Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position focused on AI/ML, offering a remote contract inside IR35 for the UK. Key skills include Python, SQL, model development, and ML deployment. Experience in RegTech or FinCrime is desirable.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
-
πŸ’° - Day rate
-
πŸ—“οΈ - Date discovered
August 16, 2025
πŸ•’ - Project duration
Unknown
-
🏝️ - Location type
Remote
-
πŸ“„ - Contract type
Inside IR35
-
πŸ”’ - Security clearance
Unknown
-
πŸ“ - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Datasets #Unsupervised Learning #Python #Deployment #Pandas #Version Control #GIT #AI (Artificial Intelligence) #NumPy #ML (Machine Learning) #SageMaker #Data Science #SQL (Structured Query Language) #Supervised Learning #Classification #Data Wrangling #Monitoring
Role description
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: β€’ Design, build, and optimise AI/ML solutions for complex business problems β€’ Collaborate with fellow data scientists to develop and productionise models β€’ Troubleshoot, debug, and refine model code β€’ Partner with cross-functional teams to translate business needs into data-driven solutions Essential skills: β€’ Python (pandas, NumPy, scikit-learn) – data wrangling, modelling, feature engineering β€’ SQL – querying structured datasets β€’ Model Development & Validation – classification, unsupervised learning (outlier detection), ranking models β€’ ML Deployment – containerised deployments (Podman, SageMaker, DSW pipelines) β€’ Git – version control for reproducible workflows β€’ Time-Series Analysis – spotting risk trends over time β€’ EDA – identifying early risk signals and clusters Desirable skills: β€’ Rank aggregation/ensemble methods (e.g. Robust Rank Fusion) β€’ Model explainability tools (SHAP, LIME) β€’ Model monitoring & drift detection β€’ Experience in RegTech, FinCrime, or data-led supervision projects Please submit your CV, highlighting relevant experience.