N Consulting Global

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist consultant in London, UK, for a 6-month contract starting 1 September 2026. Requires 3-5 years of experience, strong Python and SQL skills, and expertise in AI/ML solutions and model deployment.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 20, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Science #Unsupervised Learning #ML (Machine Learning) #AI (Artificial Intelligence) #Data Extraction #GIT #Data Analysis #SQL (Structured Query Language) #Supervised Learning #Version Control #Documentation #Pandas #SageMaker #Monitoring #Python #Neo4J #Classification #Scala #NumPy
Role description
Hiring: Data Scientist (2 Openings) 📍 Location: London, UK (Hybrid – 3 days onsite/week) 📅 Start Date: 1 September 2026 ⏳ Contract Duration: 6 months 💼 Role: Consultant – Data Scientist 📌 Experience: 3–5 years We are looking for experienced Data Scientists to join our delivery programme and build AI/ML-driven solutions. The successful candidates will work with an existing team to develop models, productionise services, and solve complex business problems using data-driven approaches. 🔍 Key Responsibilities: • Design and develop AI/ML solutions • Build, validate, and deploy production-level machine learning models • Perform data analysis, feature engineering, and model optimisation • Troubleshoot and debug data science solutions • Collaborate with cross-functional teams to understand and solve business challenges • Create supporting documentation and deliver scalable analytical solutions 🛠 Essential Skills & Experience: ✅ Strong Python skills (Pandas, NumPy, Scikit-learn) ✅ SQL for data extraction and analysis ✅ Experience with classification, unsupervised learning, outlier detection, and ranking models ✅ Experience deploying ML solutions using containerised environments (e.g., Podman, SageMaker, DSW pipelines) ✅ Git/version control experience ✅ Time-series analysis and risk trend modelling ✅ Strong Exploratory Data Analysis (EDA) skills ⭐ Nice-to-Have Skills: • Ensemble and rank aggregation techniques (e.g., Robust Rank Fusion – RRF) • Model explainability tools (SHAP, LIME) • Model monitoring and drift detection • Experience in RegTech, FinCrime, or Data-led Supervision projects • Record linkage and network analytics experience • Knowledge of graph technologies (Neo4j, Neptune, Cypher, Gremlin) and graph visualisation tools