Data Analytics And Automation Intern Jobs

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Project Title: AI-Enabled Quality Engineering Transformation for Semiconductor Manufacturing Project Description Develop quality engineering expertise in semiconductor manufacturing through analytical problem-solving, statistical analysis, quality systems, process characterization, and risk management. The intern will undertake a structured AI-Enabled transformation project to improve productivity, workflow efficiency, data visibility, and engineering decision-making for contamination control, incoming quality control, and/or chemical laboratory analysis. The project will provide practical exposure to industrial data analytics, Artificial Intelligence, automation, visualization, and cross-functional engineering collaboration. Objective of the Project Analyze a defined quality engineering workflow and identify opportunities to improve productivity, efficiency, and decision-making. Develop an AI-Enabled, automation, or digital solution addressing a real engineering challenge. Evaluate the solution using appropriate technical, quality, usability, and business-impact criteria. Build practical knowledge of quality systems, statistical methods, process characterization, and risk managem

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Micron F10, 1 North Coast Drive. Department Process and Equipment Engineering (Diffusion) Project Title F10 CMOS Matching and RegE Wafer Edge Exclusion Programme Project Description The Process and Equipment Engineering Intern will participate in an engineering project focused on CMOS matching analysis and wafer edge yield enhancement within advanced semiconductor manufacturing processes. Working alongside Process and Equipment Engineers, the intern will gain hands-on exposure to yield learning methodologies, inline process monitoring, defect characterization, and data-driven manufacturing optimization. The project provides opportunities to investigate process variations, evaluate wafer edge performance, and develop analytical solutions that enhance manufacturing quality and yield performance. The project combines semiconductor process engineering fundamentals with advanced data analytics, automation, and AI-enabled engineering tools to accelerate learning, improve engineering efficiency, and drive fact-based decision making. The internship provides exposure to: Semiconductor manufacturing processes and process integration. Yield analysis, defect characterization, and process m

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization. We are looking for someone who can work closely with Data Scientists and Engineers across diverse areas of the organization (Consumer, Ads, and Marketing) to curate, develop, and deploy the right data and analytic tooling to drive Reddit’s product forward and provide a data and tooling foundation that will last decades. Your work will empower thousands of your colleagues to improve the user experience and grow our consumer base. Successful candidates have a strong track record of understanding and deeply caring about the purpose of data to support business goals, and can act as an effective conduit between Data Producers and Data Consumers. This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas. Responsibilities: Be a key contributor and collaborator to the success of data quality, performance, reliability, and automation initiatives. Manage a portfolio of data products that deliver high-quality, trustworthy data Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines. Develop and implement data quality checks, conduct QA and implement monitoring routines Create and manage new data integrations across internal and external systems Create tools and a

ABOUT SINGLESTORE & THE TEAM SingleStore is the Intelligence Platform powering real-time data, analytics, and AI experiences at enterprise scale. Internally, we practice what we preach through our AI & Automation Center of Excellence (CoE): a unit that partners with cross-functional teams to identify high-friction business problems and solve them using AI, automation, and data. As a Senior AI & Automation Manager, you will be overseeing the AI CoE and working directly with executive leadership to tackle the company's highest-impact problems. WHAT YOU'LL DO ● AI agent development: Building and refining AI agents (e.g., Glean or custom agents) to automate knowledge retrieval, extract intelligence, and support decisions. ● Automation workflows: Design and build automation pipelines to eliminate manual and repetitive processes. ● Data analysis & pipelines: Write Python and SQL to extract, transform, and analyse data from internal systems (Salesforce, data warehouse, etc.), including building scoring and prioritization models. ● Stakeholder discovery: Engage with cross-functional teams to understand pain points, document requirements, and translate them into structured problem statements. ● Process improvement: Identify workflow inefficiencies, propose solutions, and drive implementation end-to-end with strong ownership. ● Project management: Independently scope, sequence, and deliver technical projects. ● Enablement/Team management: Guide or mentor junior team members on technical execution, and act as the go-to resource for AI/automation capability across the org QUALIFICATIONS / SKILLS Background 4-6 years of experience in AI, automation, data science or analytics Bachelor's degree in Computer Science Engineering, or a related technical field Preferred background in SaaS, particularly working with cross-functional teams Technical Competencies Proficient in Python (Pandas, NumPy, Scikit-learn), able to

