Job Title Job Description No of
Positions
Robotic Process Roles & Responsibilities: 2
Automation Engineer • Analyze business processes to identify automation opportunities and recommend solutions.
• Design, develop, test, and deploy Automation using technologies like Automation Anywhere, Power Automate, Custom Full stack
Frameworks.
• Collaborate with stakeholders to gather requirements and translate them into technical automation workflows.
• Integrate AI/ML capabilities into automation solutions using tools such as Azure AI, OpenAI APIs, and document understanding framework.
• Support and maintain existing automation solutions ensuring performance, reliability, and scalability.
• Document process flows, technical specifications, and user guides for automation solutions.
• Participate in code reviews, testing cycles, and deployment activities.
• Monitor bot performance and troubleshoot issues to ensure smooth operations.
• Stay current with emerging trends in RPA, AI, and ML to contribute innovative ideas to the team. Generative AI and Copilot: Hands-on with
agentic automation, Copilot, and LLMs. Cross-Functional Collaboration: Work with Business, IT, Cyber, and Privacy teams.
Recommended Experience:
• Basic programming knowledge in languages such as Python, Java, or C#.
• Familiarity with RPA platforms like Automation Anywhere, UiPath, or Power Automate.
• Exposure to AI/ML tools such as Azure Machine Learning, OpenAI or TensorFlow.
• Understanding of software development lifecycle and agile methodologies.
• Strong analytical thinking and problem-solving skills.
• Effective communication and collaboration abilities.
• Prior internship or academic project experience in automation, AI, or software development is beneficial.
Software Developer Responsibilities: 1
• Collaborate and assist senior developers Assist in the design, development of software applications.
Java, Spring “ OR • Write clean, maintainable, and well-documented code.
“JavaScript, Angular, • Participate in code reviews, debugging, and troubleshooting software issues.
HTML, CSS Qualifications:
• Currently pursuing a Bachelor’s or Master’s degree in computer science, Software Engineering, Data Science, or a related field.
• Strong foundation in object-oriented programming (Python, Java, C++, or similar).
• Strong Knowledge of HTML, CCS, JavaScript, Angular/React JS, Java, Spring
• Exposure to AI/ML concepts and models
• Knowledge of APIs, version control (Git), and databases is a plus.
Software Developer Qualifications: 1
• Currently pursuing a Bachelor’s or Master’s degree in computer science, Software Engineering, Data Science, or a related field.
C#, .NET • Strong foundation in object-oriented programming (Python, Java, C++, or similar).
• Strong Knowledge of C# & .NET
• Exposure to AI/ML concepts and models
• Knowledge of APIs, version control (Git), and databases is a plus.
Software Developer Qualifications: 1
• Currently pursuing a Bachelor’s or Master’s degree in computer science, Software Engineering, Data Science, or a related field.
Java, Spring, JavaScript, • Strong foundation in object-oriented programming (Python, Java, C++, or similar).
React JS, HTML, CSS • Strong Knowledge of HTML, CSS, JavaScript, ReactJS, Java, Spring
• Exposure to AI/ML concepts and models
• Knowledge of APIs, version control (Git), and databases is a plus.
Business & Content Skills 1
Technical Enablement Java, C++, Python, JavaScript or similar, AWS, API
Responsibilities
• Enhances and Enables Business Knowledge applications in various software languages.
• Facilitates transformation of acquired businesses to HP Knowledge delivery standards.
• Develops and maintains application design, program specification documents, and proprietary web applications when needed to facilitate
migration from legacy technology to HP Inc.’s industry leading best practices for information creation, translation, automation,
transformation and delivery.
• Conducts a wide range of tests and analyses to ensure hardware and/or software meets or exceeds standards and end-user requirements.
• Participates in a collaborative team supporting current applications, as well as future technology platforms that touch every part of business
including Machine Learning and Generative AI and Agentic technology to deliver efficient relevant information to resolve customer inquiries
about HP’s leading PS, Print and 3D products.
• Helps in customer support, technical need analysis, interface programming and testing.
• Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information via standardized
reports.
• Troubleshoots incidents, identifies root cause, documents problems, and implements preventative measures.
• Reports daily project status at team meetings and documents all code changes in issue tracking system.
• Stays updated with the latest industry trends, technologies, and best practices. Proposes innovative ideas and solutions to enhance existing
products or develop new ones
Data Product Engineer Education & Experience Required 2
• Enrolled in the final year of a four-year degree program in Computer Science or related discipline, completing internship as part of curriculum
requirements.
