Permanent Data Scientist Jobs in Wales

1 to 4 of 4 Permanent Data Scientist Jobs in Wales

Data Scientist

Cardiff, Wales, United Kingdom
LexisNexis Risk Solutions
Data Scientist - Cardiff, Wales. Hybrid About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer … solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team: You will part of a small team assisting … the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role: We are looking for a Data Scientist to conduct statistical analysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining more »
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Lead Data Scientist

Cardiff, Wales, United Kingdom
Hybrid / WFH Options
LexisNexis Risk Solutions
Lead Data Scientist - Cardiff - Hybrid Working About the Business : LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve … solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team : You will part of a team assisting the … business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role : This a Lead Data Scientist to manage a small team of data scientists. You will lead discussions with stakeholders on the requirements, deliverables, and prioritisation of projects. The role will more »
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Senior Data Scientist

Cardiff, South Glamorgan, United Kingdom
yolk recruitment
Data Scientist (Senior/Lead) - Salary is DOE, £90,000 - £120,000/Flexible (Offices in Cardiff, Bristol or London) I'm thrilled to be working with a Financial Services client focused on using AI tools and technology to make their customer's lives easier. When it comes … in Python, including ML/DL frameworks (e.g., Scikit-learn, TensorFlow) and visualization libraries (e.g., Matplotlib, Seaborn). - Strong SQL skills and experience with data visualization tools (e.g., Tableau). - Basic statistical analysis knowledge. - Experience in deploying production ML systems. - Familiarity with DevOps in a data science context more »
Employment Type: Permanent
Salary: £90000 - £120000/annum
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Financial Crime- Data Scientist

Cardiff, Wales, United Kingdom
yolk recruitment
to make a real-world impact within the world of Financial Crime? Do you thrive on solving complex problems and uncovering hidden patterns in data? Join this forward thinking Fintech, help them protect our customers from financial crimes, starting with APP (Authorised Push Payment) Fraud prevention. Responsibilities: Defining and … Evaluating Metrics: Establish and assess key metrics for the AI components of our product, identifying levers for improvement. Data Annotation Pipelines: Develop efficient data annotation pipelines utilizing internal assessors and crowdsourcing platforms. Machine Learning Implementation: Implement and deploy appropriate Machine Learning algorithms and models. Monitoring with BI Tools … and create a roadmap for system improvements aimed at fraud prevention. Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities. Predictive Modelling: Employ predictive modelling techniques to identify potential fraudulent transactions and behaviours. Reporting: Develop concise reports explaining findings more »
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