Experience Level: 2–4 Years Location: Noida Department: Human Resources / Talent Acquisition Position Overview We are looking for a data-driven HR Analytics Specialist to join our Talent Acquisition (TA) team. In this role, you will bridge the gap between raw recruitment data and strategic decision-making. You will be responsible for building dynamic dashboards, tracking key recruitment metrics, and translating complex data into compelling stories for senior stakeholders.If you love diving into Excel, automating workflows with modern AI tools, and helping talent teams recruit smarter and faster, we want to hear from you! Key Responsibilities Data & Dashboard Management: Design, build, and maintain automated TA dashboards and trackers to monitor key metrics (e.g., Time-to-Hire, Cost-per-Hire, Source Effectiveness, Pipeline Velocity, and Offer Acceptance Rates). Process Automation: Actively identify manual bottlenecks in recruitment reporting and aggressively push for and implement automated solutions wherever required to drive team efficiency. Stakeholder Reporting: Prepare and deliver clear, high-impact presentations and reports for leadership and hiring managers to guide strategic hiring decisions. Predictive & Trend Analysis: Identify trends, bottlenecks, and opportunities within the recruitment funnel to optimize the candidate journey and recruiter productivity. Data Hygiene: Audit and maintain the integrity of recruitment data across our Applicant Tracking System (ATS) and internal databases. Tech Optimization: Leverage Excel and cutting-edge AI tools to automate repetitive reporting tasks, synthesize data summaries, and improve predictive analytics capability. Required Skills and Qualifications Experience: 2 to 4 years of experience in HR analytics, people analytics, or business intelligence (specifically supporting a Talent Acquisition or Recruitment function is a massive plus). Advanced Excel Skills: Mastery of advanced Excel functions is non-negotiable

NVIDIA is well positioned as the “AI Computing Company”, our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We are looking for a Software QA Test Development Engineer Intern to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage tens of thousands of resources in a simple and controlled fashion, allowing engineers to focus on engineering and automation, rather than being burdened by manual operational tasks. What you'll be doing: Analyze requirements and design test matrices covering functionality, performance, robustness, and edge cases. Develop test plans and cases; build and maintain automated test suites (API / UI / CLI / E2E) in Python; enhance framework architecture and implementation. Leverage AI-powered tools and agentic workflows to accelerate case generation, triage, and root cause analysis. Integrate automation testing in CI/CD pipelines to build reliable fast feedback loops. Manage the full bug lifecycle — filing, reproduction, and driving multi-functional collaboration to resolution. Reproduce and verify customer-reported issues to ensure quality before release. Find opportunities to improve QA efficiency through tooling and automation. What we need to see: Currently pursuing

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary As a member of the Strategic Intelligence and Automation team you will be part of a nimble team that lives in and amongst data. We specialize in automating the movement of data, integrating data analysis to create new business processes, and reporting out the findings of our analysis. As part of the team you will: Build ETL workflows using Dataiku and Python to receive, manipulate and populate data Collaborate with cross-functional teams, including product managers, clinical support, and designers, to gather and document product requirements Support direct team members in testing and troubleshooting and documenting work Aid in retaining our client base by researching and resolving client issues by writing queries and analyzing data Answer internal questions by investigating the data sets Contributes to knowledge management initiatives to ensure that knowledge and best practices are understood and shared across the organization Actively contributes to team meetings, brainstorming sessions, and collaborative projects, including sharing ideas, providing feedback, and contributing to the overall goals and objectives of the team Assists in maintaining our integrated high-performance culture Required Qualifications Intermediate understanding of SQL language 2+ years experience in ETL wo

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Associate Analyst, Analytics & Metrics Overview We are seeking a Data Analyst to transform complex payments, transaction, customer, and operational data into accurate reporting and actionable business insights. The role combines hands-on data management, data quality, SQL and Python analysis, dashboard development, reporting automation, and stakeholder collaboration. The successful candidate will work with business and technology teams to improve performance, identify trends and growth opportunities, and support reliable, data-driven decisions. Role Data Preparation, Quality and Governance • Extract, compile, cleanse, validate, standardize, and organize large datasets from multiple internal and external sources using SQL, Python, Excel, and approved data platforms. • Review data for completeness, accuracy, consistency, duplication, and compatibility; investigate discrepancies and correct issues where possible or escalate them through defined channels. • Research and obtain missing information required to complete datasets, records, or supporting documentation. • Apply defined data extraction, labelling, categorization, mapping, reconciliation, and quality-control procedures. • Perform internal quality reviews and maintain clear evidence of checks, corrections, assumptions, and data lineage. • H

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore – Fab10 (1 North Coast Drive, Singapore 757432) Department Fab10 High Volume Manufacturing Photo – Process and Equipment Engineering Project Title AI Agents for High Volume Manufacturing Photo Productivity and Automation Project Description High Volume Manufacturing Photo engineers perform engineering activities involving data collection, issue investigation, report generation, action tracking, and knowledge retrieval. This project provides the intern with an opportunity to explore how AI-enabled solutions can streamline selected engineering workflows, generate intelligent insights, and improve operational efficiency. The intern will collaborate with Photo engineers to understand engineering challenges, identify suitable automation opportunities, and develop project-based AI and Python solutions. The intern will also prototype AI Agents for selected use cases involving troubleshooting, workflow management, reporting, knowledge retrieval, and decision-making. Through this project, the intern will gain practical exposure to Artificial Intelligence, Large Language Models, Generative AI, Python automation, data analytics, and semiconductor manufacturing engineering. Objective o

