Skip to content
NewFull-time· datascience · ml
Hewlett Packard Enterprise logo

Hewlett Packard Enterprise

Data Scientist

Pay

₹8L–15L LPA

+22% vs avg

Location

Bangalore

On-site

Batch

2024, 2025, 2026

eligible

Closes

—

Posted 35m ago · 2,356 views this week

₹8L–15L LPA

Full-time · Bangalore · On-site

CareersAt.Tech curates & verifies listings. Always apply on the official company page.

Tailor my resume to this JD

Free AI prompt · built for this exact role

Description

About the role

As a Data Scientist in HPE’s Finance and Corporate Strategy team in Bengaluru, you will turn financial and operational data into actionable insights that guide capital strategy and business decisions. You’ll work with structured and unstructured datasets, build predictive models, and visualise results for stakeholders.

Responsibilities

  • Analyse and validate data sets and user‑experience requirements.
  • Develop, enhance and maintain metadata aligned with analytic goals, including loading data into the platform.
  • Prepare data for exploratory analysis and hypothesis testing.
  • Build and evaluate predictive models, selecting the best performing solution.
  • Support research and delivery of data‑science solutions to business problems.
  • Create visualisations and dashboards to communicate model insights.

Eligibility

  • Bachelor’s degree in Statistics, Operations Research, Computer Science or a related field.
  • Basic understanding of data‑science methodologies and business requirements.
  • Familiarity with analytics tools such as Python, R, SAS or SPSS.
  • Introductory knowledge of machine‑learning concepts and ETL tools (e.g., Informatica, Talend).

Skills

  • Python programming
  • R programming
  • Machine learning fundamentals
  • Statistical analysis (SAS, SPSS)
  • ETL tools (Informatica, Talend)
  • Data visualization techniques

Benefits

  • Comprehensive health and wellbeing benefits for you and your family.
  • Structured personal and professional development programmes.
  • Inclusive culture that values diverse backgrounds and flexible work arrangements.
  • Opportunities to work on cutting‑edge analytics projects within a global tech leader.

Skills

· 10 total
pythonrmachine learningsasspssinformaticatalendetldata visualizationstatistics