We're looking for Data Science Interns! Our team at Converge ICT – National SME Group is looking for interns with experience in Python and data analysis. You'll work on data science projects, help build Converge's SME business, and report directly to: AVP – Head of SME Data (me) Data Analytics Lead Preferred skills: Python (Pandas, NumPy, etc.) Data analysis and visualization Machine Learning/AI is a plus SQL is a plus Work setup: Onsite at our Pasig office. Feel free to share this opportunity with students and fresh grads who are eager to build their data science career.

If you are looking for a valuable opportunity in the healthcare human resources industry, Tenet Health has an internship for you! Tenet Health is comprised of 65 hospitals, approximately 550 outpatient centers and additional sites of care. We are differentiated by our top-notch medical specialists and service lines that are tailored within each community we serve. We are a community built on CARE. Our caregivers and supporting staff extend compassion to those in need, helping to improve the health and well-being of those we serve, and provide comfort and healing. Internship description/opportunities: Building required data pipelines for optimal extraction, transformation and loading of data from various data sources following established ingestion patterns and utilizing frameworks on Google Cloud Platform. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources Assist with data-related technical issues and support their data infrastructure needs. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data system Basic Qualifications: Proficient with at least one scripting language (e.g., Python) Proficient with relational databases and SQL Ability to communicate technical concepts clearly and concisely Independence and passion for innovation and learning new technologies Preferred Qualifications: Pursuing a degree in Computer Science, Software Engineering, Info Systems or equivalent experience, with a passion for data Excellent critical thinking/problem solving skills Interest in learning about healthcare information technology Work Setup: Work onsite in Bonifacio Global City, Taguig Mid shift work schedule (5PM-2AM) This is a paid internship NO TO VOLUNTARY INTERNSHIP (must have a required hours to complete)

DATA ANALYST INTERN What We Offer Internship allowance (PHP 250 - PHP 750). Flexible/Hybrid work setup. Opportunity to be absorbed. Open to voluntary and curriculum-based internships. Position Overview The mission of the Data Analyst Intern is to assist the Business Development team in making timely decisions based on historical and forecasted data through the creation and development of standardized automated reports. The intern will provide support in generating tools, data, databases, formulas, and other resources for the team. Duties and Responsibilities Data Analysis and Reporting Pull data from multiple data sources, clean, and process raw data. Ensure data integrity by making sure that data matches between different tools (either of Payreto or the client), such as backend and compliance tools. Gather statistical insights and patterns about the data (e.g., patterns in client transactions). Visualize data reports through dashboarding tools such as Google Data Studio and Power BI. Prepare and send reports to Payreto or its clients. Detect abnormal or suspicious spikes and trends in data and notify Payreto units or client representatives. Create, develop, and design automated reports based on existing data. Communicate effectively with Payreto clients to identify or scope reporting needs. Develop business acumen, including the creation of forms to gather information. Automate the gathering of data from multiple sources. Perform other tasks as assigned.

Role Overview Dashlabs.ai is seeking a data-driven and detail-oriented Data Intern to convert raw data into actionable business insights. The intern will support business intelligence initiatives by developing and maintaining interactive dashboards and improving data-reporting processes. This role is suited to students interested in data storytelling and applying SQL and Looker/Data Studio skills to real business challenges. Responsibilities Develop, build, and maintain automated dashboards in Looker (Looker Studio/Google Data Studio) for monitoring KPIs and business performance. Create and optimize SQL queries to extract, transform, and load data from multiple databases, including BigQuery and PostgreSQL. Produce clear visualizations of complex data sets for non-technical stakeholders. Help clean and validate data sets to maintain reporting accuracy and integrity. Assist with detailed analyses of business issues as needed. Find ways to automate manual reporting workflows through tools such as Google Sheets or scheduled SQL scripts. Qualifications Currently pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, Information Technology, or another related quantitative field. Fundamental to intermediate SQL knowledge, including joins, subqueries, and aggregations. Academic or project-based hands-on experience with Looker Studio, Tableau, or Power BI. Proficiency in Google Sheets/Excel, including Pivot tables and VLOOKUPs. Strong analytical ability to connect data points and turn numbers into narratives. Able to communicate technical findings in a clear and concise manner. OJT Requirements Must currently be enrolled in a university program requiring On-the-Job Training (OJT) or an internship for graduation. Must be able to submit a School Endorsement Letter and coordinate the signing of a Memorandum of Agreement (MOA) between Dashlabs.ai and the educational institution. Must be willing to complete the number of required hours set by the school curriculum, such as 200–600 hours. Work Setup and Benefits Primarily Remote and remote-first work arrangement. Data/viz rockstars may receive special consideration. Dashboards produced by the intern will support leadership business decisions. Work directly with experienced tech leads and executives. Gain practical exposure to modern data stacks and enterprise-level BI tools. Dashlabs.ai offers career opportunities, workplace empowerment, and a diverse, friendly team with competitive compensation packages. Paid-position offers may be available after the internship. Salary and level will be based on the candidate's experience, qualifications, and applicable skillsets.

WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. Job Description The Data Analytics / Computer Science Intern will join Western Digital's Head Backend Business Unit for a structured 3-6 month internship at the Philippines site (PHO). This role sits within the Engineering organization and is designed to introduce data-savvy students to the world of manufacturing analytics in a precision technology environment. The intern will support analytics and digitalization initiatives within slider processing and HGA assembly operations, helping build tools, reports, and visualizations that support engineering and operations decision-making. High-performing interns will be considered for conversion to the ECT -- under the BEST Program. Key responsibilities include: Supporting development of operational dashboards and engineering reports Assisting in data extraction, cleaning, and exploratory analysis of manufacturing datasets Writing scripts or queries to automate manual reporting tasks (Python, SQL, Power BI) Collaborating with engineers to understand data needs and translate them into analytical outputs Completing a defined analytics internship project with a final presentation Participating in structured learning and check-in sessions throughout the program Qualifications REQUIRED: Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Information Technology, Statistics, Engineering with a strong analytics/programming focus, or a related field. Minimum 3rd-year standing. Proficiency in Python and/or SQL. Demonstrated experience in data analysis or data visualization through academic projects, competitions, personal projects, or similar experience. Available for a 3–6 month internship. The internship is intended for students whose academic program requires or allows an internship for academic credit. PREFERRED: Coursework in machine learning, data mining, or statistical modeling. Portfolio of data-related projects, such as GitHub, Kaggle, or similar platforms. Experience with Power BI, Tableau, or equivalent data visualization tools. Exposure to manufacturing, operations, or engineering data is a plus but not required. SKILLS Hands-on experience with Python and/or SQL programming. Data visualization and dashboard development skills. Analytical curiosity and the ability to ask questions and explore data independently. Good communication skills, with the ability to explain data insights clearly and effectively. Collaborative, proactive, and willing-to-learn mindset. Strong written and verbal English communication skills. TARGET ONBOARDING DATES Candidates should be available to start their internship on one of the following target dates: November 16, 2026 January 11/12, 2027 April 1, 2027 May 24/25,2027

We are looking for a motivated and detail-oriented Data Science Intern to support the team in data processing, task monitoring, reporting, and automation initiatives. The intern will assist in maintaining operational trackers, encoding and analyzing data, and helping improve workflows using data science and automation tools. This role is ideal for students or fresh graduates who are eager to gain hands-on experience in data analytics, reporting, automation, and team operations. Key Responsibilities 1. Data Encoding & Processing Assist in encoding, cleaning, and organizing datasets Apply formulas and functions in Excel and Google Sheets Create charts, dashboards, pivot tables, and summary reports Ensure accuracy and consistency of data formats Support weekly reporting and analysis tasks 2. Reporting & Spreadsheet Management Maintain and update Google Sheets trackers and shared files Assist in preparing operational and performance reports Monitor data completeness and identify inconsistencies Provide guidance and support on proper data formatting 3. Priority Task List Management Regularly update and maintain the team’s priority task list Track deadlines, statuses, and task ownership Coordinate with team members regarding pending and urgent items Ensure timely updates in the shared GSuite/Data Science account 4. Service Desk Monitoring Log and monitor tasks in the Service Desk platform Help maintain accurate task documentation and status updates Assist in generating summaries and reports from Service Desk data 5. Automation & Technical Support Support automation initiatives using Python, SQL, and Google Apps Script Assist in creating simple scripts and workflow improvements Help optimize repetitive reporting and tracking processes Participate in data science and machine learning-related tasks when needed Job Specification Currently pursuing or recently completed a degree in: Data Science, Computer Science, Information Technology, Statistics, Mathematics, Engineering or related fields. Basic to intermediate knowledge of: Python, SQL, Microsoft Excel / Google Sheets, Google Apps Script Familiarity with: Data visualization, Pivot tables and spreadsheet formulas, Basic machine learning concepts, Data cleaning and processing Preferred Skills Strong analytical and problem-solving skills High attention to detail and accuracy Good organizational and time management skills Ability to work independently and collaboratively Willingness to learn automation and data science tools

