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 that influence strategic decisions.
Collaborate with application developers to embed analytics into large-scale business processes and operational systems, enhancing value delivery.
Provide technical leadership for analytics projects, applying deep expertise and innovation to solve complex finance and strategy problems.
Minimum Requirements
PhD in Statistics, Operations Research, Computer Science or equivalent with 5+ years experience OR Master's degree in these fields with at least 8 years experience.
Extensive knowledge of data science methodologies including regression, neural nets, CHAID, CART, association rules, sequence and cluster analysis, and text mining.
Proficiency in analytics software and programming languages such as R, SAS, SPSS, Python, SQL, Java, Unix Shell scripting; experience with Hadoop framework desired.
Work location: Primarily onsite at HPE office in India (onsite requirement explicitly mentioned).
Ideal Candidate Profile
Experienced data scientist with strong background in finance transformation and corporate strategy analytics.
Demonstrates ability to translate complex business requirements into analytical models that drive measurable outcomes and strategic influence.
Comfortable working cross-functionally with application developers and senior stakeholders, providing technical leadership and mentoring on analytics solutions.