Graduate Systems Support Engineer Jobs

About DataCamp Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you’ll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum—helping millions worldwide upskill in data and AI. About the role This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here’s what your day-to-day will look like: Manage the entire content development lifecycle and deadlines. Source and recruit top-tier subject-matter experts as instructors. Collaborate with instructors to create engaging content. Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production. Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective. Continuously assess course performance using learner feedback and engagement data to drive improvements. Identify and prioritize existing curriculum gaps or new topics in data science and data engineering. Qualifications: A solid technical background in Python and SQL. A technical background in data engineering is a plus. Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences. Graduate degree (Master’s or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning,

About Cubist Cubist Systematic Strategies, an affiliate of Point72, is one of the world’s premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Job Description The Central Research Technology team, which builds strategic solutions for research and live trading of quantitative strategies across multiple frequencies and products, is seeking a highly talented intern to work with the team in January. This is a unique opportunity to help design and build the next generation of research and quant trading systems for Cubist. Desirable Candidates Undergraduate or graduate candidates in computer science or engineering Significant experience in Python and/or C++ Interest in open source research tools for data science and machine learning Basic knowledge of linux, git, conda, and CI processes Knowledge of cloud, databases and distributed or streaming compute is a plus Reasonable quantitative and statistical skills Experience with Finance preferred Clear, concise, and proactive communicator Detail oriented and quick learner in a fast-paced environment Team player with strong pride of ownership Commitment to the highest ethical standards

About DataCamp Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you’ll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum—helping millions worldwide upskill in data and AI. About the role This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here’s what your day-to-day will look like: Manage the entire content development lifecycle and deadlines. Source and recruit top-tier subject-matter experts as instructors. Collaborate with instructors to create engaging content. Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production. Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective. Continuously assess course performance using learner feedback and engagement data to drive improvements. Identify and prioritize existing curriculum gaps or new topics in data science and data engineering. Qualifications: A solid technical background in Python and SQL. A technical background in data engineering is a plus. Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences. Graduate degree (Master’s or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning,

About DataCamp Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you’ll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum—helping millions worldwide upskill in data and AI. About the role This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here’s what your day-to-day will look like: Manage the entire content development lifecycle and deadlines. Source and recruit top-tier subject-matter experts as instructors. Collaborate with instructors to create engaging content. Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production. Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective. Continuously assess course performance using learner feedback and engagement data to drive improvements. Identify and prioritize existing curriculum gaps or new topics in data science and data engineering. Qualifications: A solid technical background in Python and SQL. A technical background in data engineering is a plus. Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences. Graduate degree (Master’s or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning,

About DataCamp Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you’ll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum—helping millions worldwide upskill in data and AI. About the role This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here’s what your day-to-day will look like: Manage the entire content development lifecycle and deadlines. Source and recruit top-tier subject-matter experts as instructors. Collaborate with instructors to create engaging content. Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production. Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective. Continuously assess course performance using learner feedback and engagement data to drive improvements. Identify and prioritize existing curriculum gaps or new topics in data science and data engineering. Qualifications: A solid technical background in Python and SQL. A technical background in data engineering is a plus. Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences. Graduate degree (Master’s or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning,

P-1601 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 Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our 2027 intern cohort where you'll connect with engineers, other interns, and leaders from across the company. We are hiring Software Engineering Interns across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. The impact you will have: Work with a team to build features for the Databricks platform Manage your project end-to-end, including design, code, and feedback Learn about building a platform that scales quickly while maintaining quality and security What we look for: You will graduate between Autumn 2027 and Summer 2028 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have good knowledge of algorithms, data structures, and OOP principles You are excited to solve ambiguous problems with a collaborative team This is a Summer 12-week internship. Co-ops are only available to students enrolled in a co-op program. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70%

As an Applied Science Intern, you will join a cross-functional team of engineers and applied scientists building AI-powered features within the Datadog platform. You will contribute to both existing and new products by improving machine learning models, developing new AI capabilities, and helping bring research into production. Working closely with engineering and product partners, you'll gain hands-on experience deploying AI systems at scale while strengthening your product mindset, collaboration, and communication skills. You'll also have opportunities to contribute to cutting-edge research that directly powers customer-facing features. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Design solutions for AI use cases by researching and benchmarking state-of-the-art models to identify the best approach Build highly scalable product features using generative AI, machine learning algorithms, and statistical techniques Contribute to the development, deployment, monitoring, and maintenance of production AI models, services, and infrastructure Explore, analyze, and derive insights from the large-scale observability data flowing through Datadog systems Participate in technical knowledge sharing by presenting recent academic research and investigating emerging model architectures to improve existing and future products Collaborate with engineering and product teams to productionize AI solutions and deliver customer-facing features Who You Are: You will graduate in 2027 with a degree in Machine Learning, Artificial Intelligence, Statistics, Computer Science, or a related field You have experience building machine learning models through coursework, research, internships, or personal projects You have strong programming skills and are eager to lear

P-1588 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 Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our 2027 intern cohort where you'll connect with engineers, other interns, and leaders from across the company. We are hiring Software Engineering Interns across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. The impact you will have: Work with a team to build features for the Databricks platform Manage your project end-to-end, including design, code, and feedback Learn about building a platform that scales quickly while maintaining quality and security What we look for: You will graduate in fall 2027 or spring 2028 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have good knowledge of algorithms, data structures, and OOP principles You are excited to solve ambiguous problems with a collaborative team This application is ONLY for Winter 2027 (January-April). Please do not apply if you are looking for Summer or Fall. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the

