129 Graduate Trainees jobs in the United Kingdom

Graduate Management Development Programme – Surbiton, Surrey

£31,000 plus allowances and exceptional benefits

We're looking for exceptional graduates and aspiring future business leaders to join our client, Nikon — a leading international technology solutions company — on their Management Development Programme, starting this September.

You must have a degree, with a 2:1 or above classification (having studied at a Top 40 league table of universities)

Achieved GCSE and A 'level results obtaining grade B and above

Be able to clearly demonstrate your leadership skills

What's On Offer

• Starting base salary of £1,000 p.a., with regular reviews
• Green travel allowance of 40 p.a.
• Home office furniture allowance of 00
• Private medical/dental insurance
• Employee assistance programme
• Pension scheme, life assurance and income protection insurance
• Holidays: 27 days per year, rising to 32 with years of service
• Discount on products

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 collecting, cleaning, and transforming large datasets from various sources.
• Support senior data scientists in developing and implementing machine learning models.
• Conduct exploratory data analysis to identify patterns, trends, and insights.
• Contribute to the design and execution of experiments to test hypotheses.
• Develop reports and visualisations to communicate findings to stakeholders.
• Learn and apply statistical and machine learning techniques.
• Collaborate with cross-functional teams to understand business requirements.
• Participate in code reviews and contribute to documentation.
• Stay updated with the latest developments in data science and machine learning.
• Contribute to the continuous improvement of data processing pipelines.

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics, Economics, or a related quantitative field.
• Foundational understanding of statistical concepts and machine learning algorithms.
• Proficiency in at least one programming language such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow).
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Eagerness to learn and adapt to new technologies.
• A genuine interest in data science and its applications.

• Intensive training in data science methodologies, machine learning, and statistical modeling.
• Hands-on project experience in data analysis, predictive modeling, and data visualization.
• Mentorship from senior data scientists and industry experts.
• Exposure to diverse datasets and business challenges.
• Development of essential technical skills in Python, R, SQL, and data visualization tools.
• Opportunity to contribute to impactful business decisions through data-driven insights.
• Collaborative remote work environment with cross-functional teams.
• Ongoing professional development and networking opportunities.