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Tier-1 brand, popular Data Scientist title, mid-level experience range, metro location, and broad skillset raise competition.
Core data science skills transfer across industries, though banking/digital retail domain knowledge moderately matters.
Explicit 2-5 years requirement plus quantitative and SQL skills increases candidate filtering.
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Work independently with large, complex data sets to evaluate, recommend, and support implementation of business strategies.
Document data requirements, data collection, processing, cleaning, and perform exploratory data analysis including statistical modeling and data visualization.
Directly impact business outcomes by applying analytical thinking and data tools, with focus areas such as marketing, risk, digital, or AML possible.
2-5 years of relevant experience in a quantitative field.
Bachelor's degree or equivalent experience.
Proficiency in data retrieval and manipulation tools such as SQL and Access.
Not explicitly mentioned: Notice period requirement.
Experienced in handling complex datasets and deriving business insights using analytical tools and statistical methods.
Ability to work independently within a matrix environment and build partnerships with cross-functional leaders.
Comfortable with roles bridging data science and business decision management, especially in marketing, risk, digital, or AML domains.