2027 Launch Graduate Program Procurement Analyst Jobs

At Graviton, every strategy, model and edge begins not with instinct, but with someone asking a better question than everyone else. As a Quantitative Research Intern, you'll spend 10-12 weeks working on research that directly shapes how we understand markets and build trading strategies. You'll collaborate with researchers and technologists to investigate market behaviour, test hypotheses, build predictive models and solve problems where the answers aren't obvious. This isn't an internship where you observe from the sidelines. Outstanding work has the potential to shape production strategies and generate real, measurable returns. Ideal candidates are quantitatively sharp, practically minded problem solvers, programmers, mathematicians and scientists who are excited to solve the hardest problems in our field, across our offices in the US, Singapore, Amsterdam and London. What You'll Work On You'll work on real research problems, not simulated exercises, discovering predictive patterns from billions of market events, designing statistical models, and applying machine learning to open research problems. Your work would include: Discovering predictive patterns from billions of market events Designing statistical models that identify trading opportunities Applying probability, optimization and machine learning to open research problems Building AI-powered research agents that accelerate experimentation Developing infrastructure for rapid, large-scale research Designing experiments and backtests to evaluate hypotheses Translating research into production-ready trading signals Exploring new ML, AI and quant finance techniques to find the next source of alpha What You'll Learn Beyond the technical exposure, you'll learn how experienced researchers approach hard problems: breaking them down, questioning assumptions, and deciding based on evidence rather than intuition. You'll be paired with a mentor, reporting manager and buddy, with regular code reviews and feedback through

At Graviton, every strategy, model and edge begins not with instinct, but with someone asking a better question than everyone else. As a PhD Quantitative Research Intern, you'll spend 10-12 weeks pointing the research skills you've spent years building at markets. You'll collaborate with researchers and technologists to investigate market behaviour, test hypotheses, build predictive models and solve problems where the answers aren't obvious. This isn't an internship where you observe from the sidelines, or re-run someone else's experiment. Outstanding work has the potential to shape production strategies and generate real, measurable returns. Ideal candidates are researchers who want to see their methods meet live markets: mathematicians, physicists, statisticians and computer scientists who are excited to solve the hardest problems in our field, across our offices in the US, Singapore, Amsterdam and London. What You'll Work On You'll work on real research problems, not simulated exercises. Your work would include: Discovering predictive patterns from billions of market events Designing statistical models that identify trading opportunities Applying probability, optimization and machine learning to open research problems Running large-scale simulations and experiments on high-performance research infrastructure Designing experiments and backtests to evaluate hypotheses Building AI-powered research agents that accelerate experimentation Developing infrastructure for rapid, large-scale research Translating research into production-ready trading signals Exploring new ML, AI and quant finance techniques to find the next source of alpha What You'll Learn Beyond the technical exposure, you'll learn what changes when research meets live markets: why a result that would survive peer review can still fail as a trading signal, how costs and capacity constrain an idea that looks clean on paper, and how to tell a model that is right from one that is right for the wrong reason.

At Graviton, we don't believe the best trading strategies come from following established playbooks. They come from asking better questions. Why does a pattern exist? What is driving it? Is it real or just noise? Can it be explained, modelled and turned into an edge? As a Quantitative Researcher, you'll work on those questions every day. You'll investigate market behaviour, develop quantitative models, build and test hypotheses and turn insights into trading strategies, working alongside researchers and technologists in an environment where an idea on a whiteboard can reach live trading quickly. This isn't a role where the answers are in a textbook. The problems are open-ended, the data is enormous, and finding the answers is the job. Ideal candidates are rigorous thinkers who genuinely enjoy mathematics, programming and figuring out things that aren't obvious, based in our Singapore, London, Amsterdam or US offices. What You'll Work On You'll work across quantitative research and systematic trading, taking ideas through the full lifecycle: question, hypothesis, experiment, model, validation, strategy, production. Depending on your team and research interests, your work would include: Discovering predictive patterns and sources of alpha from billions of market events Formulating hypotheses about market behaviour and designing experiments to test them Applying probability, statistics, optimization and machine learning to build predictive models and quantitative signals for systematic trading Designing robust backtests and statistical tests to distinguish genuine signals from noise Working with large and complex datasets to uncover patterns that aren't immediately visible Investigating market microstructure and how markets behave at different timescales Evaluating strategy performance, identifying weaknesses and continuously refining models Developing research infrastructure and AI-powered tools and agents that make experimentation faster and analysis deeper Working c