P-1451 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 Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our 2027 intern cohort where you'll connect with engineers, other interns, and leaders from across the company. We are hiring Software Engineering Interns across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. The impact you will have: Work with a team to build features for the Databricks platform Manage your project end-to-end, including design, code, and feedback Learn about building a platform that scales quickly while maintaining quality and security What we look for: You will graduate between fall 2027 and summer 2028 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have good knowledge of algorithms, data structures, and OOP principles You are excited to solve ambiguous problems with a collaborative team About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analy

P-1340 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 Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our 2027 intern cohort where you'll connect with engineers, other interns, and leaders from across the company. We are hiring Software Engineering Interns across multiple offices. Please apply for the single location that you're most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. The impact you will have: Work with a team to build features for the Databricks platform Manage your project end-to-end, including design, code, and feedback Learn about building a platform that scales quickly while maintaining quality and security What we look for: You will graduate between fall 2027 and Summer 2028 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have good knowledge of algorithms, data structures, and OOP principles You are excited to solve ambiguous problems with a collaborative team About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, an

P-968 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 Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our 2027 intern cohort where you'll connect with engineers, other interns, and leaders from across the company. We are hiring Software Engineering Interns across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. The impact you will have: Work with a team to build features for the Databricks platform Manage your project end-to-end, including design, code, and feedback Learn about building a platform that scales quickly while maintaining quality and security What we look for: You will graduate between fall 2027 and summer 2028 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have good knowledge of algorithms, data structures, and OOP principles You are excited to solve ambiguous problems with a collaborative team This is a Summer 12-week internship. Co-ops are only available to students enrolled in a co-op program. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of

P-969 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 Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our 2027 intern cohort where you'll connect with engineers, other interns, and leaders from across the company. We are hiring Software Engineering Interns across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. The impact you will have: Work with a team to build features for the Databricks platform Manage your project end-to-end, including design, code, and feedback Learn about building a platform that scales quickly while maintaining quality and security What we look for: You will graduate between fall 2027 and Summer 2028 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have good knowledge of algorithms, data structures, and OOP principles You are excited to solve ambiguous problems with a collaborative team This is a Summer 12-week internship. Co-ops are only available to students enrolled in a co-op program. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of

P-963 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 Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our summer 2027 intern cohort where you'll connect with engineers, other interns, and leaders from across the company. We are hiring Software Engineering Interns across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. The impact you will have: Work with a team to build features for the Databricks platform Manage your project end-to-end, including design, code, and feedback Learn about building a platform that scales quickly while maintaining quality and security What we look for: You will graduate in fall 2027 or spring 2028 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have good knowledge of algorithms, data structures, and OOP principles You are excited to solve ambiguous problems with a collaborative team You can select one of the following programs through this application: Summer 16-week co-op, or Summer 12-week internship. Co-ops are only available to students enrolled in a co-op program. Pay Range Transparency Databricks is committed to fair and equitable compensatio

As a member of our operations team, you will be accountable for driving revenue by ensuring that Scale AI meets customer commitments in a timely manner while maintaining the highest quality standards. You will manage our supply operation funnel by building and running solutions, tools, and processes by working with a cross-functional team including Customer Operations, Product Operations, Product Managers, and many others. You will be solving problems no one has solved before, and you will need to be relentless in driving stellar results, running pilots, tests, and experiments. You’ll come up with creative solutions to bottlenecks. The blend of operations and ownership of our most important outcomes make this a unique and exciting role at the heart of Scale’s daily operations.The ideal candidate is scrappy, analytical, empathetic, outcome focused, and above all someone who drives and inspires results. You will: Build and drive some of our most critical operational processes Own the day-to-day delivery of customer commitments Create an effective feedback loop between the front line, product, strategy, and customers Collaborate with stakeholders to improve processes for new and existing customers Ideally you'd have: Advanced English skills Industry experience (+2) in an operational role and/or a top-tier consulting firm An undergraduate degree with an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree in Engineering, Economics, or Business An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results Analytical, planning, and process improvement capability Experience with reading SQL, or have demonstrated analytical skills PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. The Role We are seeking a talented and commercially astute Data Scientist to join our dynamic team tackling Fraud, Payments and Finance. In this multi-focus role, you will be responsible for protecting our global e-commerce operations from fraud, optimising our payments performance and driving profitability and automation initiatives within Finance. Working with vast, complex datasets, the work will involve combatting online fraud using our award-winning THG Detect platform and driving payments optimisation by increasing authorisation rates, while also using the latest AI software and Google Cloud Platform (GCP) infrastructure to build complex data solutions and applications. This role requires a blend of strong technical skills, commercial acumen, and effective communication to translate complex data insights into tangible business value. Responsibilities: Optimise Fraud Detection: Continuously improve automated decision-making in our in-house THG Detect platform using machine learning and decision rules. Enhance Payment Performance: Lead data-driven initiatives to boost payment authorisation rates, optimise transaction routing, and reduce costs. Drive Profitability within Finance: Lead automation and profitability initiatives across different areas of Finance. Communicate Performance: Report on all aspects of fraud, payments and finance performance to stakeholders at all levels, including C-level management. Drive System Improvements: Collaborate with Fraud, Payments, F