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# Data Scientist Consultant (Contract)

- **Company:** Harnham
- **Location:** London, UK (Remote available)
- **Salary:** £130,000.0 - £166,400.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Information Engineering, Python (Programming Language), Machine Learning, Standard Sql, Google Cloud, Software Version Control, Data Pipelines
- **Published:** August 24, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-scientist-consultant-contract/57271497

## About the Role

* Recent experience within financial services, credit risk, lending, credit bureaux, or commercial credit analytics is essential.
 * Strong experience building predictive models, risk scorecards, or decisioning solutions within a regulated financial environment.
 * Proven experience working with credit, lending, bureau, or commercial financial datasets.
 * Strong Python and SQL skills for data science, analytics, and data engineering activities.
 * Experience applying statistical and machine learning techniques to solve complex commercial or risk-related problems.
 * Hands-on experience working within Google Cloud Platform environments.
 * Understanding of model development lifecycles, model governance, validation, and version control best practices.
 * Strong stakeholder management skills with the ability to communicate technical findings to non-technical audiences.

## Description

* Develop predictive models, credit risk scorecards, and advanced analytical solutions using large-scale financial and commercial datasets.
 * Prepare, audit, cleanse, and analyse complex credit and business data to generate actionable insights.
 * Design and optimise scalable data pipelines to support machine learning and analytics workflows.
 * Partner with business stakeholders to translate commercial and risk challenges into data-driven solutions.
 * Communicate analytical findings through clear visualisations and business-focused recommendations.
 * Support the adoption of modern cloud technologies, machine learning techniques, and analytics best practice.


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