Data Scientist - Financial Analytics
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Job Description
Structured overview of role & requirementsAbout This Role
Participate in analyzing, validating, and preparing data sets for exploratory data analysis and hypothesis testing within the Finance and Corporate Strategy team.
Contribute to developing, validating, and selecting data science models that support financial analytics solutions.
Support visualization and delivery of data science insights and assist in maintaining client metadata based on analytic objectives.
Minimum Requirements
Bachelor’s degree in Statistics, Operations Research, Computer Science or equivalent.
Basic knowledge of data science methodologies, analytics software (e.g., R, SAS, SPSS, Python), and ETL tools (e.g., Informatica, Ab Initio, Talend).
Work Experience Required: Not explicitly mentioned in the JD.
Role is designed as onsite, primarily working from an HPE office location.
Ideal Candidate Profile
Comfortable working on data preparation, model development, and validation within financial analytics contexts involving business requirement understanding.
Familiarity with data visualization and presenting analytic insights to support decision-making processes in finance.
Able to work under limited scope assignments applying technical concepts independently within defined parameters.