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. What this job involves: Take the opportunity to start your career early in JLL's Capital Markets group, a team dedicated to equipping clients with the strategic advice needed to enhance their economic interests in real estate. As an intern, you will join a fast-paced, team-oriented environment and be an integral part of the team, working alongside analysts to drive investments and acquisitions. This role offers valuable insight into the commercial real estate industry by providing assistance through research, writing, and analyzing market information. What your day-to-day will look like: Assist with preparing and writing market research by obtaining and analyzing market information, statistics, demographics, and traffic counts. Support the valuation of current and proposed listings using Argus and Excel. Review and summarize leases by preparing lease abstracts. Assist in the due diligence process for transactions. Help design and prepare marketing materials, including teasers and offering memorandums, by creating charts and other graphics. Provide general assistance to the team, including gathering data on rent rolls, demographics, and tenant profiles. Required Qualifications: Currently a college/university junior, graduating in Summer 2028. Permanent US work au

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. We are accepting applications for this position until 10/16/2026 Position Overview: The Multifamily Division within Freddie Mac is searching for curious, motivated, and collaborative individuals to support the division's objectives, projects, and strategic initiatives. Freddie Mac Multifamily is a dynamic organization that provides interns with meaningful opportunities to gain exposure across the business while developing both technical and professional skills. As a Multifamily Business Intern, you will work on real-world projects, interact with professionals across the organization, and develop a deeper understanding of the Multifamily housing finance industry. This internship offers an opportunity to build business acumen, strengthen communication skills, and gain experience working in a mission-driven organization that supports housing affordability nationwide. Our Impact: Freddie Mac Multifamily helps deliver an ample supply of affordable rental housing by purchasing mortgages secured by apartment buildings with five or more units. We provide liquidity to the multifamily housing market by purchasing loans from lenders nationwide and securitizing them to support continued housing finance availability. Our financing supports communities across the country—from large metropolitan areas to smaller markets—and serves a diverse population of renters, including students, working families, seniors, and underserved communities. Your Impact: Engage with team members across the organization to develop a broad understandi

You’ve invested a lot of time and energy in your education. Now you want the chance to make your mark. We offer challenging opportunities for you to learn and grow professionally. In our programs, you’ll be immersed in a culture of continuous improvement, with the goal of changing health care for the better. Our Finance internship experience is an 11-week full-time opportunity that starts on May 24th, 2027, and concludes on August 4th, 2027 (intended dates, subject to change) This is a hybrid position with 3 days (generally Tuesday, Wednesday, and Thursday) in office with the other 2 days each week working remotely from home, office, or another location of your choice. Job Locations (Locations may be updated closer to start date based on availability): Cumberland, RI; Hartford, CT; Northbrook, IL. Interns may qualify for housing assistance in the form of company-provided housing. The hourly rate is $26/hr with 40 hours/ week, no work on July 4th (company holiday), and two days of paid leave. Please disregard the range listed. Work visa sponsorship is not available for this role. This includes participation in Curricular Practical Training (CPT), Optional Practical Training (OPT), and F-1 Visa programs. As a finance intern, you will be assigned to a summer role in a department such as: ∙ Enterprise Finance Planning and Analysis ∙ Health Care Benefits, Pharmacy Services, and Retail Finance ∙ Internal Audit ∙ Financial Systems ∙ Treasury ∙ Medical Economics · Finance Operations About this Business Area: Our CVS Health Finance organization serves as strategic partners supporting our business to reshape health care, making it more accessible, equitable, and affordable. We are looking for motivated students who are passionate about our m

At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. Our internship program at Sigma: Sigma’s Early Career Program is the launchpad for the next generation of engineers and innovators. As an Intern at Sigma, you’ll work on various production features and learn efficient engineering for large scalable systems. Our interns work directly with our engineers, product leaders, and designers across the organization everyday. We’re looking for students who bring curiosity, a spirit for collaboration, and a desire for shaping the future of business insights and data exploration. Internship Program Qualifications: Current student : Applicants must be currently enrolled in a university undergraduate or graduate degree program in the U.S with a graduation date of December 2027 or later Able to intern from June 2027 through August 2027 (flexible) Authorization : You must be legally authorized to work in the US during the Summer 2027 program Visa sponsorship is not available for our internship positions, but we welcome applicants on a student visa (with authorization to work in the U.S.) to apply Location: Applicants must be able to work in-person in our office in San Francisco, CA or New York, NY for the duration of their internship. Relocation assistance will be provided for students who will need to relocate for the summer in the form of a relocation bonus. About the role: As a Technical Writing Intern , you will test and document new product features that help our global user base analyze and gather insights from their data. During your internship, you’ll partner directly with your tech

