Data Scientist - Financial Analytics

Hewlett Packard Enterprise India Private Limited; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Hewlett Packard Enterprise India Private Limited is seeking a Data Scientist - Financial Analytics to join our Finance and Corporate Strategy team in Bengaluru. The role focuses on analyzing financial data to influence investment decisions and drive strategic outcomes for the global company.

The position requires a strong foundation in statistics, data science, and analytics tools, with hands-on experience in modeling, data visualization, and translating insights into business actions.

Qualifications

• Bachelor’s degree in Statistics, Operations Research, Computer Science or equivalent.
• Basic knowledge of data science methodologies.
• Basic understanding of analytics software (R, SAS, SPSS, Python).
• Basic data mapping, data transfer and data migration skills.

Responsibilities

• Participates in analysis and validation of data sets/solutions/user experience.
• Aids in development, enhancement and maintenance of client metadata based on analytic objectives.
• Loads data into infrastructure and contributes to hypothesis matrix creation.
• Prepares data for Exploratory Data Analysis (EDA).
• Contributes to building models for the overall solution and validates results.

Skills

Basic data science methodologies

Python

R

SAS

SPSS

Pandas/Numpy

Data visualization

Communication skills

Education

Bachelor’s degree in Statistics / Operations Research / Computer Science

Tools

Informatica

Ab Initio

Talend

ETL tools

Job description

Data Scientist - Financial Analytics

Data Scientist - Financial Analytics Data Scientist - Financial Analytics

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, analyse, 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

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:

Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.

What you'll do:

Responsibilities:

• Participates in the analysis and validation of data sets/solutions/user experience.
• Aids in the development, enhancement and maintenance of a client’s metadata based on analytic objectives.
• May load data into the infrastructure and contributes to the creation of the hypothesis matrix.
• Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
• Contributes to building models for the overall solution, validates results and performance.
• Contributes to the selection of the model that supports the overall solution.
• Supports the research, identification and delivery of data science solutions to problems.
• Supports visualization of the model’s insights, user experience and configuration tools for the analytics model.

What you need to bring:

Education and Experience Require d:

Bachelor’s degree in Statistics, Operations Research, Computer Science or equivalent.

Knowledge and Skills:

• Basic knowledge of data science methodologies.
• Basic understanding of business requirements and data science objectives.
• Basic data mapping, data transfer and data migration skills.
• Basic understanding of analytics software (eg. R, SAS, SPSS, Python).
• Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend).
• Basic communication and presentation skills.
• Basic data knowledge of relevant data programming languages.
• Basic knowledge of data visualization techniques.

#Finance 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.

What We Can Offer You:

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.

Let’s Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

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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 to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

Please click here: Equal Employment Opportunity .

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.