At a Glance
- Tasks: Support data management activities and collaborate with experienced colleagues on impactful projects.
- Company: Join the European Bank for Reconstruction and Development, a leader in international investment.
- Benefits: Gain valuable experience, flexible working, and a chance to shape your career.
- Other info: Enjoy a diverse, inclusive workplace that prioritises employee wellbeing and growth.
- Why this job: Make a real difference while learning about data governance and digital transformation.
- Qualifications: Recent graduates or students with a passion for data and analytics are encouraged to apply.
The predicted salary is between 22500 - 27500 £ per year.
The European Bank for Reconstruction and Development was founded in 1991 when communism was crumbling in Europe and ex-Soviet countries needed support to nurture a new private sector and democracy. Today we invest to help build market economies from central Europe to central Asia and the southern and eastern Mediterranean. We are now the largest single investor in our region. Owned by 69 countries and two intergovernmental institutions, we provide project financing for banks, industries and businesses. We also work with publicly owned companies to support privatisation, restructure state-owned firms and improve municipal services. Wherever we are active, we promote policies that bolster the business climate.
The Intern, Data Management supports the Data Management team in delivering data governance, data quality, metadata, reference and master data, and business data analysis activities across the EBRD. Working under the guidance of experienced Data Management colleagues and alongside business and technology stakeholders, the role provides practical exposure to how enterprise data is governed, managed and used to support operations, reporting, decision-making and digital transformation. This is a 12-month fixed-term internship or graduate entry role below Analyst level. It is intended to provide structured workplace experience for an early-career graduate and to create a potential talent pipeline into future Analyst, Data Management roles. Appointment to any future role would be subject to organisational requirements and the relevant recruitment process.
Accountabilities & Responsibilities
- Assist with maintaining business glossaries, data standards, metadata, reference datasets, issue trackers and other governance artefacts.
- Support data collection, data profiling, reconciliation, gap analysis and data quality investigations under guidance.
- Help document data definitions, business rules, data requirements, process impacts, issues, decisions and testing outcomes.
- Support testing activities, including preparation of test evidence, recording results and tracking issues to resolution.
- Undertake desk research on data management, analytics, information management and artificial intelligence topics and summarise findings clearly.
- Prepare draft reports, presentations, meeting materials and user guidance for review by Data Management colleagues.
- Participate in stakeholder meetings and workshops, capturing information and following up agreed actions as directed.
- Support the administration and continuous improvement of Data Management processes, tools, templates and ways of working.
- Work collaboratively, manage assigned tasks responsibly and escalating questions, risks or issues promptly.
Learning and Development Focus
- Build practical understanding of enterprise data governance, data quality, metadata, reference and master data management.
- Develop foundational business analysis, data analysis, documentation and stakeholder engagement skills.
- Gain exposure to the data foundations required for reporting, digital transformation and responsible use of AI.
- Learn to work effectively within a professional, multicultural and cross-functional environment.
Knowledge, Skills, Experience & Qualifications
- Knowledge
- Foundational understanding of data, information systems, databases, analytics or artificial intelligence gained through education or practical projects.
- Interest in data governance, data quality, metadata, business analysis and the responsible use of data and AI.
- Awareness of data analysis, visualisation, programming or database concepts is desirable.
- Experience
- Prior professional experience is not required. The role is suitable for a recent graduate seeking a first or second professional role.
- Academic, voluntary, placement or personal project experience involving data, technology, analytics, AI, research or structured problem-solving is desirable.
- Experience working collaboratively on group assignments or projects and communicating findings to others is desirable.
- Skills
- Strong analytical curiosity and a structured approach to problem-solving.
- Good attention to detail and willingness to check the accuracy and completeness of work.
- Clear written and verbal communication skills, with the ability to explain technical or data-related topics in accessible language.
- Good organisational skills and ability to manage assigned tasks and deadlines with guidance.
- Collaborative, inclusive and willing to learn from feedback.
- Competent user of Microsoft Excel, Word and PowerPoint.
- Familiarity with SQL, Python, Power BI, Microsoft Fabric or comparable data tools is desirable but not essential.
- Qualifications
- Recently completed, or due to complete before appointment, a bachelor degree or international equivalent in Computer Science, Data Science, Information Management, Information Systems, Artificial Intelligence, Software Engineering or another relevant discipline.
- Candidates from other disciplines will be considered where they can demonstrate a strong interest in data and relevant analytical or technical capability.
- Varied, stimulating and engaging work that gives you an opportunity to interact with a wide range of experts in the financial, political, public and private sectors across the regions we invest in.
- A working culture that embraces inclusion and celebrates diversity. Our workforce reflects a broad range of backgrounds, perspectives, and experiences, bringing fresh ideas, energy, and innovation and enhancing our ability to serve our clients, shareholders, and counterparties effectively.
- A hybrid workplace that offers flexibility to teams and individuals; that is based on trust, flexibility and connectedness.
- An environment that places sustainability, equality and digital transformation at the heart of what we do.
- A workplace that prioritises employee wellbeing and provides a comprehensive suite of competitive benefits.
What is it like to work at the EBRD?
Our agile and innovative approach is what makes life at the EBRD a unique experience! You will be part of a pioneering and diverse international organisation, and use your talents to make a real difference to people's lives and help shape the future of the regions we invest in. At EBRD, our Values - Inclusiveness, Innovation, Trust, and Responsibility - are at the heart of how we work. We bring these to life through our Workplace Behaviours: listening well and speaking up, collaborating smartly, acting decisively with full commitment, and simplifying to amplify our impact. These principles shape our culture and define our success. We seek individuals who not only share these values but are also committed to embedding them in their daily work, fostering a positive and high-performing environment.
The EBRD environment provides you with:
Diversity is one of the Bank's core values which are at the heart of everything it does. As such, the EBRD seeks to ensure that everyone is treated with respect and given equal opportunities and works in an inclusive environment. The EBRD encourages all qualified candidates who are nationals of the EBRD member countries to apply regardless of their racial, ethnic, religious and cultural background, gender, gender identity, sexual orientation, age, socio-economic background or disability.
Intern - Data Management (London, GB) employer: Geneve Int
The European Bank for Reconstruction and Development (EBRD) is an exceptional employer, offering a dynamic work environment in London where innovation and inclusiveness are at the forefront of our mission. Employees benefit from a culture that prioritises professional growth, collaboration, and the opportunity to make a meaningful impact on communities across Europe and beyond. With a commitment to continuous development and a diverse international team, EBRD provides a unique platform for those looking to advance their careers while contributing to significant social and economic change.
StudySmarter Expert Advice🤫
We think this is how you could land Intern - Data Management (London, GB)
✨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 Intern - Data Management (London, GB)
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 Geneve Int 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 Geneve Int
✨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 Geneve Int.
✨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 Geneve Int that you’re not just looking for experience, but that you're keen to contribute and grow within the team.