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location MSB, Singapore (990 Bendemeer Road) Department MSBH Facilities Project Title AI-Powered Sustainability Command Center Project Description The intern will undertake a structured engineering project focused on developing an AI-Powered Sustainability Command Center for selected energy, water, utility, cost, and carbon datasets. Under the guidance of experienced engineering and digital professionals, the intern will assess existing data sources and reporting processes, develop a structured and reliable data model, and create an interactive dashboard for sustainability performance monitoring. The project will also explore analytics, Artificial Intelligence, Generative AI, and automation methods for anomaly detection, insight generation, opportunity prioritization, and reporting. AI-generated outputs will remain traceable to source data and subject to appropriate engineering validation. Objective of the Project Consolidate agreed sustainability and utility datasets into a structured and reliable data model. Develop an interactive command-center dashboard for operational and management visibility. Apply rule-based analytics or AI-Assisted methods to identify anomalies

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location F10N Department Real-Time Defect Analysis Project Title AI-Enabled Defect Analytics and Yield Investigation Project Description The intern will undertake an engineering project focused on defect analysis and semiconductor yield improvement. Under engineer guidance, the intern will analyze defect and yield data, investigate selected excursions, and develop analytics or AI-Enabled solutions that improve analysis efficiency and accelerate root-cause identification. Objective of the Project Identify defect and yield trends using manufacturing data. Apply statistical analysis to a selected yield investigation. Develop an analytics, automation, or Artificial Intelligence solution. Generate data-driven findings and improvement recommendations. Opportunities for Full Time Employment Interns may be considered for future internship or full-time employment opportunities based on business needs, role availability, academic completion, and demonstrated capabilities. Project Scope Analyze defect, yield, and excursion data to identify trends and correlations. Investigate s

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department Process and Equipment Engineering Project Title Artificial Intelligence Transformation for Process and Equipment Engineering Project Description Artificial Intelligence Transformation for Process and Equipment Engineering aims to enhance engineering productivity, manufacturing excellence, and data-driven decision-making through the application of Artificial Intelligence, automation, and advanced data analytics. The intern will undertake a defined engineering project that explores how AI-Enabled tools and digital workflows can improve the way engineers access technical information, analyze manufacturing data, investigate engineering challenges, develop solutions, and identify improvement opportunities across process and equipment domains. The project provides an opportunity to gain practical experience in semiconductor manufacturing, engineering analytics, AI-Enabled application development, and responsible use of Generative AI. The intern will collaborate with engineers and relevant subject-matter experts while developing and validating a project-based solution. Objective of the Project Identify a suitable process or equipment engineering u

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department Test Engineering Project Title AI-Enabled Predictive Analytics for SSD Test Equipment Health Monitoring Project Description Objective of the Project Develop a data-driven equipment monitoring framework that leverages engineering data and AI-enabled analytics to identify early indicators of equipment degradation, optimize maintenance strategies, and improve SSD test equipment reliability in a high-volume semiconductor manufacturing environment. The intern will gain hands-on exposure to semiconductor manufacturing, equipment engineering, data analytics, automation, and AI-enabled engineering workflows while working on real-world manufacturing challenges. Project Scope Learning Opportunities Understand SSD test manufacturing processes and semiconductor production environments. Learn the architecture and operation of automated SSD test equipment platforms. Gain experience in equipment reliability engineering and predictive maintenance methodologies. Develop skills in data extraction, cleansing, analysis, and visualization using engineering datasets. Ap

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The High Bandwidth Memory (HBM) organization develops industry-leading memory solutions that power artificial intelligence, high-performance computing, graphics, and data center applications. The team brings together experts across architecture, design, verification, physical design, product engineering, and validation to deliver advanced memory products that enable the world's most demanding computing workloads. As an HBM Design Development Technical Leadership (DDTL) Intern, you will support the planning, execution, and coordination of next-generation HBM product development programs. You will work closely with technical leaders and engineering teams to track project execution, manage risks, analyze program data, and improve engineering productivity through automation, analytics, and AI-enabled workflows. This role offers exposure to both the technical and leadership aspects of semiconductor product development. Responsibilities Support HBM product execution by tracking schedules, achievements, dependencies, technical risks, and design readiness throughout the development lifecycle. Collaborate with multi-functional engineering teams to monitor project status, coordinate deliverables, and support successful achievement completion. Develop dashboards, reports, data analytics solutions, and executive summaries to provide transparency into program health and key performance indicators. Create automation tools, workflow improvements, and AI-assisted solutions that improve engineering productivity, de

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Department Overview The Probe Equipment Engineering team is responsible for ensuring the performance, reliability, and continuous improvement of probe manufacturing equipment within Micron's semiconductor operations. The team partners closely with Manufacturing, Process Integration, Facilities, Quality, and Supplier Engineering organizations to support world-class operational excellence, equipment availability, and product quality while enabling advanced technology node development. Position Overview As a Probe Equipment Engineer at Micron Technology in Boise, Idaho, you will coordinate the installation, modification, upgrade, qualification, and advanced maintenance of manufacturing equipment. You will collaborate with cross-functional teams to increase tool availability, optimize equipment performance, and ensure manufacturing outputs meet or exceed quality standards. In this role, you will leverage data analytics, automation, AI, and machine learning technologies to improve equipment reliability, accelerate problem-solving, and drive manufacturing efficiency. Your work will help enable smarter factory operations and support Micron's continued advancement of AI-driven semiconductor manufacturing capabilities. Responsibilities Drive improvements in equipment availability, relia