Senior Data Scientist

HP
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Effective communication","Results orientation","Learning agility","Digital fluency","Customer centricity"]

Define and execute the Finance data strategy to build a trusted enterprise data foundation that enables AI, automation, and advanced analytics. Lead data governance, quality, stewardship, standards, and finance business data architecture, including scalable data products and standardized KPIs/models. Partner with Finance, IT, BI, and business leaders to ensure AI-ready, compliant, accessible data, and build data literacy programs for finance users.

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FursaFursa
HP
HP
4 days ago

Senior Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Define and execute the Finance data strategy to build a trusted enterprise data foundation that enables AI, automation, and advanced analytics. Lead data governance, quality, stewardship, standards, and finance business data architecture, including scalable data products and standardized KPIs/models. Partner with Finance, IT, BI, and business leaders to ensure AI-ready, compliant, accessible data, and build data literacy programs for finance users.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define and maintain the Finance Data Strategy and roadmap aligned with Finance and enterprise transformation priorities to enable AI, automation, and advanced analytics.
  • •Establish finance data governance to create trusted, standardized, and AI-ready data across Finance and partner functions.
  • •Partner with IT and BI teams to set and govern Finance data policies, standards, ownership, and stewardship for consistent and compliant data.
  • •Define the target Finance data architecture, critical data domains, enterprise data models, and standardized business definitions.
  • •Establish data quality, metadata, and lineage frameworks, and oversee governance metrics to track maturity and adoption of Finance data capabilities.

Key Requirements

  • •Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or a related discipline, or equivalent experience.
  • •Typically 10+ years of work experience in data architecture, strategy, data policies, governance, and driving analytics.
  • •Experience with statistical modeling, machine learning, and related initiatives in the finance domain.
  • •Ability to define and maintain data architecture, critical data domains, and enterprise data models with standardized business definitions.
  • •Experience establishing and monitoring data quality, metadata, and lineage frameworks via governance mechanisms.
Experience:Finance domainData governanceAdvanced analyticsMachine learning
Education:Bachelor's in Mathematics, Statistics, Economics, Computer Science, Data Science, or related discipline
Skills:Effective communicationResults orientationLearning agilityDigital fluencyCustomer centricity
Tech Stack:AzureAmazon Web ServicesApache SparkPythonRSQLTableauNatural Language ProcessingDeep LearningMachine LearningPredictive ModelingArtificial IntelligenceBig Data

Company Brief

HP
Designs and manufactures personal computers, printers, and related supplies, as well as provides software, services, and solutions for consumers and enterprises worldwide.
Industry: Hardware Devices
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Palo Alto, United States
Founded: 1939
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn