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Principal - Data and AI

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Schedule - Full time Shift -
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Define and implement AI solutions that create business value

  • Lead organization-wide teams of data science professionals on complex projects

  • Manage relationships with business partners to foster data-driven innovation

  • Provide guidance, training and mentoring to less experienced staff

  • Develop clear presentations for business stakeholders and managers

From the employer’s posting
Defines and implements AI solutions to create business value and innovation.
Leads organization wide team or teams of other data science professionals in complex projects
Manages relationships with business partners to evaluate and foster data driven innovation
Provides guidance, training and mentoring to less experienced staff members.
Develops clear presentations for business stakeholders and managers.
Education & alternatives
• Leads organization wide team or teams of other data science professionals in complex projects • Provides guidance, training and mentoring to less experienced staff members. Education & Experience Recommended • Master's or Ph.D degree in Mathematics, Economics, Physics, Computer Science, or equivalent. • 10+ years of work experience, preferably in data analytics, statistical modeling, machine learning, AI or a related field. Language/s Certification (SQL, Python, or similar) Knowledge & Skills • Proficiency in Python, PySpark and SQL Programming
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Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 20263 days ago
Recorded sightings
4
Last seen by us
Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 7 and day 57.

At HP, jobs usually come down by about day 22.

From 10,547 similar postings that came down, and 78 of HP’s. Coming down is not always a hire.

HP is hiring

45 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Takes jobs down at a usual pace
  • 4% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Databricks
  • PySpark
Where the posting names them
• Leads organization wide team or teams of other data science professionals in complex projects • Provides guidance, training and mentoring to less experienced staff members. Education & Experience Recommended • Master's or Ph.D degree in Mathematics, Economics, Physics, Computer Science, or equivalent. • 10+ years of work experience, preferably in data analytics, statistical modeling, machine learning, AI or a related field. Language/s Certification (SQL, Python, or similar) Knowledge & Skills • Proficiency in Python, PySpark and SQL Programming
Education & Experience Recommended • Master's or Ph.D degree in Mathematics, Economics, Physics, Computer Science, or equivalent. • 10+ years of work experience, preferably in data analytics, statistical modeling, machine learning, AI or a related field. Language/s Certification (SQL, Python, or similar) Knowledge & Skills • Proficiency in Python, PySpark and SQL Programming • Expertise in Databricks: Ability to design, develop, and optimize workflows in Azure Databricks for data processing and feature engineering.
Knowledge & Skills • Proficiency in Python, PySpark and SQL Programming • Expertise in Databricks: Ability to design, develop, and optimize workflows in Azure Databricks for data processing and feature engineering. • Understanding of NLP and GenAI concepts: Familiarity with Large Language Models, prompt engineering for LLMs, vector databases, and Retrieval Augmented Generation (RAG) systems.

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About HP

People
About 55,000 in 2025, down 5% from the year before.Annual report (SEC Form 10-K)
Company
Listed as HPQ.
H-1B visas
41 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,815.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Principal - Data and AI

Description -

Job Summary
• This role is responsible for enabling innovation and creativity by bringing cutting edge perspectives on adopting latest data AI and Machine Learning modelling techniques. The role understands current complex business problems and future business strategy to assess, build and deploy required data mining and modelling capabilities.


Responsibilities
• Defines and implements AI solutions to create business value and innovation.

• Works with Data Science leaders to develop new innovative solutions to existing or new business challenges.

• Develops clear presentations for business stakeholders and managers.

• Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.

• Leads organization wide team or teams of other data science professionals in complex projects
• Provides guidance, training and mentoring to less experienced staff members.

Education & Experience Recommended
• Master's or Ph.D degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
• 10+ years of work experience, preferably in data analytics, statistical modeling, machine learning, AI or a related field.
Language/s Certification (SQL, Python, or similar)

Knowledge & Skills
• Proficiency in Python, PySpark and SQL Programming

• Expertise in Databricks: Ability to design, develop, and optimize workflows in Azure Databricks for data processing and feature engineering.

• Understanding of NLP and GenAI concepts: Familiarity with Large Language Models, prompt engineering for LLMs, vector databases, and Retrieval Augmented Generation (RAG) systems.

• Experience in Applied Statistics and Algorithms, including predictive modelling and A/B test design

• Ability to effectively communicate data insights and negotiate options at senior management levels.

• Strong analytical and problem-solving skills.

• Excellent written and verbal communication skills; mastery in English.

• Experience in deploying industry grade setups: from development to production grade

• familiarity with CI/CD and observability (monitoring)


Cross-Org Skills
• Team leadership

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


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.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (India)

Travel -

No

Relocation -

No

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"

Source details

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Pay

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Location & working pattern

Bengaluru, Karnataka, India

Working pattern and location restrictions need checking in the full posting.

Work authorization
NoEqual Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

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