At a Glance
- Tasks: Analyse data, support AI products, and create low-code solutions for real clients.
- Company: Join a forward-thinking IT consultancy focused on digital transformation.
- Benefits: Competitive salary, training, mentorship, and hybrid work model.
- Other info: Gain hands-on experience with cutting-edge tools in a supportive environment.
- Why this job: Dive into AI and data-driven projects while making a tangible impact.
- Qualifications: Strong analytical skills and a passion for technology and automation.
The predicted salary is between 30000 - 50000 € per year.
You will work across AI‑enabled products, intelligent agents, data analysis, and low‑code solutions, supporting both internal product development and client delivery. This is a varied, hands‑on role for an intellectually curious analyst who enjoys working with data, understanding how systems behave, and helping turn complex or manual processes into scalable digital solutions for real clients.
Responsibilities
- Work closely with Product Managers, AI specialists, and Senior Consultants to understand client needs and shape intelligent digital solutions.
- Support the development and improvement of AI‑driven products and agent‑based workflows, helping analyse inputs, outputs, and behaviour.
- Analyse, structure, and validate data used across products and client solutions to ensure accuracy, insight, and reliability.
- Produce reports, insights, and updates that help teams and clients understand performance, outcomes, and opportunities for improvement.
- Support delivery of low‑code solutions (e.g. Microsoft Power Platform), including configuration, testing, and validation.
- Assist with data remediation, cleansing, migration, and reconciliation activities.
- Help configure and test cloud‑based software solutions across different environments.
- Support clients with troubleshooting, triage, and user guidance where required.
- Identify opportunities to remove, automate, or digitise manual processes using data‑driven and low‑code approaches.
- Create clear documentation, process maps, and artefacts to support delivery and ongoing use.
What We Offer
- Training and mentorship from Senior Analysts, AI specialists, and Product Leads.
- Exposure to AI products, intelligent agents, and data‑driven digital delivery.
- Hands‑on experience with low‑code platforms and modern cloud tooling.
- Early client exposure in a supportive consultancy environment.
Skills / Experience You Must Have
- Strong analytical thinking and attention to detail.
- Ability to work confidently with data: analysing, restructuring, validating, and drawing insight.
- Strong communication skills, able to explain ideas and insights clearly to technical and non‑technical audiences.
- Comfortable learning new tools, systems, and concepts quickly.
- Interest in AI, intelligent agents, automation, and data‑driven decision‑making.
- Interest in how digital products and low‑code solutions are designed, delivered, and adopted.
- Evidence of exceptional problem-solving ability (e.g. competitive maths, coding challenges, research projects, side projects, published work, hackathons, etc.).
- Demonstrable ability to learn new technical domains independently and quickly.
- Clear examples of self-directed projects beyond university coursework.
- Comfort with basic coding concepts (variables, loops, APIs, JSON).
- Exposure to Git/version control or collaborative tooling.
- Familiarity with cloud concepts (environments, deployments, permissions).
- Strong logical reasoning and comfort thinking in systems (inputs, outputs, constraints, edge cases).
Nice to Have
- Exposure to data analysis beyond Excel (e.g. SQL, Python, Power BI, or similar).
- Familiarity with low‑code or no‑code platforms (e.g. Power Platform or similar).
- Understanding of software delivery, automation, or digital transformation concepts.
- Any experience (academic or practical) with AI, agents, or analytics.
Qualifications
- Minimum 2:1 degree or Masters in a relevant discipline (Data Science, AI/ML, Computer Science, Engineering, Mathematics, Business & Technology, Economics, or similar).
Employment Type: Full‑time Hybrid (Tuesdays and Fridays working from London office)
Graduate Data & AI Analyst – Digital Products & Low-Code Solutions in London employer: Pi Digital Solutions
As a Graduate Data & AI Analyst at our innovative firm, you'll thrive in a dynamic work culture that champions collaboration and continuous learning. With access to mentorship from industry experts and hands-on experience with cutting-edge AI products and low-code solutions, you will have ample opportunities for professional growth while contributing to meaningful projects that transform client operations. Our hybrid working model allows for flexibility, ensuring a balanced approach to work and life, all within the vibrant setting of London.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data & AI Analyst – Digital Products & Low-Code Solutions in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with alumni from your university. You never know who might have a lead on that perfect Graduate Data & AI Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data analysis or low-code solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis and AI. Be ready to discuss your problem-solving experiences and how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. Plus, it shows you're proactive and keen on being part of our journey.
We think you need these skills to ace Graduate Data & AI Analyst – Digital Products & Low-Code Solutions in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Graduate Data & AI Analyst. Highlight your analytical skills, any experience with data, and your interest in AI and low-code solutions. We want to see how you fit into our world!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and AI, and how your experiences align with what we do at StudySmarter. Keep it engaging and personal – we love a good story!
Showcase Your Projects:If you've worked on any relevant projects, whether academic or personal, make sure to include them. We’re keen to see your problem-solving skills in action, especially if they involve coding or data analysis. Don’t be shy about sharing your achievements!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Pi Digital Solutions
✨Know Your Data
Make sure you brush up on your data analysis skills before the interview. Be prepared to discuss how you've worked with data in the past, whether it's through projects or coursework. Highlight any experience with tools like SQL or Python, as well as your understanding of data validation and structuring.
✨Show Your Curiosity
This role is all about being intellectually curious, so don’t hold back! Share examples of how you've explored new technologies or tackled complex problems. Whether it’s a side project or a hackathon, let them see your passion for learning and innovation.
✨Communicate Clearly
You’ll need to explain technical concepts to both technical and non-technical audiences. Practice articulating your thoughts clearly and concisely. Use examples from your experience to demonstrate how you can bridge the gap between complex ideas and practical solutions.
✨Prepare for Problem-Solving Questions
Expect to face some problem-solving scenarios during the interview. Brush up on your logical reasoning skills and be ready to think on your feet. They might ask you to analyse a situation or come up with a solution on the spot, so practice thinking through your thought process out loud.
