Finance Transformation Data Scientist
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Job Description
Structured overview of role & requirementsAbout This Role
Lead the design and development of advanced analytic models to transform financial data into actionable business insights within the Finance and Corporate Strategy domain.
Define analytics solution objectives and embed analytic models into large-scale business processes and operational systems, collaborating with Application Developers.
Influence strategic decisions by deploying innovative data science methodologies and providing clear, business-focused visualizations and insights.
Minimum Requirements
PhD in Statistics, Operations Research, Computer Science or equivalent with 5+ years relevant experience; OR Master’s degree with at least 8 years relevant experience.
Extensive knowledge of data science methods (classical regression, neural nets, CHAID, CART, cluster analysis, text mining) and analytics software (R, SAS, SPSS, Python).
Advanced skills in machine learning, data integration, mathematical modeling, ETL tools (Informatica, AbInitio, Talend) and programming languages including Python, SQL, R, SAS, Java, Unix Shell scripting.
Onsite work requirement at HPE office in India.
Ideal Candidate Profile
Experienced in leading large-scale finance analytics projects with a focus on embedding models into business processes and operational systems.
Demonstrates deep industry expertise in financial data transformation and the ability to translate complex business requirements into mathematical models.
Possesses recognized authority in data science within cross-functional teams, with strong communication skills to influence strategic decisions and mentor others.