Principal - Data and AI

HP

Bengaluru

On-site

INR 4,000,000 - 7,000,000

Full time

47 hours ago
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Job summary

HP in Bengaluru seeks a Principal - Data and AI to lead cutting-edge data mining, modelling, and ML initiatives that align with business strategy and drive innovation. You will work with Data Science leaders to develop solutions, present findings to senior stakeholders, mentor teams, and guide cross-organizational projects from development to production.

The role requires a PhD or Master’s and 10+ years in data analytics, ML, and AI, with strong Python/SQL skills and experience in Databricks,

Qualifications

  • Master's or PhD in Mathematics, Economics, Physics, Computer Science, or equivalent.
  • 10+ years of work experience in data analytics, ML, AI or related field.
  • Proficiency in Python, PySpark and SQL; experience with Databricks and NLP/GenAI concepts.

Responsibilities

  • Defines and implements AI solutions to create business value and innovation.
  • Works with Data Science leaders to develop new innovative solutions to business challenges.
  • Develops clear presentations for business stakeholders and managers.
  • Manages relationships with business partners to foster data-driven innovation and provide domain expertise.
  • Leads organization-wide teams of data science professionals on complex projects.
  • Provides guidance, training and mentoring to staff.

Skills

Python
PySpark
SQL
Databricks
NLP/GenAI
Statistical Modeling
Leadership
Communication
CI/CD
Observability
Vector Databases

Education

Master's or PhD

Tools

Azure Databricks

Job description

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
  • 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/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 Details

Job - Data & Information Technology Schedule - Full time Shift - No shift premium (India) Travel - No Relocation - No

Equal Opportunity Employer (EEO)

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”.

Company Culture

You want to reshape the way the world works. So do we. You’re looking for more than just a job; you’re looking to make a difference. That means creating something new. Something that matters. Something that changes how the world works for the better. A career at HP can help you build the tomorrow you want. Let’s grow together.

You can be yourself at HP. Learn more

Privacy, Terms of Use, and Accessibility

Our founders believed that business exists when people work together to ‘accomplish something collectively which they could not accomplish separately.’ We uphold a zero-tolerance policy towards discrimination and treat everyone with respect. By maintaining these principles, we empower the HP team to contribute to our collective success and the future of work. Learn more about HP personal data practices at Privacy Statement, Personal Data Rights Notice (where applicable), Accessibility at HP, and Terms.

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