Data Scientist
Posted Today by SR2 - Socially Responsible Recruitment
£475 Per day
Outside
Remote
City of London, UK
Summary: The role of Data Scientist involves working on a major public sector programme to deliver innovative data capabilities in a secure environment. The position requires hands-on experience in building and testing machine learning and analytics proof of concepts, as well as presenting insights from complex datasets to stakeholders. The successful candidate will be part of a fast-paced innovation team, focusing on various data science methodologies. This role is remote-facing and requires SC clearance.
Key Responsibilities:
- Build and test ML and analytics proof of concepts
- Identify patterns, anomalies and insight across complex datasets
- Apply statistical modelling and AI techniques to operational challenges
- Present findings clearly to technical and non-technical stakeholders
- Work in short, delivery-focused sprint cycles
Key Skills:
- Strong data science background with hands-on ML and AI experience
- Strong Python skills, including PySpark and PyTorch
- AWS experience, particularly SageMaker, S3, Athena and Lambda
- Strong stakeholder communication skills
- Experience working in agile, delivery-focused environments
- Tableau and operational datasets experience beneficial
Salary (Rate): £475 per day
City: City of London
Country: UK
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Data Scientist
£450-475 per day | Outside IR35 | SC Cleared
5 May start | Initial 4 months | Remote-facing
We're recruiting for an SC-cleared Data Scientist to join a major public sector programme delivering innovative data capability in a secure environment. This is a hands-on role focused on building and testing machine learning and analytics proof of concepts, surfacing insight from complex datasets, and presenting outputs clearly to stakeholders.
You'll join a fast-paced innovation team working in short sprint cycles across anomaly detection, data quality, statistical modelling and LLM-based summarisation.
Role responsibilities
- Build and test ML and analytics proof of concepts
- Identify patterns, anomalies and insight across complex datasets
- Apply statistical modelling and AI techniques to operational challenges
- Present findings clearly to technical and non-technical stakeholders
- Work in short, delivery-focused sprint cycles
Experience
- Strong data science background with hands-on ML and AI experience
- Strong Python skills, including PySpark and PyTorch
- AWS experience, particularly SageMaker, S3, Athena and Lambda
- Strong stakeholder communication skills
- Experience working in agile, delivery-focused environments
- Tableau and operational datasets experience beneficial
