Leading Financial Services client now requires a strong AI Credit Risk Consultant to design, build, and deploy machine learning solutions on large-scale datasets.
This role focuses on turning complex data into actionable insights and production-ready AI models.
Key Responsibilities
- Develop, test, and deploy machine learning models and AI solutions.
- Work with large, complex datasets to extract insights and drive decision‑making.
- Build data pipelines and prepare datasets for modelling.
- Apply advanced analytics to use cases such as prediction, risk modelling, and recommendation systems.
- Evaluate model performance and optimise for accuracy and efficiency.
- Collaborate with cross‑functional teams to translate business problems into AI solutions.
- Communicate findings clearly through visualisation and storytelling.
Key Requirements
- Strong experience in machine learning and AI model development.
- Proficiency in Python and SQL.
- Experience with cloud‑based AI platforms.
- Solid understanding of data structures, algorithms, and statistics.
- Hands‑on experience with data analysis, feature engineering, and model evaluation.
- Experience building predictive models in real‑world applications.
This is a permanent position which provides a base salary of up to £85,000, plus bonus and package.
In terms of working structure, this is hybrid with 2-3 days per week in the Nottingham office and the rest remote.
#J-18808-Ljbffr”, “datePosted”: “2026-05-15”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Ventula Consulting”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__432647201__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=294” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Nottingham” } } }Leading Financial Services client now requires a strong AI Credit Risk Consultant to design, build, and deploy machine learning solutions on large-scale datasets.
This role focuses on turning complex data into actionable insights and production-ready AI models.
Key Responsibilities
- Develop, test, and deploy machine learning models and AI solutions.
- Work with large, complex datasets to extract insights and drive decision‑making.
- Build data pipelines and prepare datasets for modelling.
- Apply advanced analytics to use cases such as prediction, risk modelling, and recommendation systems.
- Evaluate model performance and optimise for accuracy and efficiency.
- Collaborate with cross‑functional teams to translate business problems into AI solutions.
- Communicate findings clearly through visualisation and storytelling.
Key Requirements
- Strong experience in machine learning and AI model development.
- Proficiency in Python and SQL.
- Experience with cloud‑based AI platforms.
- Solid understanding of data structures, algorithms, and statistics.
- Hands‑on experience with data analysis, feature engineering, and model evaluation.
- Experience building predictive models in real‑world applications.
This is a permanent position which provides a base salary of up to £85,000, plus bonus and package.
In terms of working structure, this is hybrid with 2-3 days per week in the Nottingham office and the rest remote.
#J-18808-Ljbffr…