS
• Proven delivery of OCR and document parsing pipelines
