At a Glance
- Tasks: Analyse data, develop AI products, and create low-code solutions for real clients.
- Company: Join a forward-thinking IT consultancy focused on digital transformation.
- Benefits: Competitive salary, mentorship, hands-on experience, and hybrid work model.
- Other info: Dynamic role with excellent growth opportunities and early client exposure.
- Why this job: Be at the forefront of AI and low-code innovation while making a tangible impact.
- Qualifications: Strong analytical skills, interest in AI, and basic coding knowledge required.
The predicted salary is between 36000 - 60000 € 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 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 intellectual curiosity. With access to comprehensive training and mentorship from industry experts, you'll have the opportunity to grow your skills in AI-driven products and low-code solutions while making a tangible impact on client projects. Our hybrid working model allows for flexibility, ensuring you can balance professional development with personal commitments in the vibrant city of London.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data & AI Analyst – Digital Products & Low-Code Solutions
✨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 brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with data, AI, and low-code platforms, and don’t forget to practice explaining complex concepts in simple terms.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your analytical thinking and passion for AI-driven solutions, and let’s get the conversation started!
We think you need these skills to ace Graduate Data & AI Analyst – Digital Products & Low-Code Solutions
Some tips for your application 🫡
Show Your Analytical Skills:Make sure to highlight your analytical thinking and attention to detail in your application. We want to see how you approach data and problem-solving, so share examples that showcase your ability to analyse and draw insights from complex information.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who understand what we do and how they can contribute.
Demonstrate Your Passion for AI and Low-Code Solutions:Let us know why you’re excited about working with AI and low-code solutions. Share any relevant projects or experiences that show your interest and understanding of these areas. We’re looking for someone who’s genuinely curious and eager to learn!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining the StudySmarter team!
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! Prepare questions that show your interest in AI, intelligent agents, and low-code solutions. Ask about the company’s current projects or challenges they face in digital transformation to demonstrate your enthusiasm for the field.
✨Communicate Clearly
You’ll need to explain complex ideas to both technical and non-technical audiences. Practice articulating your thoughts clearly and concisely. Use examples from your past experiences to illustrate your points, and be ready to adapt your explanations based on who you’re speaking to.
✨Demonstrate Problem-Solving Skills
Prepare to showcase your problem-solving abilities. Think of specific instances where you tackled a challenge, whether in academic settings or personal projects. Be ready to discuss your thought process and the steps you took to arrive at a solution, especially if it involved coding or data analysis.
