Data Scientist (Contractor)

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.