Data Management Intern: Governance & Analytics in London

Data Management Intern: Governance & Analytics in London

London Internship 22500 - 27500 £ / year (est.) Hybrid
cinfo

At a Glance

  • Tasks: Support data governance and analytics while enhancing data quality and business analysis.
  • Company: Join the European Bank for Reconstruction and Development, a leader in sustainable development.
  • Benefits: Hybrid work environment, valuable experience, and exposure to enterprise data governance.
  • Other info: 12-month internship with opportunities for growth and learning.
  • Why this job: Kickstart your career in data management and contribute to impactful projects in digital transformation.
  • Qualifications: Interest in data management and analytics; no prior experience required.

The predicted salary is between 22500 - 27500 £ per year.

The European Bank for Reconstruction and Development (EBRD) seeks an Intern in Data Management to support governance, data quality, metadata, reference and master data, and business data analysis across the organisation. Working under senior colleagues, you will gain exposure to enterprise data governance and the data foundations required for reporting, digital transformation and responsible AI. This is a 12-month fixed-term internship or graduate entry role, with a hybrid work environment.

Data Management Intern: Governance & Analytics in London employer: cinfo

The European Bank for Reconstruction and Development (EBRD) is an exceptional employer, offering a dynamic work environment that fosters innovation and professional growth. As a Quantitative Risk Analytics Intern, you will gain invaluable hands-on experience in quantitative risk management while collaborating with industry experts in a supportive culture that prioritises employee development and meaningful contributions to impactful projects.

cinfo

Contact Details:

cinfo Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Management Intern: Governance & Analytics 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 Data Management Intern: Governance & Analytics in London

Data Management
Governance
Data Quality
Metadata Management
Reference Data Management
Master Data Management
Business Data Analysis

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 cinfo 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 cinfo

✨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 cinfo.

✨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 cinfo that you’re not just looking for experience, but that you're keen to contribute and grow within the team.