At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. Our internship program at Sigma: As an Intern at Sigma, you’ll work on documentation for various production features and learn best practices of developing user assistance for enterprise software in a fast-paced release environment. Our interns work directly with our engineers, product leaders, and designers across the organization everyday. We’re looking for students who bring curiosity, a spirit for collaboration, and a desire for shaping the future of agentic workflows for app development, business insights, and data exploration. Internship Program Qualifications: Current student : Applicants must be currently enrolled in a university undergraduate or graduate degree program in the U.S with a graduation date of December 2027 or later Able to intern from June 2027 through August 2027 (flexible) Authorization : You must be legally authorized to work in the US during the Summer 2027 program Visa sponsorship is not available for our internship positions, but we welcome applicants on a student visa (with authorization to work in the U.S.) to apply Location: Applicants must be able to work in-person in our office in San Francisco, CA or New York, NY for the duration of their internship. Relocation assistance will be provided for students who will need to relocate for the summer in the form of a relocation bonus. About the role: As a Technical Writing Intern , you will test and document new product features that help our global user base analyze and gather insights from their data. During your internship, you’ll partner directly

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Thank you for your interest in JLL! We offer structured summer internship programs across various business lines, providing hands-on experience and mentorship. Our summer program typically runs from Early May to End July/ Early August, with recruiting beginning in January/February. Our main business lines entail: - Capital Markets - Leasing Advisory - Project & Development Services - Work Dynamics Please apply here if you're interested to join us for any of the above. We will reach out should you be shortlisted. We regret to inform that only shortlisted candidates will be contacted. Location: On-site –Singapore If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table! At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities

Apply early for priority consideration. Gallup has limited openings for this internship, and the position will be filled quickly. As a data engineering intern at Gallup, you’ll help build and modernize the data tools, infrastructure and pipelines that enable teams to work with data at scale. Alongside experienced technical leaders, you’ll put your Python and SQL skills to work on meaningful projects while learning best practices, experimenting with modern tools and seeing firsthand how strong data engineering supports better decisions. What You’ll Do During your internship, you will: Build foundational data tooling and infrastructure designed to scale as the volume and frequency of data grow Help modernize legacy data pipelines using Python, SQL and Gallup’s evolving data platform Troubleshoot data quality issues in large, imperfect datasets Apply data engineering practices to move, transform and validate data across systems Help build reliable, efficient data workflows Learn from senior technical leaders who will mentor you on engineering practices, tools and approaches Collaborate with engineers and interact directly with stakeholders to understand needs and deliver useful solutions Use AI-enabled development tools to improve the quality and efficiency of your work What You Need Enrollment in an associate, bachelor’s or graduate degree program in computer science, data engineering, information systems, statistics, math or a related field required Classroom or work experience writing SQL required, including joins, aggregations and troubleshooting query performance Classroom or work experience coding in Python for data processing, scripting or automation required Working knowledge of relational database and data modeling concepts, including schema design and dimensional or star-schema modeling, required Comfort using AI tools such as Claude, Claude Code or GitHub Copilot to support high-quality, efficient work required Understanding of ETL/ELT concepts and how data

(P-1598) At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As an Associate Product Designer, you will join a team that works diligently to understand and solve our customers' most challenging problems. You will learn how to be a successful product designer at a high-growth enterprise technology company that operates at the important intersection of data and AI. As part of our 2027 APD cohort, you will have a dedicated manager and mentor as well as connect with product managers, engineers, designers, researchers, account teams, and leaders from across the company. The impact you will have: Work with a cross-functional team to build features for the Databricks platform Manage your project end-to-end, from discovery and ideation through final design prototype for engineering to implement from Work with engineers and designers to ship features on the Databricks platform Conduct research with customers to better understand their needs and improve your design What we look for: You will graduate in Fall 2026 or Spring 2027 with a bachelors or masters degree in HCI or related design practice You have the demonstrated ability to leverage AI tooling in your design process without sacrificing craft. You use good judgement in visual hierarchy, layout, and information architecture to inform your design work. You have some first hand experience with SQL and/or Python You're hands-on and learn by doing — happy to build, test, and iterate your way to an answer You use analytical skills to make data-driven decisions (e.g. analyzing product usage, conducting user experience research) You can make complex topics simple and communicate your design perspective to partne

