Orbis Group

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a 6-month contract in London, focusing on AI and machine learning in Financial Services. Key skills include strong Python and SQL proficiency, model development, and experience with regulatory environments. Pay rate is dependent on experience.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 24, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Greater London, England, United Kingdom
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🧠 - Skills detailed
#Classification #Documentation #Databases #Trend Analysis #Python #NumPy #Unsupervised Learning #Deployment #Data Analysis #Compliance #Monitoring #GIT #ML (Machine Learning) #Neo4J #Data Science #SQL (Structured Query Language) #Graph Databases #Anomaly Detection #Pandas #Supervised Learning #AI (Artificial Intelligence)
Role description
Data Scientist | AI & Machine Learning | Contract | London We're looking for a Data Scientist to join a major AI and machine learning programme focused on delivering production-grade models and data science solutions across a range of business-critical initiatives. The role is hands-on, covering model development, deployment, validation, feature engineering, and data analysis within an established delivery team. Key Responsibilities: • Design and develop AI and machine learning solutions • Build, validate, and deploy production-ready models • Perform exploratory data analysis and feature engineering • Develop classification, ranking, and anomaly detection models • Support machine learning deployment within containerised environments • Troubleshoot and debug code across the development life cycle • Work closely with technical and business stakeholders to solve complex problems • Produce technical documentation and support model governance activities Key Skills: • • Experienced within Financial Services • • Strong Python experience (pandas, NumPy, scikit-learn) • Strong SQL skills • Experience developing and validating machine learning models • Experience with classification, ranking, and unsupervised learning techniques • Experience deploying machine learning solutions into production • Familiarity with Git and collaborative development practices • Experience working with time-series data and trend analysis • Strong exploratory data analysis skills Additional: • Experience with SHAP, LIME, model monitoring, or drift detection • Knowledge of rank aggregation techniques such as Robust Rank Fusion (RRF) • Experience within regulatory, risk, financial crime, or compliance environments • Experience with record linkage, entity resolution, or network analytics • Exposure to graph databases and technologies such as Neo4j, Neptune, Cypher, or Gremlin Key Details: Rate: Dependant on Experience Location: London (Hybrid) Duration: 6 Month Contract (rolling) Start: Immediate