

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 AWS and LLM projects in Milton Keynes. The 6-month contract offers £500–£550/day. Key skills include Python, AWS, and ML deployment in enterprise environments.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
550
-
🗓️ - Date discovered
June 28, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
On-site
-
📄 - Contract type
Inside IR35
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Milton Keynes, England, United Kingdom
-
🧠 - Skills detailed
#Deployment #PyTorch #S3 (Amazon Simple Storage Service) #Azure #Azure DevOps #NumPy #Compliance #Hugging Face #Pandas #Data Science #"ETL (Extract #Transform #Load)" #Agile #A/B Testing #ChatGPT #Python #Jira #Athena #GDPR (General Data Protection Regulation) #Clustering #DevOps #Security #AWS (Amazon Web Services) #Classification #Scala #Regression #Consulting #Scrum #Lambda (AWS Lambda) #ML (Machine Learning) #SageMaker
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
🚀 Data Scientist – AWS & LLM Projects (Inside IR35)
📍 Location: Milton Keynes (3 days/week onsite)
📅 Contract: 6 months
💰 Day Rate: £500–£550/day (Inside IR35)
🕒 Start Date: July 2025
A global technology consultancy is looking for an experienced Data Scientist to support the delivery of advanced machine learning and LLM-based OCR projects in an enterprise AWS environment. This is a hands-on role, ideal for someone with strong Python skills, deep AWS knowledge, and experience deploying models at scale.
🔧 Key Responsibilities:
Develop ML models using SageMaker, Bedrock, and Python frameworks
Build OCR pipelines using Amazon Textract, Tesseract, and LLM-based approaches
Deploy scalable solutions using Lambda, Step Functions, S3, and Athena
Translate business problems into ML solutions, KPIs, and data insights
Collaborate with cross-functional teams and business stakeholders
Evaluate model performance with A/B testing, experimentation, and analytics
Ensure security, compliance, and GDPR/PII considerations in all deployments
✅ Required Skills:
5–7 years in data science roles, ideally in consulting or large enterprise
Strong coding skills with Python, pandas, NumPy, scikit-learn, PyTorch, Hugging Face
Experience with traditional ML (regression, classification, clustering, time-series)
Familiarity with APIs to LLMs/ChatGPT, Bedrock, and MLOps tooling
Working knowledge of Agile/Scrum, Jira/Azure DevOps