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Data Scientist
Posted 4 days 19 hours ago by Stott and May
Permanent
Not Specified
Other
London, United Kingdom
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
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
Stott and May
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