Finance Transformation Data Scientist

Hewlett Packard Enterprise India Private Limited; Bengaluru; On-site; INR 1,400,000 - 2,000,000; Full time

Benefits offered by this job

Health & Wellbeing

Personal & Professional Development

Unconditional Inclusion

Job summary

Hewlett Packard Enterprise India Private Limited in Bengaluru seeks a Finance Transformation Data Scientist to design and implement analytics solutions. You will lead modeling efforts, translate financial data into actionable insights, and collaborate with engineering teams to deploy scalable analytics across finance domains.

The role emphasizes advanced analytics, statistical modeling, and visualization to drive strategic decisions.

Qualifications

• PhD in Statistics, OR, CS or equivalent with 5+ years of experience OR Master’s with 8+ years of experience.
• Strong proficiency in Python/R/SAS for advanced analytics.
• Experience translating business needs into mathematical models and actionable insights.

Responsibilities

• Define analytics objectives and requirements based on business needs.
• Develop and refine analytics models using statistical and ML techniques.
• Translate insights into clear business narratives and visuals for stakeholders.
• Embed analytics models into client processes and systems with developers.
• Lead or contribute to cross-functional analytics initiatives.

Skills

Python

R

SQL

Machine learning

Data visualization

Education

PhD in Statistics/Operations Research/Computer Science

Tools

Hadoop

Spotfire

Tableau

SAS

Python libraries (scikit-learn, pandas)

Job description

Finance Transformation Data Scientist 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:

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 methodologies including but not limited to classical regression, neural nets, CHAID, CART, association rules, sequence analysis, cluster analysis, and text mining. Ability to translate business requirements into mathematical models and data science objectives to achieve measurable business outcomes. Extensive understanding of analytics software (eg. R, SAS, SPSS, Python). Advanced understanding of analytics deployment architectures. Extensive machine learning, data integration and mathematical modeling skills and ETL tools (Informatica, AbInitio, Talend). Advanced communication and presentation skills. Excellent interpersonal skills and effectiveness in working across geographical boundaries. In-depth knowledge of programming languages such as Python, SQL, R, SAS, Java, Unix Shell scripting. In-depth knowledge of Hadoop framework desired. In-depth knowledge of data visualization techniques and software tools (eg. Spotfire, SAS, R, Qlikview, Tableau, HTML5, D3).

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

• Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
• Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
• Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

Job: Engineering Job Level: TCP_05

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. HPE is EEO Protected Veteran/ Individual with Disabilities.