At a Glance
- Tasks: Develop and test AI solutions to tackle real business challenges.
- Company: Join a forward-thinking company with an award-winning culture.
- Benefits: Competitive pay, flexible work, gym membership, and tuition reimbursement.
- Other info: Opportunity for career progression after internship completion.
- Why this job: Gain hands-on experience in AI and technology while making a real impact.
- Qualifications: Curiosity, problem-solving skills, and a passion for technology are key.
The predicted salary is between 22500 - 27500 £ per year.
Why Ryan?
- Competitive Compensation and Benefits
- Business Connectivity Reimbursement (Phone/Internet)
- Gym Membership or Equipment Reimbursement
- Linked In Learning Subscription
- Flexible Work Environment
- Tuition Reimbursement After One Year of Service
- Accelerated Career Path
- Award-Winning Culture & Community Outreach
Ryan’s EAP Business Solutions team is looking for curious, motivated individuals who are excited by the potential of artificial intelligence and technology to solve real business problems.
As an AI-Enabled Business Solutions Intern, you will work alongside colleagues across Business Solutions, technology teams and the wider business to help identify, develop, test and implement AI-enabled solutions that improve business processes and user experiences.
This is a 6–12-month internship, based in either our Manchester or London office, designed to provide practical, hands‑on experience across AI, automation, data, process improvement and project delivery.
You will work on real business challenges, collaborate with stakeholders across Ryan and, as your skills and confidence develop, take increasing ownership of solutions and project activities.
The internship is designed for both recent graduates and university students undertaking a placement year.
There may be the opportunity to progress into a permanent position at Ryan following successful completion of the internship, subject to individual performance and business requirements.
You do not need to be an AI expert when you join us.
We are looking for individuals who demonstrate curiosity, strong problem‑solving skills, an interest in technology and the ability to learn quickly.
Duties and Responsibilities
- Assist in the development and testing of AI prompts, agents, automations and other technology-enabled business solutions.
- Work with business teams to understand challenges, identify underlying user needs and explore where AI, technology or improved processes could provide solutions.
- Support the delivery and coordination of AI projects, pilots and experiments from initial idea through to implementation.
- Work alongside technical teams to support solution setup, testing, tracking and implementation.
- Analyse data and user feedback to understand the effectiveness and impact of solutions.
- Support project planning and maintain clear documentation, shared resources and reusable solution materials.
- Contribute to internal demonstrations, training, communications and awareness activities to support the adoption of new solutions.
- Participate in stakeholder meetings and communicate ideas and recommendations clearly to both technical and non-technical audiences.
- Apply appropriate judgement when working with AI and data, including consideration of confidentiality, privacy, risk, bias and responsible AI use.
- Contribute to both smaller assignments and larger strategic or cross‑functional projects.
- Take increasing ownership of defined solutions, activities and project deliverables as knowledge and experience develop.
- Build a portfolio of delivered work and measurable outcomes throughout the internship.
- Perform other duties and responsibilities as assigned.
Education and Experience
- Currently undertaking a university degree with the opportunity to complete a placement year, or recently graduated.
- Applications are welcomed from a broad range of disciplines.
Relevant areas may include Artificial Intelligence, Machine Learning, Computer Science, Data Science or Analytics, Information Systems, Software Engineering, Mathematics, Statistics, Engineering, Economics, Business Analytics, Digital Business, Innovation or Technology Management.
- Candidates from other academic disciplines are encouraged to apply where they can demonstrate relevant skills, experience or a strong interest in AI, technology and business problem-solving.
- Demonstrated analytical thinking and problem-solving ability, with the confidence to bring structure to unfamiliar or ambiguous problems.
- Genuine curiosity about AI and emerging technologies and an interest in how they can be applied to improve the way businesses operate.
- Strong written and verbal communication skills, with the ability to explain ideas clearly to different audiences.
- Ability to collaborate effectively with colleagues and stakeholders and contribute positively within a team environment.
- Strong learning agility and willingness to experiment, test ideas, learn from outcomes and continuously improve.
- Good judgement and awareness of the importance of responsible AI, data privacy and confidentiality.
- Strong organisation, ownership, reliability and attention to detail.
- An understanding of user needs and an interest in improving processes and experiences.
- Previous professional experience within AI or technology is not required.
Relevant capability may have been developed through university projects, personal projects, employment, volunteering, coursework or other experiences.
- Experience using AI tools, data, automation, coding or other technology through academic, professional or personal projects would be advantageous.
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AI-Enabled Business Solutions Intern employer: Ryan
Ryan is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the European Integration Specialist role. With a strong emphasis on employee growth and development, you will have the opportunity to take ownership of significant projects while working alongside experienced professionals in a supportive environment. Located in Europe, Ryan offers unique advantages such as exposure to diverse markets and the chance to make a meaningful impact on data integration efforts across the continent.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Enabled Business Solutions Intern
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace AI-Enabled Business Solutions Intern
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Ryan will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Ryan
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Ryan.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Ryan that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