Please read carefully the section in bold: This is a school-required internship for 4th year students (or those in their last year of college) only who are required to render at least 400 hours and live near Legazpi Village, Makati City. Only those who meet this criteria will be contacted. As an intern, you will focus on learning and adopting the Qlik Sense business intelligence (BI) tool to support our analytics team in daily operations and tasks. You will be guided to become proficient in Qlik Sense and will contribute to the team by assisting with application development, documentation, embedded analytics initiatives, and market analysis. This role also provides exposure to advanced analytics capabilities including AI-driven insights, predictive analytics using Qlik Predict, and emerging Agentic AI concepts within the Qlik ecosystem. This is a hands-on opportunity to gain practical experience in BI, embedded analytics architecture, and AI-enabled analytics practices in a professional environment. Key Responsibilities Learning and Development Gain hands-on experience with Qlik Sense through structured training and mentorship. Understand the fundamentals of data modeling, data visualization, and self-service analytics. Learn core concepts of Embedded Analytics, Predictive Analytics, and AI-driven decision support. Explore AI Analytics features including Qlik Predict and Agentic AI use cases within business workflows. Support for Analytics Team Assist the analytics team in daily operations including data preparation, dashboard enhancement, and performance tuning. Support embedded analytics initiatives by helping integrate Qlik dashboards into internal portals or third-party systems. Collaborate with team members on ongoing projects to provide insights, KPI analysis, and AI-driven recommendations. Technical Documentation Prepare technical specifications for Qlik Sense applications to ensure clarity and consistency. Document data models, transformation logic, and embedded analytics integration flows. Create documentation for predictive models and AI-enabled analytics workflows for internal reference. Application Development Support the creation and deployment of Qlik Sense applications tailored to business requirements. Develop interactive dashboards and reports that deliver actionable insights. Assist in designing and testing embedded analytics solutions for web or portal integration. Support implementation of AI Analytics features such as: Predictive modeling using Qlik Predict Insight generation using Qlik Sense Exploration of automation and AI-driven decision workflows leveraging Agentic AI concepts within the Qlik Cloud ecosystem Qualifications Currently pursuing or recently completed a degree in Data Analytics, Information Technology, Computer Science, Business, or a related field. Strong interest in data analytics and business intelligence tools. Basic knowledge of data visualization concepts is an advantage. Excellent communication and problem-solving skills. Proficient in Microsoft Office (Excel, Word, PowerPoint). What We Offer Comprehensive training on Qlik Sense and its applications. Hands-on experience working with real-world data analytics projects. Mentorship from experienced professionals in the analytics field. Exposure to the BI and analytics industry and tools. A collaborative and innovative work environment.

Key Responsibilities: HR Analytics Dashboard Development Design and develop interactive recruitment dashboards using Looker Studio. Transform recruitment data into clear, user-friendly visual reports. Collaborate with the Recruitment team to identify reporting requirements and key performance indicators (KPIs). Prepare basic documentation or user guides for dashboard navigation and turnover to the recruitment team. Careers Website Development Design and develop the company's careers page to improve the candidate experience. Create responsive and user-friendly web pages that align with the company's branding. Collaborate with the Recruitment team to implement website requirements and features. Conduct testing and recommend improvements before deployment. Qualifications Currently pursuing a bachelor's degree in Information Technology, Computer Science, Information Systems, Computer Engineering, Data Science, or a related field. Experience with Looker Studio or other data visualization platforms is an advantage. Basic knowledge of HTML, CSS, JavaScript, or website development tools. Familiarity with Google Workspace and spreadsheet management. Strong analytical, problem-solving, and organizational skills. Able to manage project-based tasks independently while collaborating with a team.

The Industrial Engineering Intern will assist the Operations team in improving manufacturing processes, supporting production planning activities, monitoring quality standards, and maintaining operational documentation. This internship provides hands-on exposure to manufacturing operations and offers opportunities to learn industry best practices in process improvement, productivity analysis, and quality management systems. Production Planning Support Assist in monitoring daily production schedules and output targets. Help track production performance against planned schedules. Support data gathering and analysis of production efficiency, capacity utilization, and workforce productivity. Assist in preparing production reports and dashboards. Coordinate with production personnel regarding process flow and operational requirements. Quality Control and Standards Assist in implementing and monitoring quality control procedures. Support inspection and documentation of product quality and compliance with established standards. Analyze quality data and identify trends, defects, or process improvement opportunities. Participate in root cause analysis and corrective action activities. Assist in maintaining quality records and audit documentation. Documentation and Process Improvement Prepare and update Standard Operating Procedures (SOPs), work instructions, and process flow charts. Organize and maintain manufacturing records and reports. Assist in documenting workflow processes and operational improvements. Support time and motion studies, process mapping, and productivity improvement initiatives. Participate in continuous improvement projects and Lean Manufacturing activities. Administrative and Other Duties Prepare presentations and reports related to engineering and operational projects. Attend production meetings and assist in taking minutes and documenting action items. Perform other tasks assigned by the supervisor related to manufacturing operations and industrial engineering. Qualifications Currently pursuing a Bachelor's Degree in Industrial Engineering or Food Technology. Must be enrolled in an internship, practicum, or on-the-job training (OJT) program. Basic knowledge of manufacturing processes, production planning, and quality control concepts. Proficient in Microsoft Excel, Word, and PowerPoint. Strong analytical and problem-solving skills. Good communication and interpersonal skills. Detail-oriented with strong documentation and organizational skills. Ability to work effectively in a fast-paced manufacturing environment