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Tier-1 brand, metro location, mid-level generalist title and common skillset increase applicant competition.
Core data science skills are broadly transferable despite preference for financial services or consulting experience.
Mandatory postgraduate degree, explicit three-year experience, and required technical skills enforce strict candidate filters.
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Develop and implement advanced analytics solutions including data models, machine learning predictive models, and algorithms to extract insights from large datasets.
Collaborate with cross-functional stakeholders to understand data requirements and translate them into actionable analytics solutions and data-driven products.
Ensure data quality and present findings clearly through data visualization and documentation to technical and non-technical audiences.
Master's or Ph.D. degree in Statistics, Mathematics, Computer Science, or related quantitative field.
Minimum 3 years of experience in a data science role, preferably in financial services or consulting.
Strong programming skills in Python, R, or similar languages for data analysis and modeling.
Proficiency with data visualization tools such as Tableau or Power BI.
Experienced in building and deploying machine learning models in business contexts, demonstrating measurable process optimization.
Comfortable working cross-functionally to translate business challenges into technical analytics solutions.
Skilled at communicating complex data science concepts to diverse audiences and supporting team members technically.