Junior AI Analyst - data driven decisions (Developer I - Software Engineering) in London

Junior AI Analyst - data driven decisions (Developer I - Software Engineering) in London

London Internship 28000 - 35000 £ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Dive into AI, analyse data, and uncover insights that drive business decisions.
  • Company: Join a global leader in digital transformation with a focus on innovation.
  • Benefits: Gain hands-on experience, continuous learning, and a supportive team environment.
  • Other info: Exciting career growth opportunities in a fast-paced, dynamic environment.
  • Why this job: Shape the future of AI while making a real impact in a collaborative setting.
  • Qualifications: Degree in relevant field and basic understanding of AI and machine learning.

The predicted salary is between 28000 - 35000 £ per year.

Kickstart your career in AI and shape the future of data-driven decisions! We’re looking for a curious, motivated Junior AI Analyst to join our growing team and support innovative AI-driven initiatives. This is a fantastic opportunity to work alongside experienced data scientists and business leaders, gaining hands-on exposure to real-world AI applications while building a strong foundation in analytics, machine learning, and business problem-solving.

What you’ll be doing:

  • Work with structured and unstructured data to uncover insights and trends
  • Support AI and machine learning projects by preparing datasets and validating outputs
  • Monitor model performance and help translate results into actionable insights
  • Assist in identifying opportunities where AI can drive business value
  • Create dashboards, reports, and presentations for stakeholders
  • Research emerging AI tools, trends, and best practices
  • Collaborate with cross-functional teams to enable data-driven decision-making
  • Maintain high standards of data quality, accuracy, and compliance

What you’ll bring:

  • A degree in Computer Science, Data Science, AI, Mathematics, Statistics, or a related field
  • Foundational understanding of AI and machine learning concepts
  • Experience with SQL, Excel, and data visualisation tools (Power BI, Tableau)
  • Basic programming skills (Python or R is a plus)
  • Strong analytical thinking and problem-solving capabilities
  • Clear communication skills with the ability to translate data into insights
  • A proactive mindset and eagerness to learn in a collaborative environment

Nice to have:

  • Internship, coursework, or project experience in AI or data analytics
  • Exposure to tools such as ChatGPT, Azure AI, TensorFlow, or similar platforms
  • Understanding of business analysis concepts

Why join us?

  • Work on cutting-edge AI initiatives with real business impact
  • Learn from experienced professionals in a collaborative environment
  • Access continuous learning and development opportunities
  • Be part of a culture that values innovation, curiosity, and growth

If you’re excited about AI and ready to grow your career in a fast-paced, supportive environment, we’d love to hear from you. Hurry & apply!

Junior AI Analyst - data driven decisions (Developer I - Software Engineering) in London employer: United States Digital Space LLC

Join a leading global digital transformation solutions provider in London, where you can kickstart your career as a Junior AI Analyst. With a strong emphasis on innovation and collaboration, you'll work alongside experienced professionals on cutting-edge AI initiatives that drive real business impact. Enjoy continuous learning opportunities in a supportive environment that values curiosity and growth, making it an excellent place for aspiring data-driven decision-makers.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior AI Analyst - data driven decisions (Developer I - Software Engineering) in London

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 Junior AI Analyst - data driven decisions (Developer I - Software Engineering) in London

Artificial Intelligence
Machine Learning
Data Analysis
SQL
Excel
Data Visualisation (Power BI, Tableau)
Python

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 United States Digital Space LLC 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 United States Digital Space LLC

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 United States Digital Space LLC.

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 United States Digital Space LLC that you’re not just looking for experience, but that you're keen to contribute and grow within the team.