{"id":3741457,"url":"https://alion.io/job/hp-principal-data-and-ai","title":"Principal - Data and AI","company":{"id":2088298,"name":"HP","domain":"hewlett-packard.de","url":"https://alion.io/company/hewlett-packard-de","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":156,"ghost_share":0,"stale_share":0.859,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-04T11:51:06Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-05T11:01:13Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Principal - Data and AIDescription -\nJob Summary\nThis 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.\n Responsibilities\nDefines and implements AI solutions to create business value and innovation.\nWorks with Data Science leaders to develop new innovative solutions to existing or new business challenges.\nDevelops clear presentations for business stakeholders and managers.\nManages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.\nLeads 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\nExpertise in Databricks: Ability to design, develop, and optimize workflows in Azure Databricks for data processing and feature engineering.\nUnderstanding of NLP and GenAI concepts: Familiarity with Large Language Models, prompt engineering for LLMs, vector databases, and Retrieval Augmented Generation (RAG) systems.\nExperience in Applied Statistics and Algorithms, including predictive modelling and A/B test design\nAbility to effectively communicate data insights and negotiate options at senior management levels.\nStrong analytical and problem-solving skills.\nExcellent written and verbal communication skills; mastery in English.\nExperience in deploying industry grade setups: from development to production grade\nfamiliarity with CI/CD and observability (monitoring)\n Cross-Org Skills\nTeam leadership\nEffective Communication\nResults Orientation\nLearning Agility\nDigital Fluency\nCustomer Centricity\n Disclaimer\nThis 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. \nJob -\nData & Information TechnologySchedule -\nFull timeShift -\nNo shift premium (India)Travel -\nNoRelocation -\nNoEqual Opportunity Employer (EEO)-\nHP, 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).\nPlease 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. 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