Data Scientist, Payments
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enter…
Senior Data Scientist / Machine Learning Specialist 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
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.
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
Building and validating machine learning models including classification, unsupervised learning such as anomaly and outlier detection and ranking models
Performing deep exploratory data analysis to identify trends, risk clusters and early signals
Conducting time series analysis to assess trends across financial periods
Engineering robust features from structured and semi structured datasets
Deploying models into production using containerised environments
Working closely with stakeholders to translate business challenges into analytical solutions
Supporting model monitoring, optimisation and drift detection
Core Skills and Experience
Strong Python experience including pandas, NumPy and scikit learn for modelling and data manipulation
Advanced SQL skills for querying structured datasets
Proven experience developing and validating machine learning models
Experience with ML deployment using containerisation or pipeline tools such as SageMaker or similar
Strong experience with Git for version control
Solid understanding of time series analysis and trend evaluation
Excellent exploratory data analysis skills
Desirable Experience
Knowledge of ensemble and rank aggregation techniques such as Robust Rank Fusion
Experience with model explainability tools such as SHAP or LIME
Exposure to model monitoring frameworks and drift detection
Background in regulatory, risk or financial crime related projects
Experience with record linkage or entity resolution
Knowledge of graph analytics including Cypher or Gremlin, graph databases such as Neo4j or Neptune and network analysis or visualisation tools
Why This Role
Opportunity to work on complex data challenges within a consulting environment
Exposure to advanced machine learning techniques and modern deployment practices
High impact role with strong ownership and autonomy
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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