At a Glance
- Tasks: Join the Product Analytics team to analyse data and shape impactful products.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Flexible work options, competitive salary, and fun office perks.
- Other info: Diverse and inclusive culture with excellent growth opportunities.
- Why this job: Kickstart your career while making a real difference in customers' lives.
- Qualifications: Recent graduates in Data Science, Computer Science, or related fields welcome.
The predicted salary is between 52000 - 52000 £ per year.
Company Description Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees.
Max ease.
Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.
More about our mission and what we offer.
Job Description As a Graduate Product Analyst, you’ll join our Analytics team on the 7th of September 2026.
This full‑time role is an opportunity to have a real impact and kickstart your career.
You’ll be onboarded with the Graduate cohort in our London office and learn the basics of being a Wiser, as well as understand how analytics work here.
Responsibilities Be part of the Product Analytics team within Wise Collaborate cross‑functionally to shape and build our product Carry out data analysis using various statistical methods and tools to help us prioritise the most significant changes.
All with the help of other senior analysts that will support you Collaborate with other cross‑functional stakeholders in the team, including Product Managers, engineers, designers and others, working on projects that will be the most impactful for our customers Assist in building and optimising data infrastructure (DBT, dashboards, A/B testing) and analysis to support strategic and data‑driven decisions for your team Qualifications You have graduated in 2025/2026 with a Bachelors or Masters degree potentially in Data Science/Analytics, Computer Science, STEM or Economics/Business/Finance.
Ready to start a full‑time role on the 7th of September 2026, subject to external factors.
You enjoy using numbers and data visualisation to tell a story You used coding to solve problems before and have some experience with using SQL, Python or R.
That could be during your studies or as part of a personal project you’re passionate about!
You’re curious, keen to learn and proactive by nature You’re open to and value feedback in order to improve Don’t worry, we don’t expect you to know everything!
Have the unrestricted right to work in the UK and available to work in our local London office at least three times per week to support your development Benefits You will have flexibility in how and where you work.
We understand everyone needs a little something different - so we’ll do our best to make it happen, but we recommend coming to the office as much as possible in your first weeks!
Weekly office lunch and breakfast, coffee, tea and snacks!
Salary band: £52,000 GBP/year Fun and creative offices with social activities Be part of a global team with a global mindset.
Have a real impact.
Solve real customer problems.
For more details on location‑specific benefits, please check here.
Additional Information For everyone, everywhere.
We're people building money without borders — without judgement or prejudice, too.
We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. #J-18808-Ljbffr
Graduate Analyst - London employer: Wise
Wise is an exceptional employer that prioritises the well-being and professional growth of its employees. With a dynamic work culture that fosters innovation and collaboration, team members are encouraged to develop their skills while contributing to meaningful resilience strategies on a global scale. Located in a vibrant city, Wise offers competitive benefits and unique opportunities for career advancement, making it an ideal place for those seeking a rewarding and impactful career.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Analyst - London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Wise!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Wise.
✨Apply Directly through Our Website
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We think you need these skills to ace Graduate Analyst - London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Wise, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Wise. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Wise
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Wise!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
