Data Scientist Consultant (Contract)

• 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.

• 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.

They are a well-established organisation with a strong focus on data-driven innovation within financial services and credit analytics. Their teams develop sophisticated modelling solutions, risk products, and decisioning tools powered by extensive commercial data assets. With continued investment in cloud technologies and advanced analytics, they are building the next generation of AI and machine learning capabilities. You will join a collaborative environment that values technical excellence, innovation, and commercial impact.