Researcher - Financial Services
3 weeks ago
Responsibilities:
1. Conduct cutting-edge research in machine learning, with a focus on addressing real-world challenges and industry-specific problems.
2. Collaborate with academic institutions, industry partners, and research organizations in London to foster collaboration and leverage resources.
3. Stay informed about the local machine learning ecosystem, attend conferences, meetups, and workshops to network with other researchers and professionals.
4. Apply machine learning techniques to diverse domains such as finance, healthcare, cybersecurity, or transportation, depending on the focus of the organization.
5. Stay up-to-date with the regulatory landscape in London and ensure compliance with data protection and privacy standards when handling sensitive data.
Qualifications:
1. Strong academic background with a Ph.D. in machine learning, computer science, or a related field from a reputable institution.
2. Proven track record of publishing research papers in top-tier conferences or journals.
3. Familiarity with London's machine learning research community and active participation in local events.
4. Experience working with industry partners or collaborating on research projects with organizations based in London.
5. Knowledge of specific industry domains relevant to London, such as finance, healthcare, or fintech, depending on the organization's focus.
6. Understanding of regulatory frameworks applicable in London, such as GDPR (General Data Protection Regulation) and their implications for machine learning research.
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