Data Scientist - Financial Analytics

Hewlett Packard Enterprise Development LP; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Hewlett Packard Enterprise Development LP is seeking a Data Scientist for Financial Analytics. The role is designed as onsite with primary work from an HPE office in Bengaluru, India.

The Finance and Corporate Strategy team focuses on capital strategies, data analysis, and driving insights for decision making. Responsibilities include data analysis, model development and validation, metadata management, and presenting analytic results.

Qualifications

• Bachelor's degree or equivalent in a quantitative field.
• Foundational knowledge of data science methodologies.
• Awareness of business requirements and data science objectives.
• Familiarity with data mapping, transfer and migration tasks.
• Working knowledge of analytics software (R, SAS, SPSS, Python).
• Basic understanding of machine learning, data integration and ETL tools.
• Good communication and presentation skills.
• Knowledge of data visualization techniques.

Responsibilities

• Participates in data analysis and validation of datasets/solutions/usability.
• Supports development 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 and hypotheses testing.
• Assists in building models for the overall solution and validates results.
• Contributes to selecting models that support the solution.
• Assists in delivering data science solutions and visualization of insights.

Skills

Data science basics

Business requirements

Data mapping

Analytics tools

ML basics & ETL

Communication

Data languages

Data visualization

Education

Bachelor's degree in Statistics/OR/CS or equivalent

Job description

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, 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.

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 Required: 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.

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.

Equal Employment Opportunity

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.

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.

Equal Employment Opportunity is the Law.

Equal Employment Opportunity is the Law - Supplement E-Verify (US & PR only).

E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm the employment eligibility of all newly hired employees. For more information click here.

Disclosure of Sensitive Personal Data

Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.