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Posted 21 July, 2026

Data Scientist (Contractor)

Tenth Revolution Group
London, ENG, GB Full Time

Job Description

Senior Data Scientist / Machine Learning Specialist\n

6 Month Contract | Inside IR35 | Hybrid London 2 to 3 days per week£637.50 to £935 per day Start Date: 1st September 2026 | Interviews taking place immediately

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We are supporting a leading consultancy on an engagement focused on advanced analytics, risk modelling and data driven decision making across complex regulatory and financial environments.

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This is a high impact contract role for an experienced Data Scientist or Machine Learning Specialist who can operate across the full lifecycle from exploratory analysis through to deployment and monitoring within a modern production environment.

What You Will Be Doing\n
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  • Building and validating machine learning models including classification, unsupervised learning such as anomaly and outlier detection and ranking models
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  • Performing deep exploratory data analysis to identify trends, risk clusters and early signals
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  • Conducting time series analysis to assess trends across financial periods
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  • Engineering robust features from structured and semi structured datasets
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  • Deploying models into production using containerised environments
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  • Working closely with stakeholders to translate business challenges into analytical solutions
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  • Supporting model monitoring, optimisation and drift detection
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Core Skills and Experience\n
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  • Strong Python experience including pandas, NumPy and scikit learn for modelling and data manipulation
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  • Advanced SQL skills for querying structured datasets
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  • Proven experience developing and validating machine learning models
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  • Experience with ML deployment using containerisation or pipeline tools such as SageMaker or similar
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  • Strong experience with Git for version control
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  • Solid understanding of time series analysis and trend evaluation
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  • Excellent exploratory data analysis skills
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Desirable Experience\n
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  • Knowledge of ensemble and rank aggregation techniques such as Robust Rank Fusion
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  • Experience with model explainability tools such as SHAP or LIME
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  • Exposure to model monitoring frameworks and drift detection
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  • Background in regulatory, risk or financial crime related projects
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  • Experience with record linkage or entity resolution
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  • Knowledge of graph analytics including Cypher or Gremlin, graph databases such as Neo4j or Neptune and network analysis or visualisation tools
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Why This Role\n
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  • Opportunity to work on complex data challenges within a consulting environment
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  • Exposure to advanced machine learning techniques and modern deployment practices
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  • High impact role with strong ownership and autonomy
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If you are an experienced Data Scientist with strong modelling expertise and experience delivering in fast paced environments, apply now. Interviews are being arranged immediately.

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