Bengaluru, Karnataka, India · Hybrid
Supply Chain Data Scientist This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud…
Skills: Predictive Modelling, Machine Learning, Generative AI, Retrieval Augmented Generation, LLM Engineering
Bengaluru, Karnataka, India · On-site
Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We're a company of people who like to forge our own path and leave the world better than we found it. Who believe that …
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · Hybrid
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
Role Supply Chain Intern will be responsible for supporting purchase order and distribution order management while ensuring data integrity and timely maintenance of receipt schedules and goods-in-transit records. Will as…
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · Hybrid
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · Hybrid
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Bengaluru, Karnataka, India · Hybrid
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Bengaluru, Karnataka, India · On-site
$1400k/yr
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Bengaluru, Karnataka, India · On-site
Industry/Sector Specialism Oracle Management Level Senior Associate Job Description & Summary The Opportunity Join our Acceleration Center India and help shape the future of business for our diverse client portfolio acro…
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Bengaluru, Karnataka, India · Hybrid
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice an…
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · On-site
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Bengaluru, Karnataka, India · Hybrid
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Bengaluru, Karnataka, India · On-site
The Event Program Manager will execute end-to-end operations and delivery of specific event workstreams or programs within AWS's event portfolio. This role requires strong program management skills and the ability to man…
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Design and deploy advanced analytics and AI-driven solutions to enhance supply chain visibility and operational efficiency. Develop predictive models and AI-powered copilots using Generative AI and RAG systems to transform data into actionable insights.
Requires a Master's degree in a quantitative field or a Bachelor's degree with 2-3 years of relevant experience. Proficiency in ML ecosystems, LLM orchestration frameworks, and distributed data platforms is essential.
This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
HPE Operations is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers’ outcomes from their digital transformation. Our teams collaborate to transform insight into innovation. In today’s fast-paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Join us and redefine what’s next for you.
Job Family Definition:
Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. predictive analytics, optimization, artificial intelligence) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making.
Uses visualization techniques to translate analytic insights into understandable business stories (e.g., predictive analytics, optimization, artificial intelligence).
Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems.
Management Level Definition:
Contributions include applying an intermediate level of subject matter expertise to solve common technical problems. Acts as an informed team member providing analysis of information and recommendations for appropriate action. Works independently within an established framework and with moderate supervision.
The Supply Chain Data Scientist is responsible for designing and deploying advanced analytics and AI-driven solutions that enhance visibility, decision-making, and operational efficiency across Supply Chain Planning and Operations (SCPO) and Business Units.
This role combines predictive analytics, machine learning, and Generative AI techniques to transform structured and unstructured data into scalable intelligence products. The individual will develop predictive models for supply chain insights (e.g., demand signals, risk prediction, lifecycle analytics) while also building AI-powered copilots, Retrieval-Augmented Generation (RAG) systems, and intelligent knowledge assistants to enhance business process.
The Supply Chain Data Scientist plays a critical role in advancing SCPO’s analytics and AI capabilities by combining classical data science methodologies with modern Generative AI systems.
Applies basic knowledge of the client's business needs to formulate and define analytic objectives. Uses available data elements, defines business rules, and solution objectives.
Designs, develops, and applies programs, methodologies, and systems based on advanced analytics models (e.g., predictive analytics, optimization, and artificial intelligence) to transform structured and unstructured data into meaningful and actionable insights that drive decision-making.
Builds models to support/contribute to the overall solution, validates the initial model, and validates results & performance after the implementation.
Researches, identifies, and aids in machine learning and artificial intelligence solutions to problem domains. Contributes significantly to the measurement of business performance based on the model deployed. If needed, leads the model enhancements.
Create visualization of the model's insights for easy consumption
Education and Experience Required:
Master´s degree in Statistics, Operations Research, Computer Science, Artificial Intelligence, or equivalent preferred. Or a bachelor´s degree in these areas and at least 2-3 years of relevant experience.
Knowledge and Skills:
Advanced Analytics and Machine Learning
Predictive modelling and statistical analysis
Optimization and time series analysis
Feature engineering and model validation
ML life cycle
Generative AL & LLM Engineering
Retrieval Augmented Generation (RAG) systems
AI copilots and agent-based workflows
Model Context Protocol (MCP) integration
Prompt engineering and evaluation frameworks
LLM orchestration frameworks (LangChain, LangGraph, etc.)
Data Engineering & Platforms
ML ecosystem (Python, Pandas, Scikit-learn, SQL)
Distributed data platforms (Databricks, PySpark)
Vector databases and semantic search
Visualization and Communication
Data storytelling and executive level presentations
Dashboarding tools (Power BI, Tableau)
Translating analytics insights into operational actions
Other
Solid communication and presentation skills.
Strong interpersonal skills and effectiveness in working across geographical boundaries.
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
Official LinkedIn of Hewlett Packard Enterprise, the global edge-to-cloud company. Sharing our passion and purpose through technology and innovation.
Offices: 1701 E Mossy Oaks Rd Spring, Houston, Texas 77389, US
There are currently 801 open logistics positions in Bengaluru, India listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Amazon, Accenture, Genpact, Thermo Fisher Scientific, PwC, among others. Browse the listings above to see every active employer.
Yes — 136 of the 801 open logistics positions offer remote or hybrid work (8 remote, 128 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
