427 Graduate Schemes jobs in the United Kingdom

Geek+ is a global technology company specializing in smart logistics. We apply advanced robotics and artificial intelligence technologies to create solutions for warehouse and factory operations.

With the rise of e-commerce and the demand for faster and more flexible movement of goods, warehouse and manufacturing operators are facing increasingly complex production and logistic challenges today. Speed, product diversification, same-day delivery, volume, safety… these concerns are impacting a wide range of industries, from apparel, retail, automotive, to even electronics, energy and pharmaceutical industries.

Geek+ was founded to be the solution to these problems. We make logistics affordable, efficient, flexible, safe and agile. Our vision is to establish a fully automated and intelligent supply chain globally.

Now Geek+ UK Branch has several vacancies for fresh graduates!

Graduation Period : From 1st August 2025 to 31st August 2026

Language skills : English and Chinese. Other languages would be a plus.

Solution Engineer:

Responsibilities:

• Develop the concept of warehouse layout with mobile robotics technology
• Evaluate and select components and solutions considering technical and economic aspects
• Analyze customer data to find the optimal solution
• Introduce and present solutions to customers in Europe, provide technical clarification/expertise
• Specify and request third-party components
• Prepare tenders and calculate project costs

Required capabilities, and skills:

• Completion of a degree in logistics, industrial engineering or other engineering majors
• Experience in automation logistics, good understanding of logistics processes is a plus
• Proficient in AutoCAD and MS Office, with practical application experience
• Detail-oriented with a high level of accuracy and time management skills
• Outstanding resilience, capable of maintaining composure in fast-paced work environments
• Very good written and verbal communication skills and the ability to present internally/externally

Product Engineer:

Responsibilities:

• Product Standards Alignment & Application: Collaborate with cross-functional teams to help the region understand, apply, and continuously refine product standards through hands-on implementation and feedback loops during hardware and system deployments
• Delivery Process Standardization: Work with the local hardware team to identify process gaps, improve delivery workflows, and develop standardized operating procedures to enhance project efficiency and quality across the EU region
• Pilot Project Support: Provide engineering support throughout pilot projects, ensuring technical requirements and quality standards are met
• Documentation: Assist in documenting best practices and creating technical guidelines to ensure process standardization
• New Product Introduction (NPI) cooperation: Enable NPI activities, including design reviews, process validation, and cross-functional communication, to ensure successful product launches

Required capabilities, and skills:

• Education: Bachelor’s degree (or higher) in Engineering, Mechanical Engineering, Electrical Engineering, or a related field
• Experience: Experience in product engineering, project support, or process development, with a focus on NPI
• Problem-Solving Skills: Strong analytical skills with the ability to propose effective solutions
• Communication Skills: Excellent collaboration and communication abilities, effective across diverse teams
• Detail-Oriented: Strong attention to detail with a passion for process improvement and standardization

• Assist in collecting, cleaning, and processing large datasets.
• Develop and implement statistical models and machine learning algorithms.
• Perform data analysis to identify trends, patterns, and insights.
• Create data visualizations and reports to communicate findings.
• Collaborate with senior data scientists on project tasks.
• Contribute to the development and deployment of data-driven solutions.
• Participate in training sessions and workshops to enhance technical skills.
• Support A/B testing and experimental design.
• Document methodologies and code.
• Present findings to project teams and stakeholders.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Strong understanding of statistical concepts and machine learning algorithms.
• Proficiency in at least one programming language, such as Python or R.
• Familiarity with data analysis and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn).
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork abilities.
• Eagerness to learn and adapt to new technologies.
• Ability to work effectively in a hybrid environment.
• Previous internship or project experience in data analysis is a plus.
• A genuine passion for data and its potential impact.

• Undertake rotations across various data science teams, gaining exposure to different methodologies and industry applications.
• Learn and apply statistical modeling, machine learning algorithms, and data mining techniques to solve complex business problems.
• Assist in collecting, cleaning, and preprocessing large datasets from diverse sources.
• Develop and implement predictive models and data visualizations to uncover insights and support strategic initiatives.
• Collaborate with engineers and analysts to integrate data-driven solutions into existing systems and workflows.
• Participate in workshops, training sessions, and team meetings to enhance technical skills and business acumen.
• Contribute to the documentation of data models, processes, and findings.
• Present project outcomes and insights to relevant stakeholders.
• Engage in continuous learning to stay abreast of the latest advancements in data science and artificial intelligence.
• Adhere to data privacy and security best practices.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering, or a closely related quantitative field.
• Strong foundation in statistical concepts, programming languages (e.g., Python, R), and database querying (e.g., SQL).
• Demonstrated analytical and problem-solving abilities, with a keen attention to detail.
• Excellent communication and interpersonal skills, with the ability to work effectively in a team environment.
• A passion for data and a strong desire to learn and grow within the field of data science.
• Previous internship or project experience in data analysis or a related area is beneficial but not mandatory.
• Must be eligible to work in the UK.

