Data Scientist - SC Cleared - AWS
Posted 2 days ago by SR2 - Socially Responsible Recruitment
£500 Per day
Undetermined
Undetermined
London, UK
Summary: The Data Scientist role focuses on delivering AI- and ML-driven insights within a high-profile government data programme. The position requires expertise in Python and AWS technologies, particularly in rapid proof-of-concept sprints. Candidates must possess strong data science skills and SC clearance. The role emphasizes quick delivery of prototypes and effective communication of complex data insights to non-technical stakeholders.
Key Responsibilities:
- Run rapid proof-of-concept sprints to surface AI- and ML-driven insights.
- Utilize the Python ecosystem, including PySpark and PyTorch, for data science tasks.
- Leverage AWS services such as SageMaker, S3, and Lambda for data processing and analysis.
- Communicate complex analytical outputs clearly to non-technical audiences.
- Deliver working prototypes quickly in short sprint cycles.
- Utilize Tableau for insight surfacing and end-user output.
- Implement Infrastructure as Code (IaC) using Terraform, including migration of Kubernetes pipelines.
Key Skills:
- Strong data science background with hands-on ML and AI experience.
- Proficiency in Python across data science tooling, including PySpark and PyTorch.
- Experience with AWS, particularly SageMaker and associated services.
- Ability to communicate complex analytical outputs clearly to non-technical audiences.
- Experience with Tableau is beneficial.
- SC clearance is required.
Salary (Rate): £500 per day
City: London
Country: UK
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Data Scientist - SC Cleared - AWS
SR2 has an exciting new role working on a high-profile data programme within government.
One of the programme's core workstreams is an innovation squad that runs rapid proof-of-concept sprints to surface AI- and ML-driven insights for end users.
Tech Stack
- Python ecosystem - PySpark, PyTorch, and wider ML libraries
- AWS - SageMaker, S3, Athena, Lambda, CloudWatch
- Tableau - for insight surfacing and end-user output
- Terraform IaC - including migration of Kubernetes pipelines
What We're Looking For
- Strong data science background with hands-on ML and AI experience
- Comfortable working in short sprint cycles and delivering working prototypes quickly
- Python proficiency across data science tooling - PySpark, PyTorch etc.
- AWS experience, particularly SageMaker and associated services
- Ability to communicate complex analytical outputs clearly to non-technical audiences
- Tableau experience - beneficial
- SC clearance
