Applied Data Science Intern

Job Title: Applied Data Science Intern Company: Siemens Healthineers Job Category: Data Science Roles & Responsibilities: This is an exciting time to join us. Alongside our established facility in Eynsham, we are ramping up production at our newly built facility in Bicester. Based mainly in Bicester, you’ll work with teams across both locations and gain insight into how a large\-scale business manages the transition of operations while maintaining day\-to\-day delivery, and how data\-driven insights can help improve processes and support better decision\-making. In this role you will: * Work alongside engineers to analyse manufacturing and process data, helping to identify trends, investigate problems and improve performance. * Build your understanding of our manufacturing processes and the engineering behind the data, helping you turn real\-world measurements into meaningful insights. * Develop dashboards, reports and data visualisations to help teams better understand their processes and make informed decisions. * Support the digitalisation of manufacturing processes by helping to develop applications, automate tasks and improve existing workflows. * Use data analysis and statistical techniques to investigate engineering challenges and identify opportunities for improvement. * Gain exposure to emerging technologies such as AI, machine learning and predictive analytics, exploring how they could be applied within manufacturing. * Collaborate with different teams to understand their challenges and develop practical, data\-led solutions. * Take part in engineering projects, analyse results and share your findings through presentations, reports and demonstrations. All of our interns also participate in our structured 12 month Intern Development Programme, developing professional skills such as communication, teamwork and commercial awareness alongside the technical experience gained within the role. You must also have eligibility to work in the UK for the duration of the internship (Summer 2027–Summer 2028\), as we are unable to offer sponsorship for internship roles. * 26 days' holiday, with the option to buy or sell an additional 5 days * Up to 10% employer pension contribution * Share and bonus scheme * Access to our flexible benefits from private medical insurance to dental cover * Corporate Social Responsibility opportunities including 2 paid volunteering days per year and support from our 24/7 employee assistance programme When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated. Work Location: Eynsham, England, UK Availability: Full time

Job Requirements Work Experience * You will be currently studying towards a degree in Engineering, Physical Sciences, Data Science, Computer Science, Mathematics or a related discipline, and completing a 12 month industrial placement or sandwich year as part of your degree. * Your studies or experience should give you some understanding of engineering, physical systems or manufacturing processes, alongside an interest in applying data and digital technologies to real\-world problems. * You will have some experience of programming, data analysis or working with datasets, gained through your university studies, projects or personal interests. * You will have strong analytical and problem\-solving skills, with a curiosity to understand how things work. * You will have good communication and interpersonal skills, with the ability to work both independently and collaboratively as part of a team. * You will need to be proactive, with a willingness to learn new technologies, take initiative and develop your technical skills. Benefits Key Skills: Data Science Salary: Not disclosed