Hewlett Packard Enterprise is hiring for an FRESHER entry level Data Scientist role in India

Position: Data Scientist

Company: Hewlett Packard Enterprise (HPE)

Location: Bengaluru, Karnataka, India

Job type: Full-time

Job mode: Onsite

Job requisition id: Not provided in the original JD

Years of experience: 0-3 years (Entry Level)

Company description

• Hewlett Packard Enterprise is a prominent global technology vendor operating extensively in edge-to-cloud solutions.

• The organisation dedicatedly assists enterprise customers in seamlessly connecting, protecting, analysing, and acting on complex datasets across diverse digital landscapes.

• The corporate culture thrives on innovation, operational agility, and continually pioneering superior methods to accelerate technology transformation.

• HPE strongly values diverse employee backgrounds, foster flexible work environments, and consistently aim to operate as a unified global force for good.

• Team members are actively encouraged to stretch their professional skill sets, push boundaries, and grow their careers within an supportive enterprise setting.

• The enterprise maintains a steadfast commitment to unconditional workplace inclusion, disability access, equal opportunity employment, and employee well-being globally.

• The workplace structure offers holistic health, wellness, and dedicated professional development initiatives designed to support employees' personal long-term success.

Profile overview

• Operating within the Finance and Corporate Strategy division, this role focuses on supporting high-level capital strategies and operational financial goals.

• The primary objective is gathering, processing, and evaluating critical financial data to guide business decisions and optimize corporate returns on investment.

• The position involves applying mathematical, statistical, computer science, and data engineering methodologies to convert complex datasets into actionable business intelligence.

• Professionals translate complex analytical discoveries into clear, accessible business narratives using dynamic data visualization solutions.

• Candidates embed modern data solutions directly into internal processes, software tools, and management decision systems across business operational units.

• The individual will contribute as a key analytical team member, conducting limited-scope analyses and offering reliable technical recommendations.

• Daily execution requires working with datasets, building analytical workflows, conducting basic hypothesis testing, and supporting overall model validation efforts.

• The role collaborates closely with multi-disciplinary corporate teams to deliver foundational data-driven recommendations under structured guidelines.

Qualifications

• Educational background requires a Bachelor’s degree in Statistics, Computer Science, Operations Research, or a closely related technical field.

• Possession of fundamental understanding regarding data science methodologies, exploratory data techniques, and core predictive analytics concepts.

• Demonstrable understanding of enterprise business requirements and how to effectively translate them into defined analytical objectives.

• Practical familiarity with foundational programming tools and analytics environments such as Python, R, SAS, or SPSS.

• Practical exposure to underlying data integration techniques, data mapping procedures, data migration workflows, and standard ETL software tools.

• Core awareness of basic machine learning concepts, data modeling methods, and predictive statistical frameworks.

• Basic competence in implementing data visualization techniques to present analytical insights clearly to non-technical stakeholders.

• Possesses clear written and oral communication skills suitable for team collaboration and presenting project findings.

• Ability to demonstrate sound technical judgment within established organizational boundaries and clear performance parameters.

Additional info

• Onsite work structure requires the employee to operate primarily from the Hewlett Packard Enterprise facility located in Bengaluru, Karnataka.

• HPE provides robust accessibility services and reasonable accommodations throughout all application stages for individuals with disabilities.

• The corporate benefits framework offers comprehensive healthcare coverage, personal wellness support, and continuous skill enrichment programs.

• Equal employment opportunity policies strictly prohibit discrimination based on gender, race, disability status, sexual orientation, or veteran status.

• The company adheres strictly to local labor regulations regarding background verification and legal history disclosures where applicable.

• Official corporate alerts explicitly inform job seekers that HPE never requests registration fees, hiring charges, or financial details during recruitment.

• Interested applicants are advised to verify all job communications through official company career channels and social media profiles.

Please click here to apply.