Customer Experience Intern: Data, Insights & Learning

Boehringer Ingelheim; Bracknell; On-site; GBP 13,000 - 20,000; Full time

Job summary

Boehringer Ingelheim UK is offering an internship within Customer Experience to work across Customer Facing Experience, Data, Insights & Analytics, and Learning & Development. You will help enhance customer engagement, ensure data reliability, support learning programs and communicate insights to stakeholders.

Join a cohort of students with a clear placement plan, milestones and learning goals, gaining hands-on experience in data quality, dashboards, Python development and cross-functional

Qualifications

• Currently studying for a degree with a placement year.
• Minimum of three A levels at ABB or equivalent.
• Right to work in the UK for the full duration of the internship.
• Ability to travel to the usual work location and other sites if required.
• Fluent written and spoken English; willingness to learn new systems.

Responsibilities

• Support customer engagement projects to help external customer-facing colleagues work effectively.
• Maintain data quality, manage data-quality tickets and update data documentation.
• Assist with market research coordination and Python development, including data transformation and UX design.
• Support Learning & Development communications, training curricula and evaluation reporting.
• Analyse information and create clear materials from complex sources; contribute ideas and tools.

Skills

Clear communication

Collaborative work

Time management

Ownership mindset

Adaptability

AI awareness

Professional conduct

Education

Three A levels ABB

Degree with placement year

Tools

Microsoft Office

Job description

Boehringer Ingelheim UK is offering an internship within Customer Experience to work across Customer Facing Experience, Data, Insights & Analytics, and Learning & Development. You will help enhance customer engagement, ensure data reliability, support learning programs and communicate insights to stakeholders.

Join a cohort of students with a clear placement plan, milestones and learning goals, gaining hands-on experience in data quality, dashboards, Python development and cross-functional