Applied Data Science Placement 2027

Siemens Healthineers AG; Bicester; On-site; GBP 23,000 - 28,000; Full time

Benefits offered by this job

Salary £25,878 p.a.

26 days holiday (+5)

Employer pension 10%

Share scheme

Private medical & dental

Volunteer days

Employee assistance programme

Job summary

Siemens Healthineers Magnet Technology in Oxfordshire is offering a 12-month Applied Data Science Intern placement. You will work with engineering teams to analyse manufacturing data, develop dashboards and contribute to digitalisation projects.

This role provides practical industry experience and exposure to AI, ML and predictive analytics. You will study toward a degree in Engineering, Physical Sciences, Data Science, Computer Science or Mathematics, with some programming and data analysis

Qualifications

• Currently studying towards a degree in Engineering or related field
• Some programming, data analysis or datasets experience
• Strong analytical and problem-solving skills
• Good communication and teamwork skills
• Proactive, eager to learn new technologies and develop skills

Responsibilities

• Analyse manufacturing and process data with engineers to identify trends and improve performance
• Understand manufacturing processes and the data behind them to extract insights
• Develop dashboards, reports and visualisations to support informed decisions
• Assist with digitalisation of manufacturing processes and automation of tasks
• Apply data analysis and statistical techniques to engineering challenges
• Explore AI, ML and predictive analytics and their applications in manufacturing
• Collaborate with teams to address challenges with practical data-led solutions
• Present findings through reports and demonstrations

Skills

Analytical

Problem-solving

Communication

Interpersonal skills

Education

Engineering

Physical Sciences

Data Science

Computer Science

Mathematics

Tools

Python

SQL

Power BI

Excel

Job description

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.

Applied Data Science Intern

This 12 month internship placement will give you real responsibility within our Engineering teams, contributing to manufacturing and digitalisation projects while developing your technical skills through practical industry experience.

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.

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.

It would also be beneficial, but not essential, to have:

• Experience with tools such as Python, SQL, Power BI, Excel or similar.
• An interest in AI, machine learning, automation or software development.

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.

Benefits

• £25,878 per annum
• 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

Why join Siemens Healthineers

At Siemens Healthineers Magnet Technology in Oxfordshire, we design and manufacture superconducting magnets for MRI systems. Our manufacturing processes generate large volumes of data from real equipment and systems, giving you the opportunity to explore how data analytics, software and emerging technologies can help us understand and improve the way we manufacture.

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.

How we work

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.

Check our Careers Site to find out more about our company culture, our commitments to Sustainability and to Diversity, Inclusion and Belonging, and to read some of our employee stories. You can also read reviews from our interns and apprentices on our HigherIn company profile.

As an equal opportunity employer, we welcome applications from individuals with disabilities. In Great Britain & Ireland we are Committed to becoming a Disability Confident Employer.

Early Careers recruitment process

• During our Selection and Assessment process for Early Careers, we like to give our candidates the best chance to showcase their potential by using a variety of assessment types.
• To support the shortlisting process for our Early Careers roles, and to enable candidates to showcase our potential beyond what is on their CV, we will often make use of online assessments or/and on-demand video assessments.
• Further assessment will take the form of an interview or assessment centre. Assessment centres typically include some combination of activities such as group problem-solving tasks, individual interviews, presentations and in-tray exercises. Interviews are typically competency based.
• In most cases we try to hold these final stage interviews or assessments in person where possible, to enable candidates to meet our team and get to understand a little bit more about what we do and what it might be like to work for us.