At a Glance
- Tasks: Support data feed operations and troubleshoot data quality issues for enterprise clients.
- Company: Join Addepar, a leading global data and AI platform for investment professionals.
- Benefits: Gain hands-on experience, mentorship, and participate in fun events with cool swag.
- Other info: Full-time internship in Edinburgh from June to August 2027; apply early as spots fill quickly.
- Why this job: Make meaningful contributions and potentially secure a full-time role after graduation.
- Qualifications: Pursuing a degree in Data Science, Computer Science, Finance, or related fields; SQL proficiency required.
The predicted salary is between 22500 - 27500 £ per year.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets.
The Program
We are currently seeking a Portfolio Data Analyst Intern to join our Portfolio Data Feeds Product team in Edinburgh for Summer 2027. Being a part of the AddeU Internship Program, you will be working on meaningful project(s) that you can feel proud of and present back to the company at the end of the experience. In addition to having a supporting manager and mentor, we have a fantastic onboarding program to get you acclimated and ready for your time with us. Fun events and super cool swag are also included!
As a Portfolio Data Analyst Intern, you will make meaningful contributions to the data feed operations that underpin Addepar's Enterprise and Hyperscaler clients. Interns have historically been valuable contributors, with many converting to full-time employees post-graduation. This role is based full-time in our Edinburgh office and requires in-person attendance for the duration of the internship. Dates are currently set for June - August 2027 but please advise your recruiter if you have any timing constraints. Relocation assistance is not offered.
Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. Applications are reviewed on a rolling basis between November 2026 and March 2027. We encourage you to apply early, as we may close the posting once the program is filled.
What You'll Do
- Work across the Portfolio Data Feeds team to support data feed onboarding, validation, and maintenance for enterprise clients
- Analyse and troubleshoot data quality issues across portfolio data feeds
- Support reconciliation workflows and data validation processes
- Contribute to documentation and process improvement initiatives
- Collaborate with senior analysts and engineers to learn the Addepar data stack
Who You Are
- Currently enrolled in a university or other post-secondary program
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Finance, Mathematics, or a related field (penultimate or final year ideal, though all years are welcome to apply)
- Able to commit to the full 12-week program, June 7th, 2027 - August 27th, 2027
- Proficiency in SQL and experience with at least one scripting language (Python preferred)
- Strong analytical skills with attention to detail and data quality
- Interest in financial data, portfolio management, or fintech
- Excellent communication skills and ability to work collaboratively
Our Values
- Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
- Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
- Champion Our Clients - Exceed client expectations. Our clients' success is our success.
- Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
- Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.
In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Portfolio Data Analyst Intern - Summer 2027 employer: Addepar1
Addepar is an exceptional employer, offering a dynamic work environment in Edinburgh where innovation and collaboration thrive. Employees benefit from a culture that champions learning and inclusivity, alongside opportunities for professional growth through mentorship and technical leadership. With a commitment to driving impactful solutions in the financial sector, Addepar empowers its team members to make significant contributions while enjoying the advantages of working within a global data and AI platform.
StudySmarter Expert Advice🤫
We think this is how you could land Portfolio Data Analyst Intern - Summer 2027
✨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 Portfolio Data Analyst Intern - Summer 2027
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 Addepar1 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 Addepar1
✨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 Addepar1.
✨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 Addepar1 that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
