Data Scientist
NATURE OF WORK
Leadership & Delivery
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Identify opportunities wherein artificial intelligence (AI) and machine learning (ML) can exert a substantial influence, dissecting these challenges into precise requirements for AI solutions.
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Formulate lucid and succinct roadmaps delineating AI and machine learning initiatives, adeptly communicating them to all stakeholders and ensuring alignment with the overarching business strategy.
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Define project scopes, deliverables, timelines, and resource allocation.
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Assess the business impact and effectiveness of solutions.
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Advocate for the integration of AI and machine learning methodologies throughout the organization.
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Enhance existing processes and operational methods to elevate current efficiencies.
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Foster innovation by advocating for unconventional, novel applications of new technologies and algorithms.
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Collaborate closely with business leaders, data scientists, engineers, and other stakeholders to formulate and execute a comprehensive AI and machine learning strategy tailored to the bank's needs.
Technical Skills
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Lead the translation of high-level business problems into actionable, technical Data Science frameworks.
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Drive innovation by developing and deploying sophisticated machine learning and AI models as required.
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Validate the methodologies, analytical approaches, and codebases of developers to ensure strict alignment with both technical standards and business requirements.
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Relay the results of model developments to stakeholders, providing clarity on the impact and value of the team's technical outputs.
People Management
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Actively mentor both senior and junior developers, guiding their progress in technical expertise and soft-skill development.
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Build individual career plans for your team members, ensuring their professional trajectory aligns with organizational goals.
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Lead engagement activities and propose new organizational structures to meet business goals while prioritizing the career satisfaction and well-being of the team.
REQUIRED QUALIFICATIONS
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With at least a bachelor’s degree in any technology related discipline (i.e. Statistics, Computer Science, etc.)
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Having at least 5 years of data science & AI experience as a developer
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Having at least 3 years of experience managing & leading a team
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Finance or banking domain background is a plus
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Experience in product scaling and business growth is a plus
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Research and development experience is a plus