About the role
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
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