Preferred Skills & Certifications
• Programming experience in SQL and Python.
• Knowledge of DataBricks, Azure Cloud, and PowerBI.
• Familiarity with AI tools for data engineering and analysis (e.g., DataBricks Assistant, GitHub Copilot).
• Understanding data engineering, analytics, and reporting in a cloud environment.
• Coursework or exposure to machine learning, data modeling, and ETL processes is an asset.
Knowledge & Skills
• Data Engineering and Data Analysis
• Data Modeling and Data Pipelines
• SQL (Programming Language)
• Python (Programming Language)
• Microsoft Azure
• DataBricks Platform
• PowerBI Reporting, ThoughtSpot
• AI Tools for Data Science (DataBricks Assistant, GitHub Copilot)
• Extract, Transform, Load (ETL)
• Agile Methodology
• Effective Communication
• Learning Agility & Results Orientation
• Digital Fluency
• Customer Centricity
Data Engineer Key responsibilities 4
• Data pipeline development: Design, build, and maintain scalable pipelines using Azure Data Factory and Databricks for ingestion and
transformation.
• Data integration: Consolidate data from multiple sources into structured, analytics-ready datasets for BI and reporting.
• Data storage and management: Implement efficient, secure storage patterns aligned to enterprise standards and best practices.
• Data quality and optimization: Validate datasets, monitor pipelines, and tune performance across compute and storage layers.
• Collaboration: Partner with data scientists, analysts, and software engineers to support data-driven initiatives and deliver value.
• Documentation: Produce clear, complete documentation for workflows, models, and operational processes.
• Security and compliance: Apply governance, access controls, and security protocols to meet internal and external standards.
Preferred qualifications
• Pursuing a Bachelor’s in Computer Science, Information Technology, Data Engineering, Information Systems, or a related field.
• Familiarity with SQL and Python, with exposure to cloud platforms (preferably Azure).
• Exposure to Databricks, Spark, or similar data engineering tools and frameworks.
• Understanding of data modeling, ETL processes, and version control (e.g., Git/GitHub).
• Strong analytical, problem-solving, communication, and teamwork skills
Data Engineer Digital Education & Experience Required 2
Insights & Analytics Enrolled in the final year of a four-year degree program in Computer Science or related discipline, completing internship as part of curriculum
requirements.
Preferred Skills & Certifications
• Programming experience in SQL and Python.
• Knowledge of visualization tools like PowerBI would be good.
• Knowledge of cloud data platforms (AWS, GCP, Azure).
• Prior exposure to customer support datasets or conversational AI systems.
• Familiarity with AI tools for data engineering and analysis (e.g., DataBricks Assistant, GitHub Copilot).
• Understanding data engineering, analytics, and reporting.
• Experience with data processing libraries (Pandas, NumPy, PySpark preferred).
• Familiarity with machine learning basics and text analytics (NLP).
• Coursework or exposure to machine learning, data modeling, and ETL processes is an asset.
Software Developer Responsibilities: 1
AI/ML • Collaborate and assist senior developers Assist in the design, development, and testing of software applications.
• Write clean, maintainable, and well-documented code.
• Participate in code reviews, debugging, and troubleshooting software issues.
• Research and experiment with new tools, frameworks, and libraries related to AI and software development.
Qualifications:
• Currently pursuing a Bachelor’s or Master’s degree in computer science, Software Engineering, Data Science, or a related field.
• Strong foundation in object-oriented programming (Python, Java, C++, or similar).
• Familiarity with data structures, algorithms, and software development best practices.
• Exposure to AI/ML concepts and models
• Exposure with Python libraries/frameworks such as NumPy, Pandas, TensorFlow, or PyTorch (coursework or projects is acceptable).
• Knowledge of APIs, version control (Git), and databases is a plus.
IT SAP Order to Invoice We are looking for a highly motivated and detail-oriented IT SAP Order to Invoice (O2I) Intern to join our Information Technology team. In this role, you 1
Intern will support the end-to-end Order-to-Cash (O2C) process using the SAP Sales & Distribution (SD) module and gain exposure to enterprise-level IT
systems.
