# Finance Transformation Data Scientist at Hewlett Packard Enterprise

Hewlett Packard Enterprise is hiring a Finance Transformation Data Scientist in Bengaluru, India. Level rates it Works on AI ●●●○; you can [apply on Hewlett Packard Enterprise](https://jobsbylevel.com/go/227cc90d-4fbe-4fff-b367-b52e07133812?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Bengaluru, Karnātaka, India.

## Details

- Company: [Hewlett Packard Enterprise](https://jobsbylevel.com/companies/hewlett-packard-enterprise)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Bengaluru, Karnātaka, India
- Posted: September 30, 2026
- Apply: https://jobsbylevel.com/go/227cc90d-4fbe-4fff-b367-b52e07133812?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=finance-transformation-data-scientist-at-hewlett-packard-enterprise-546612

## Prepare for this job

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## Description

Finance Transformation Data Scientist This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: In the Finance and Corporate Strategy team we ensure that the business’s capital strategies are operationally supported and strategically focused. This is how we work to secure the greatest return on investment for the global company. By gathering and analysing financial data we can influence decisions within the business, drive initiatives, and help ensure alignment with our wider objectives. Join us redefine what’s next for you. Job Family Definition: Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributions have visible technical impact on a product or major subcomponent. Applies in-depth professional knowledge and innovative ideas to solve complex problems. Visible contributions improve time-to-market, achieve cost reductions, or satisfy current and future unmet customer needs. Recognized internal authority on key technology area applying innovative principles and ideas. Provides technical leadership for significant project/program work. Leads or participates in cross-functional initiatives and contributes to mentorship and knowledge sharing across the organization. What you’ll do: Responsibilities: Defines and develops the value proposition to lead the formulation and definition of analytics solution objectives and technical requirements based on user needs, an understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing, process). Conceptualizes, builds, develops, and enhances a client's analytic model. Determines the right modeling methodology to the use case, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business focused insights. Embeds analytic models into enhanced large scale business processes and operational systems by collaborating with Application Developers. As a recognized authority, applies analytic methods and adds to problem domains. Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models. Influences a client's strategic decisions by using deep industry expertise and deploying innovative analytics solutions in the operational systems What you need to bring: Education and Experience Required: PhD degree in Statistics, Operations Research, Computer Science or equivalent and 5+ years of relevant experience. Or Master´s Degree in these areas and at least 8 years of relevant experience. Knowledge and Skills: Extensive knowledge of data science

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