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Cardiff

    Data Scientist - Cardiff, United Kingdom - Yolk Recruitment Ltd

    Default job background
    Accounting / Finance
    Description

    We are looking for a proactive individual passionate about leveraging AI and machine learning to combat Financial Crime. Join a cutting-edge Fintech company dedicated to protecting customers from financial crimes, starting with APP Fraud prevention.



    Responsibilities:
    • Defining and Evaluating Metrics: Establish and assess key metrics for product AI components, identifying improvement opportunities
    • Data Annotation Pipelines: Develop efficient data annotation pipelines using internal assessors and crowdsourcing platforms
    • Machine Learning Implementation: Implement and deploy suitable Machine Learning algorithms and models
    • Monitoring with BI Tools: Utilize Business Intelligence tools to monitor product metrics and ML model performance

    Key Tasks:
    • Fraud Detection: Evaluate vendor models, access existing systems, and create a roadmap for fraud prevention system enhancements
    • Pattern and Irregularity Analysis: Utilize statistical tools to uncover data patterns and irregularities indicating potential fraudulent activities
    • Predictive Modelling: Use predictive modelling techniques to identify potential fraudulent behavior and transactions
    • Reporting: Develop concise reports detailing findings, risks, and recommended actions
    • Cross-Department Collaboration: Collaborate with other departments to boost security and fraud detection efforts

    Requirements:
    • Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn)
    • Database Skills: Proficiency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau)
    • Statistical Analysis: Fundamental understanding of statistical analysis
    • Growth Mindset: Enthusiastic about staying updated with the latest technologies and exploring new ideas
    • Commercial Experience: Background in implementing production machine learning systems in a commercial setting
    • DevOps Knowledge: Understanding of DevOps in a Data Science context (e.g., MLOps) is a plus

    Why Join Us?
    • Innovative Environment: Work with cutting-edge technology in a dynamic and innovative setting
    • Impactful Work: Contribute to customer safety and security by preventing financial crimes
    • Professional Growth: Opportunities for continuous learning and professional development
    • Collaborative Culture: Join a collaborative team that values your contributions and supports your growth

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