- You'll enforce data governance and adherence to GDPR and PSD2 standards, safeguarding data integrity, privacy, and security.
- Manage and develop our data infrastructure to be scalable, reliable, and cost-efficient.
- Design a modern data management stack supporting a self-service data analytics model across all company functions for quick, informed decision-making.
- Integrate AI and machine learning to enhance customer experiences and operational efficiencies, managing the full data lifecycle from collection to quality control.
- Stay updated with data science trends and guide strategic adjustments.
- Communicate data's importance to executives and staff, and lead the expansion of our data engineering team.
- Establish a cross-functional data guild and become the go-to expert for data management.
- Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field.
- Professional Experience: Extensive data science, analytics, or engineering experience, particularly in leadership roles and the banking or financial services sector.
- Technical Proficiency: Expertise in data analytics frameworks, machine learning, AI, and scalable data infrastructure design.
- Regulatory Knowledge: In-depth knowledge of data protection laws, including GDPR and PSD2.
- Leadership Skills: Proven ability to lead data engineering teams and manage cross-functional projects.
- Strategic Thinking: Strong planning and execution skills, aligning strategies with business goals.
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Data Science Data Science Senior Data Scientist
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Senior Data Science Lead
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Head of Data Science - london, United Kingdom - Eames Consulting
Description
This Challenger Bank are looking for a Data Science and Analytics Leader to drive data-driven decisions across their organisation. Your role involves providing actionable insights to departments such as product development, marketing, and customer service, ensuring our actions are informed and impactful.
Responsibilities:
Requirements: