Data Scientist
Posted 1 week ago by SR2 | Socially Responsible Recruitment | Certified B Corporation™
Negotiable
Inside
Remote
London Area, United Kingdom
Summary: The Data Scientist role focuses on leveraging AI/ML expertise to design, develop, and deploy advanced models within a high-profile programme. The position is remote and requires collaboration with a delivery team on impactful data-led projects. Candidates will be responsible for troubleshooting and refining model code while translating business needs into data-driven solutions. Strong proficiency in Python and SQL, along with experience in model development and deployment, is essential for success in this role.
Key Responsibilities:
- Design, build, and optimise AI/ML solutions for complex business problems
- Collaborate with fellow data scientists to develop and productionise models
- Troubleshoot, debug, and refine model code
- Partner with cross-functional teams to translate business needs into data-driven solutions
Key Skills:
- Python (pandas, NumPy, scikit-learn) – data wrangling, modelling, feature engineering
- SQL – querying structured datasets
- Model Development & Validation – classification, unsupervised learning (outlier detection), ranking models
- ML Deployment – containerised deployments (Podman, SageMaker, DSW pipelines)
- Git – version control for reproducible workflows
- Time-Series Analysis – spotting risk trends over time
- EDA – identifying early risk signals and clusters
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: Other
Data Scientist – AI/ML Contract | Remote (UK-based) Inside IR35
SR2 is supporting a high-profile programme seeking experienced Data Scientists with strong AI/ML expertise to design, develop, and deploy advanced models into production. You’ll join an established delivery team working on impactful, data-led projects with real-world outcomes.
What you’ll be doing:
- Design, build, and optimise AI/ML solutions for complex business problems
- Collaborate with fellow data scientists to develop and productionise models
- Troubleshoot, debug, and refine model code
- Partner with cross-functional teams to translate business needs into data-driven solutions
Essential skills:
- Python (pandas, NumPy, scikit-learn) – data wrangling, modelling, feature engineering
- SQL – querying structured datasets
- Model Development & Validation – classification, unsupervised learning (outlier detection), ranking models
- ML Deployment – containerised deployments (Podman, SageMaker, DSW pipelines)
- Git – version control for reproducible workflows
- Time-Series Analysis – spotting risk trends over time
- EDA – identifying early risk signals and clusters
Desirable skills:
- Rank aggregation/ensemble methods (e.g. Robust Rank Fusion)
- Model explainability tools (SHAP, LIME)
- Model monitoring & drift detection
- Experience in RegTech, FinCrime, or data-led supervision projects
Please submit your CV, highlighting relevant experience.