Senior Data Scientist

Key Skills

Python Programming, Big Data Technology, Aartificial intelligence, Machine learning techniques, Data Visualization, Deep Learning, Natural Language Processing (NLP), Tableau, R Programming, Statistics, Algorithms, SQL Tuning, Statistical modeling, Predictive Modeling, Data Analysis, Data Governance

Job Description

At HP, you’ll have a chance to create tools, technology, and solutions that reshape the way the world works in the future. If you’re looking to join a company that allows you to connect with a network of professionals eager to support you in doing your best work, we want to talk to you. Our legendary culture guides every employee toward success—fostering collaboration and driving innovation.

Operating in over 170 countries, HP is always creating new services, products, and capabilities giving you more opportunities to advance your career. Here, innovation is the key to professional development and career mobility.

When you join HP, you’re joining a company that believes every voice matters and that we all deserve a seat at the table. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves. You will be part of a global laboratory where different perspectives and experiences will help you solve problems in new ways. This is where you can build a long and wide-ranging career.

Job Summary

Define and execute the Finance data strategy to establish a trusted enterprise data foundation that enables transformation, AI, automation, and advanced analytics. Lead data governance, quality, stewardship, standards, and business data architecture while enabling development of scalable data products, standardized KPIs, and enterprise data models. Partner across Finance, IT, and business functions to ensure trusted, accessible, and AI-ready data that accelerates decision-making and delivers measurable business value. The role will also be responsible to dive data literacy programs for finance users

Responsibilities

• Define and maintain the Finance Data Strategy and roadmap aligned with Finance and enterprise transformation priorities.
• Partner with IT and BI teams to establish and govern Finance data policies, standards, ownership, and stewardship to ensure trusted, consistent, and compliant data.
• Drive the Finance data governance operating model, including governance forums, decision-making, and accountability across functions.
• Define the target Finance data architecture, critical data domains, enterprise data models, and standardized business definitions.
• Prioritize strategic data capabilities and investments to enable AI, automation, analytics, and digital transformation.
• Establish data quality, metadata, lineage, and governance frameworks, monitoring adherence through appropriate governance mechanisms.
• Partner with Finance, IT, Enterprise Data, and business leaders to align data priorities, influence enterprise data strategy, and resolve cross-functional data challenges.
• Define governance metrics and oversee the maturity and adoption of Finance data capabilities, ensuring alignment with strategic business outcomes.

Education & Experience Recommended

• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 10+ years of work experience, preferably in data architecture, strategy, data policies, governance and driving analytics, statistical modelling, machine learning, or a related field initiatives for finance domain

Knowledge & Skills

Data Architecture, polices and standards, Data governance, Federated Data Lake, Azure service, Algorithms, Amazon Web Services, Apache Spark, Artificial Intelligence, Big Data, Computer Science, Data Analysis, Data Mining, Data Science, Data Visualization, Deep Learning, Machine Learning, Natural Language Processing, Predictive Modeling, Python (Programming Language), R (Programming Language), SQL (Programming Language), Statistical Modeling, Statistics, Tableau (Business Intelligence Software)

Cross-Org Skills

Effective Communication, Results Orientation, Learning Agility, Digital Fluency, Customer Centricity

Impact & Scope

Impact finance wide data strategy working with senior IT, Finance and Business stakeholder

Complexity

Provides highly innovative solutions to complex problems within established policy.

Disclaimer

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.