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Data Science Intern

Wise

Data Science Intern

Wise

Tallinn

·

On-site

·

Full-time

·

1w ago

Role/Programme: As a Data Science Intern, you’ll join our Data Science team in the summer. This is an exciting opportunity to kick start your career and make a meaningful impact. You will be joining us for 9 weeks (29 June - 28 August 2026). How you’ll make an impact - In this role, you will: - You’ll work on a real data science project that matters to us, using up-to-date machine learning techniques. We can’t say what project yet, but your internship will be centred around this. - You will work directly on projects that impact our customers and will help us prioritise the most significant improvements to our products with their convenience and trust in mind. - Participate in building industry-proven machine learning based solutions and find opportunities to experiment with state-of-the-art algorithms. Growth and development: At Wise, we believe in continuous learning and development. You will have access to: - Mentorship/ buddy programme: We’ve a Buddy Programme for you to give you as much possible connection with people who know what you’re going through. - Intern Insight sessions: These will be short intro presentations from various representatives of different business areas of Wise to make sure you have a chance to get to know as many teams and functions at Wise as possible - Be part of a global intern cohort: Join a diverse group of interns across different teams and locations, connect through shared experiences, and build lasting relationships while learning and growing together at Wise! ## Qualifications What does it take? These things are a must: - You are graduating in 2026 or in 2027 from Bachelors or Masters degree. This might be in Computer Science, Mathematics, or any other STEM subject - Able to start a 9 week internship on the 29 of June, 2026 - Exposure to computer science and machine learning fundamentals, Python and SQL - Curious, keen to learn and proactive by nature - You are open to and value feedback in order to improve - Eligible to work in Tallinn without visa sponsorship And any of these would be great, but aren’t essential: - A self-started side project(s) that you are proud to talk about - Experience in applying machine learning methods to solve a problem - Familiarity with Bayesian methods in machine learning - Familiarity with supervised ML - Familiarity with Apache Spark or other distributed processing frameworks - Experience in software development ## Additional Information What you get back: - 🐶 Pet friendly offices - 💸 Salary of €2530 / month (pro-rated for the lengths of the internship) - 🏃‍♀️Lots of team activities - 💫 Read more about our benefits here! 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. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.

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About Wise

Wise

Wise

Public

WISE inspires girls and women to study and build careers in science, technology, engineering and manufacturing.

1-50

Employees

Bradford

Headquarters

$8.0B

Valuation

Reviews

2.8

9 reviews

Work Life Balance

2.1

Compensation

3.2

Culture

2.3

Career

2.8

Management

1.9

25%

Recommend to a Friend

Pros

Great coworkers and positive relationships

Good benefits and time off

Training and promotion opportunities

Cons

Poor management and lack of support

Toxic workplace environment and micromanaging

Poor work-life balance and long hours

Salary Ranges

113 data points

Mid/L4

Senior/L5

Mid/L4 · Product Application Analyst

1 reports

$87,400

total / year

Base

$76,000

Stock

-

Bonus

-

$87,400

$87,400

Interview Experience

4 interviews

Difficulty

2.3

/ 5

Duration

14-28 weeks

Offer Rate

50%

Experience

Positive 25%

Neutral 25%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Interview Round

4

Technical/Role-specific Interview

5

Final Interview

6

Offer Decision

Common Questions

Technical Knowledge

Past Experience

Behavioral/STAR

Role-specific Skills

Problem Solving