This internship is ideal for candidates interested in the intersection of business processes, ERP systems, and supply chain technology
Key Responsibilities:
• Assist in supporting the Order-to-Invoice process within SAP SD, from sales order creation to billing and invoicing.
• Help document, analyse current business processes, and SAP system configurations.
• Participate in user support activities: troubleshooting issues related to sales orders, deliveries, and billing documents.
• Support system testing (unit, integration, and UAT) for SAP enhancements or changes.
• Work with cross-functional teams including Sales, Supply Chain, Finance, and IT to understand their SAP-related needs.
Preferred Qualifications:
• Currently pursuing a bachelor’s in information technology /Computer Science & Engineering
• Basic understanding of ERP concepts and supply chain or sales processes.
• Interest in SAP systems, particularly the Sales & Distribution (SD) module.
• Strong analytical and problem-solving skills.
• Good communication and organizational skills.
• Proficiency in Microsoft Excel, PowerPoint, and Word.
• Willingness to learn and work in a collaborative, fast-paced environment.
Supply chain planning Position Overview: 1
HP is looking for a young, upcoming graduate from a school to repute to join their IT supply chain planning organization. Candidate should possess an
aptitude for supply chain, problem solving skills, data analysis and should be willing to focus on gaining knowledge of Functional / technical aspects.
Intern is also expected to work collaboratively on teams to support projects that improve our internal and external communication and operational
efficiencies.
Key Responsibilities:
• Assist project teams with minor configurations, support testing, documentation.
• Gain supply chain awareness by completing relevant trainings.
• Work with support team to analyse issues related to planning.
• Understand current business processes and SAP system configurations.
• Support system testing (unit, integration, and UAT) for SAP enhancements or changes.
• Identify or engage in a mini project to gain understanding of supply chain processes.
Preferred Qualifications:
• Should be in final year of Engineering course.
• Willing to invest full time during period of internship.
• Interest to learn SAP systems / processes.
• Good communication and organizational skills.
• Willingness to learn and work in a collaborative, fast-paced environment.
Business Analyst & Key Responsibilities 1
Application Deep Business Analysis & Product Delivery (≈60%)
Support • Elicit and document requirements (epics, user stories, acceptance criteria) for enhancements and new capabilities across Partner Contra &
Channel Reporting use cases (rebates/contra modeling, accruals, settlements, partner scorecards).
• Process and data mapping: create BPMN/process flows, data lineage, and entity mappings spanning upstream partner systems through
analytics layers to reports/dashboards (e.g., Power BI).
• Backlog management: prioritize with Product Owner; refine stories; define definition-of-ready/done; maintain clear traceability from
business goals to test cases.
• UAT leadership: plan scenarios, coordinate SIT/UAT, capture defects, and sign-off with business; contribute to release notes and adoption
guides.
• Insights & automation: collaborate with engineering on opportunities to streamline data pipelines and introduce AI-assisted analysis and
productivity tooling where appropriate.
• Stakeholder engagement: run workshops, demos, and retros; communicate decisions, risks, and trade-offs in business terms.
Production Support & Reliability (≈40%)
• Incident management: triage production issues impacting partner contra calculations and channel reporting; assess business impact,
communicate status/ETAs; coordinate swarming and escalation.
• Problem management: drive root-cause analysis (RCA), document corrective/preventive actions, and track follow-ups to closure; maintain a
knowledge base and runbooks.
• Operational excellence: monitor data loads and reports; validate data quality (DQ) checks; track and report SLA/MTTR/defect escape rate;
contribute to on-call rotation as needed.
• Change & release management: partner with engineering for safe deployments; validate post-release health; ensure compliance and
auditability for financial/partner-impacting changes.
• Tooling & environment awareness: collaborate closely with teams operating Azure Databricks/ADF, Informatica, and Power BI to verify fixes
and confirm end-to-end recovery after incidents.
Education & Experience Required
• Enrolled in the final year of a four-year degree program in Computer Science or related discipline, completing internship as part of curriculum
requirements.
Preferred Skills & Certifications
• Programming experience in SQL, .Net
• Knowledge of Azure Cloud, ADF and Informatica and PowerBI.
• Familiarity with AI tools for analysis
Knowledge & Skills
• Application design pattern
• SQL (Programming Language)
• Microsoft Azure
• PowerBI Reporting
• AI Tools exposure
• Agile Methodology
• Effective Communication
• Learning Agility & Results Orientation
• Digital Fluency
• Customer Centricity