• Assist in the collection, cleaning, and preprocessing of large datasets.
• Develop and implement statistical models and machine learning algorithms.
• Perform data analysis and create insightful visualizations.
• Collaborate with senior data scientists on research and development projects.
• Contribute to the interpretation of results and the communication of findings.
• Support the deployment and monitoring of data models.
• Engage in continuous learning and stay updated with industry trends.
• Participate in team meetings and contribute to project discussions.
• Assist in generating reports and presentations for stakeholders.
• Support data-driven decision-making across various business units.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and machine learning algorithms.
• Proficiency in programming languages such as Python or R.
• Familiarity with data manipulation and visualization libraries (e.g., Pandas, Matplotlib, Seaborn).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal abilities for remote collaboration.
• Eagerness to learn and adapt to new technologies and methodologies.
• Demonstrated interest in data science through academic projects, internships, or personal projects.

• Assist in the collection, cleaning, and manipulation of large datasets.
• Perform exploratory data analysis to identify trends and patterns.
• Develop and maintain reports and dashboards using BI tools.
• Support senior analysts in generating data-driven insights and recommendations.
• Contribute to data quality assurance processes.
• Learn and apply various data analysis techniques and tools.
• Present findings and insights to project teams.

• A recent graduate with a degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or Business Analytics.
• Strong analytical and critical thinking skills.
• Proficiency in Microsoft Excel; knowledge of SQL is highly desirable.
• Familiarity with at least one programming language (e.g., Python, R) for data analysis is a plus.
• Excellent written and verbal communication skills.
• Eagerness to learn and adapt in a fast-paced business environment.
• A proactive attitude and ability to work independently and as part of a team.

• Participate in coding and development tasks under the guidance of senior developers.
• Assist in the design, development, testing, and debugging of software applications.
• Learn and apply various programming languages and development tools.
• Contribute to the creation of technical documentation.
• Collaborate with team members in an Agile development environment.
• Engage in code reviews to improve code quality and learn best practices.
• Participate in team meetings and contribute to project discussions.
• Understand and follow software development lifecycle processes.
• Gain exposure to different areas of software engineering, including front-end, back-end, and database development.
• Develop problem-solving skills and learn to troubleshoot technical issues.

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline.
• Strong understanding of fundamental programming concepts and data structures.
• Familiarity with at least one programming language (e.g., Java, Python, C#, JavaScript).
• Excellent analytical and problem-solving abilities.
• A proactive attitude and a strong desire to learn and grow.
• Good communication and teamwork skills.
• Ability to adapt to new technologies and challenges.
• Must be eligible to work in the UK.

• Participate in a structured 12-month graduate program, including intensive training workshops and mentorship.
• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Develop and generate reports, dashboards, and visualizations to communicate findings.
• Support senior analysts in ad-hoc data requests and analytical projects.
• Learn and apply various statistical methods and data modeling techniques.
• Work with databases and query languages (e.g., SQL) to extract and manipulate data.
• Gain exposure to data visualization tools (e.g., Tableau, Power BI).
• Collaborate with cross-functional teams to understand data needs and deliver insights.
• Contribute to data quality initiatives and documentation efforts.
• Learn about data governance best practices and ensure compliance with data privacy regulations.
• Engage in team meetings and contribute to problem-solving discussions.
• Develop a strong understanding of the business context and how data drives strategic decisions.
• Undertake assigned projects that align with business objectives and personal development goals.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline.
• Strong analytical and critical thinking skills.
• Proficiency in Microsoft Excel is essential.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with programming languages like Python or R is advantageous, but not essential for initial entry.
• Excellent written and verbal communication skills.
• Ability to work collaboratively in a team environment.
• Proactive attitude and eagerness to learn new technologies and methodologies.
• Must be eligible to work in the UK.
• Comfortable working in a hybrid model, splitting time between remote work and in-office collaboration.