workday
Senior Data Scientist II
Relx
Remote, AUS
Full-time
Senior
Remote
Discovered 2 weeks ago
Free
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Key Responsibilities
- Lead the design, development, validation, and monitoring of fraud prevention models, machine learning solutions, and analytical frameworks.
- Drive analytical initiatives supporting Fraud Next Generation strategies, aligning data science capabilities with product, technology, and commercial objectives.
- Partner cross-functionally with Product, Technology, Sales, Pre-Sales, Content Acquisition, and Global Analytics teams to deliver scalable business solutions.
- Identify opportunities to enhance fraud detection, entity resolution, identity verification, and data intelligence capabilities.
- Support the expansion of Decision Trust solutions through customized analytics, proof of concepts, customer engagements, and production-ready implementations.
- Provide technical leadership and mentorship to other data scientists, promoting analytical best practices and knowledge sharing.
- Ensure alignment with enterprise governance standards, Responsible AI principles, and regulatory requirements.
- Communicate analytical findings and recommendations to technical and non-technical stakeholders, including senior leadership.
- Contribute to the long-term analytical roadmap, supporting innovation, product development, and scalable growth initiatives.
- Evaluate new data assets, analytical methodologies, and emerging technologies that can improve fraud prevention performance.
Qualifications
- Advanced experience in Data Science, Advanced Analytics, Machine Learning, or related quantitative fields.
- Strong background in fraud analytics, digital identity, risk modeling, or financial crime prevention.
- Expertise in predictive modeling, machine learning, statistical analysis, and large-scale data environments.
- Experience developing and deploying analytical solutions in production environments.
- Strong stakeholder management and communication skills, with the ability to influence decision-making across technical and business teams.
- Experience working within global and matrixed organizations.
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