(P-1594) At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As a Product Design Intern, you will join a team that works diligently to understand and solve our customers' most challenging problems . You will learn how to be a successful product designer at a high-growth enterprise technology company that operates at the important intersection of data and AI. You will have a dedicated mentor and will join our 2026 intern cohort where you'll connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company. This is a 12-week paid summer internship program. The impact you will have: Work with a cross-functional team to build features for the Databricks platform Manage your project end-to-end, from discovery and ideation through final design prototype for engineering to implement from Conduct research with customers to better understand their needs and improve your design What we look for: Pursuing a degree in design, human-computer interaction, or a related field with an expected graduation date of December 2027 or Spring 2028 You have excellent interaction design skills with knowledge of user-centered design methodologies and usability. You have a proven ability to efficiently build interactive prototypes leveraging the latest in AI tooling. You use analytical skills to make data-driven decisions (e.g. analyze product usage) and can conduct basic usability testing and semi-structured interviews. You have exceptional communication and storytelling skills, with the ability to make complex topics simple and clearly communicate nuance to partners (engineers, customers, field, etc.) in both written a

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. ◆生産技術開発職（広島拠点）◆ 量産化に向けた技術的な課題解決、生産性向上、コスト削減や品質管理、生産装置の改造・維持・管理など幅広い業務を担当します。 CopilotやAI支援機能を活用し、業務効率の向上も目指します。 配属職種: ・プロセスエンジニア 化学反応や動作条件の最適化を行い、新しい装置や条件を生産に適用する。各要素技術のエキスパート。 ・製品技術エンジニア 製品プロセスの構築・改善を担当。不良・スペック外発生の原因分析、プロセス改善を行う。 ・装置エンジニア 生産装置の構造・動作理解を深め、装置の改良や生産性向上に寄与。 ・生産工学エンジニア データ解析を通じて生産性を高めるための改善提案や生産計画の立案を担当。 ・品質技術エンジニア 原材料管理、クリーンルーム環境、生産プロセス、検査システム、出荷テストなど品質保証に関する業務。 ◆先端技術開発職（広島拠点）◆ 次世代CMOSトランジスタやキャパシタの新技術開発に携わり、高性能化・低コスト化・低消費電力化・高信頼性化を目指します。 主な業務内容 ・半導体プロセス技術（乾式エッチング、薄膜成膜等）の理解と実践 ・プロセスパラメータとデバイス構造・性能の関係分析 ・デバイス構造・特性の最適化導案・実施 ◆評価解析エンジニア（神奈川拠点/広島拠点） DRAM試作ウェハ／チップを専用テスタで評価し、機能・速度・消費電力・電圧などを測定し、開発チームへのフィードバックを通じて市場ニーズに沿った製品改良に貢献します。 主な業務内容 ・各種性能指標（スピード、電力、動作電圧など）の測定・解析 ・プロセス・設計チームへの評価結果の報告、製品改善提案 ・DRAMの新機能・高性能・低電力化に関する製品評価 応募資格： ・理系学部卒以上（2028年3月までに卒業の方。既卒可） ・分析力、問題解決力 ・英語力不問 ・半導体知識不問 ◆ Manufacturing Engineer (Hiroshima) ◆ Responsible for a wide range of tasks, including solving technical challenges for mass production, improving productivity, reducing costs, managing quality, and modifying, maintaining, and managing production equipment. Aim to leverage Copilot/AI Assisted to imp

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Solutions Engineer Interns work at the intersection of engineering, data and Pinterest’s advertising and revenue ecosystem. They contribute to scoped technical projects that improve tools, workflows, integrations and support experiences for internal teams, advertisers and partners. The role offers exposure to real engineering work, cross-functional collaboration and responsible AI-assisted workflows, including applying judgment and verification to AI-supported work. This is an opportunity for someone who wants to see how technology drives customer and business impact. You’ll partner with engineers, data and analytics specialists, product stakeholders and go-to-market teams; learn how ambiguous operational problems become reliable technical solutions; and gain hands-on experience across coding, debugging, data analysis, automation, documentation

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Join our engineering team for a 16-week paid internship (JAN - APRIL) where you'll work alongside world-class engineers, designers, and product managers to build the future of software creation. You'll contribute to real features that impact millions of developers worldwide, from our AI-powered development environment to the infrastructure that makes lightning-fast collaboration possible. This isn't just about learning—you'll ship meaningful code that helps democratize software creation. Whether you're optimizing our cloud infrastructure, building intuitive developer tools, or enhancing our AI agents, your work will directly empower creators around the globe. You will: Ship real features to millions of developers using Replit's platform Collaborate cross-functionally with engineers, designers, product managers, and AI researchers Build and optimize developer experiences that make coding accessible to everyone Work on cutting-edge AI tools and infrastructure that power the next generation of software creation Learn from the best in an environment where your ideas are heard and often implemented Required skills and experience: Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or related technical field Have at least one semester of schooling remaining after the internship completion Proficient in at least one programming language and comfortable with full stack development Passionate about developer tools, AI, or making technology more accessible Thrive in fast-paced environments where you can move quickly and adapt to changing priorities What we value : Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effectiv