Interns will work on one of many computer science-based projects which integrate formulation science, material informatics, cheminformatics, and automation with software engineering, information science, machine learning, large language models (LLM) database building and visualization, statistics, and/or mathematical modeling.
Responsibilities
Engage with the business and scientists to gather requirements, understand use cases, and identify opportunities to improve internal tools, workflows, and business processes
Explore and implement AI, machine learning, analytics, and automation capabilities to improve efficiency, recommend process improvements, and support data-driven decision-making
Develop AI-enabled solutions that use historical data and patterns to recommend templates, workflows, task structures, dependencies, or other ways to manage work more effectively
Integrate and analyze data from multiple internal sources to improve data quality, reporting, dashboards, chatbot capabilities, business insights, and connections across project activities, milestones, and deliverables
Develop and enhance internal tools through workflow automation, responsibility or role mapping, administrative process improvements, and functionality that reduces manual effort
Requirements
Bachelor's degree in Computer Science, Data Science, Information Science, Machine Learning, Statistics, or Automation
Master's degree in Computer Science, Data Science, Information Science, Machine Learning, Statistics, or Automation
Doctoral degree in Computer Science, Data Science, Information Science, Machine Learning, Statistics, or Automation
Bachelor's degree in Chemistry, Materials Science, Chemical Engineering or similar science fields with relevant data or computer science skills
Drive the internal Just Eat Takeaway.com Design System, called PIE, to help teams build digital interfaces faster, more inclusively, and with higher quality.
Locations (3)
London, England, United Kingdom
Berlin, Germany
Bristol, England, United Kingdom
Responsibilities
Be a passionate Design System champion for PIE
Define and deliver an agile roadmap based on customer needs, business strategic map, and strategic opportunities
Work within a cross-functional team including designers and engineers
Collaborate closely with consumer teams across the business
Define and track the goals and success metrics for our Design System, its adoption, and the way it contributes to the accessibility, usability, and quality of our user interfaces
Interns will work on one of many computer science-based projects which integrate formulation science, material informatics, cheminformatics, and automation with software engineering, information science, machine learning, large language models (LLM) database building and visualization, statistics, and/or mathematical modeling.
Responsibilities
Engage with the business and scientists to gather requirements, understand use cases, and identify opportunities to improve internal tools, workflows, and business processes.
Explore and implement AI, machine learning, analytics, and automation capabilities to improve efficiency, recommend process improvements, and support data-driven decision-making.
Develop AI-enabled solutions that use historical data and patterns to recommend templates, workflows, task structures, dependencies, or other ways to manage work more effectively.
Integrate and analyze data from multiple internal sources to improve data quality, reporting, dashboards, chatbot capabilities, business insights, and connections across project activities, milestones, and deliverables.
Develop and enhance internal tools through workflow automation, responsibility or role mapping, administrative process improvements, and functionality that reduces manual effort.
Requirements
Currently pursuing a bachelor’s, master’s, or doctoral degree in Computer Science, Data Science, Information Science, Machine Learning, Statistics, or Automation
Chemistry, Materials Science, Chemical Engineering or similar science fields with relevant data or computer science skills
Handles 1st level customer support for multiple Society departments via numerous email, chat, phone, and incoming mail communications channels, utilizing troubleshooting expertise for technical related questions and access issues across a wide range of ACS products, programs, and services.
Compensation
A reasonable rate of base compensation for this position is $24.00-$25.50 per hour.
Responsibilities
Handles 1st level customer support for multiple Society departments via numerous email, chat, phone, and incoming mail communications channels
Escalates complex or non-routine issues to appropriate level
Provides timely and accurate response to all customer contacts while ensuring end-to-end resolution utilizing multiple authoritative databases and extensive knowledge of various technologies
Assists with special projects supporting departmental, divisional, or enterprise changes, product launches or changes to Governing Documents & Resources
Executes on all short- and long-term tasks and projects additionally specified through the objective setting and performance review processes
Requirements
Nice to have: Salesforce Service cloud
Nice to have: Customer Relationship Management (CRM) systems experience
Nice to have: Contact center handling software experience
Engage with customers, greet, and assist them to create a positive shopping experience, help customers find the right products, provide recommendations and offer solutions for their projects, and assist with store operations.
Responsibilities
Engage with customers, greet, and assist them to create a positive shopping experience
Help customers find the right products, provide recommendations and offer solutions for their projects
Stock and organize merchandise to maintain a clean, well-presented store
Answer phone calls in a polite and timely manner, addressing customer inquiries
Assist with inventory-related tasks, including performing cycle counts, verifying stock levels and maintaining accurate records
Requirements
High school diploma or equivalent preferred
Nice to have: Previous retail or related industry experience
Nice to have: Familiarity with cycle counting or inventory processes
Develop, maintain, and issue structural work packages that detail scope, resources, materials, and schedule requirements to support field execution.
Translate engineering drawings and specifications into practical, field-ready plans that align with project safety, quality, and cost objectives.
Coordinate with engineering, procurement, construction, and scheduling teams to ensure materials, equipment, and labor are available to support planned work.
Identify constraints, risks, or potential delays in work execution and recommend corrective actions to maintain project progress.
Ensure work packages comply with industry codes, project standards, and customer requirements.
Requirements
University degree in structural, civil, or related engineering discipline, or equivalent trade qualification
Must have successfully completed two full years of undergraduate-level Computer Science or Data Science curriculum including associated laboratory courses
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