Junior AI Analyst Prompter in Aylesbury

Junior AI Analyst Prompter in Aylesbury

Aylesbury Full-Time 22000 - 28000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Support AI solutions delivery and communicate with clients to gather requirements.
  • Company: Rapidly growing business delivering innovative AI-powered solutions.
  • Benefits: Structured training, clear progression opportunities, and a supportive team environment.
  • Other info: Full-time role based in Aylesbury with a salary range of £22,000–£28,000.
  • Why this job: Join a dynamic team and shape the future of AI in logistics and beyond.
  • Qualifications: Strong communication skills and a genuine curiosity about AI are essential.

The predicted salary is between 22000 - 28000 £ per year.

Company Overview: We are a rapidly growing business delivering AI-powered solutions for business, focused in logistics but expanding into other areas. Join our team to help shape the future of operations.

Role Description: We are looking for an enthusiastic and motivated Junior AI Analyst Prompter to join our growing team. This is an entry-level role designed for someone who is curious about AI, eager to learn, and keen to develop real-world skills in a fast-moving environment.

You will work alongside experienced colleagues to support the delivery of AI-powered solutions for our clients. From day one, this is a client-facing role, you will communicate directly with clients via video calls and messaging platforms, so strong communication skills and a professional manner are essential.

You don't need experience in AI, we will invest in your training and development. What matters most is the right attitude: curious, communicative, analytical, dependable with good attention to detail, and genuinely excited about what AI can do in the real world.

Key Responsibilities:
  • Client communication and support
  • Communicate professionally with clients via video calls and messaging platforms
  • Support senior team members in capturing and documenting client requirements
  • Assist with follow-up communications and keeping clients informed of progress
  • Build positive client relationships through clear, responsive, and professional communication
  • AI and prompt development
  • Support the testing and refinement of prompts for AI tools
  • Review and quality-check AI-generated outputs for accuracy and usefulness
  • Help document repeatable AI workflows and processes
  • Assist in rolling out AI solutions within client businesses under supervision
  • Business analysis support
  • Assist in gathering and documenting business requirements
  • Help map business processes with guidance from senior colleagues
  • Support data collection and basic reporting tasks
  • Documentation
  • Create clear, structured documentation covering requirements, process notes, and workflow summaries
  • Maintain accurate records to support team operations and client delivery
Essential Requirements:
  • Excellent communication skills, written and verbal, with the confidence to engage clients professionally (essential)
  • Friendly, professional manner with a client-first attitude
  • Genuine curiosity about AI and emerging technology
  • Good organisational skills and attention to detail
  • Basic digital literacy, comfortable with email, video calls, and online tools
  • Willingness to learn, take feedback, and grow quickly
  • A positive, can-do attitude and team-player mindset
  • Basic knowledge of AI and LLMs
What To Expect:
  • Structured onboarding and hands-on training from day one
  • Direct exposure to live client work, not just theory
  • Work closely with experienced colleagues and the founders
  • A supportive environment that invests in your development
  • Clear progression opportunities as Ripple scales

Location and Ways of Working: This role is full-time and office-based at Ripple's Development Centre in Aylesbury, Buckinghamshire.

Salary: £22,000–£28,000 depending on experience.

Equal Opportunities: Ripple is an equal opportunities employer. We welcome applications from candidates of all backgrounds.

Junior AI Analyst Prompter in Aylesbury employer: Ripple: AI that runs logistics operations

Ripple is an excellent employer for those looking to kickstart their career in AI, offering a supportive and dynamic work environment at our Development Centre in Aylesbury. With structured onboarding, hands-on training, and direct exposure to client work, employees can expect to grow rapidly while being part of a friendly team that values curiosity and communication. Our commitment to investing in your development ensures that you will have clear progression opportunities as we expand our innovative AI solutions.

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Contact Details:

Ripple: AI that runs logistics operations Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior AI Analyst Prompter in Aylesbury

Get Involved in Data Science Meetups

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Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Junior AI Analyst Prompter at Ripple: AI that runs logistics operations.

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ripple: AI that runs logistics operations.

Apply Directly through Our Website

When you find a suitable opening like Junior AI Analyst Prompter at Ripple: AI that runs logistics operations, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Junior AI Analyst Prompter in Aylesbury

Communication Skills
Client Engagement
Attention to Detail
Analytical Skills
Organisational Skills
Digital Literacy
Curiosity about AI

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Ripple: AI that runs logistics operations, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ripple: AI that runs logistics operations. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Ripple: AI that runs logistics operations

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ripple: AI that runs logistics operations!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.