Data Science & Machine Learning Intern

We believe it takes great people to create a great product. That’s why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia.
Are you studying Artificial Intelligence, Data Science or Machine Learning and curious about how these cutting-edge technologies are applied in the industry? Join us this summer as a Data Science & Machine Learning Intern! It's a unique practical learning experience where you’ll work alongside our experienced Data Scientists, ML Engineers and Software Engineers to apply your academic knowledge to real-world projects, contributing to meaningful solutions while sharpening your technical and professional skills.
Pipedrive launches a new AI/ML Internship, which will take place from 19.05.2025 to 25.07.2025 in our Tallinn office.

Your new adventure:

• Participate in a 10-week intensive learning experience
• Get hands-on experience with real-world AI and machine learning applications
• Develop your professional network by working alongside industry experts
• Gain mentorship and support in a dynamic, innovation-driven environment
• Enjoy a vibrant workplace with perks, snacks, and office dogs
• Take part in tons of fun experiences!

Does this sound like you?

• Understanding of supervised and unsupervised learning techniques, neural networks, or deep learning frameworks
• Familiar with Python ML package (NumPy, Pandas, scikit-learn) for data manipulation and machine learning tasks
• Basic knowledge of databases (SQL)
• Mathematical Foundations: understanding of linear algebra, statistics, and probability as applied to data analysis and machine learning
• A big plus is if you're currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field

Why Pipedrive:

• A value-driven work environment where people come first
• A lively bunch of colleagues from over 50 different countries, with offices in Tartu, Tallinn, Lisbon, Prague, London, Dublin, New York, Florida, Riga and Berlin
• A team serious about getting things done while not taking ourselves too seriously
• A world-class working environment full of perks like parties, craft workshops, snacks and, of course, office dogs
• Lots of room for personal and career development, with internal and external training opportunities

How to apply? 
Ready to turn your academic knowledge into real-world impact? Apply now by submitting your CV.
We look forward to receiving your application and exploring how your skills and passion for AI can help shape our future innovations!
Application deadline: March 31st, 2025
Please note that at this time, we are unable to offer visa or relocation for this role, therefore we only accept applications from people already in Tallinn.
Based on this role's access to certain data, Pipedrive might conduct a pre-employment background investigation in conjunction with your application for employment with our company.  Such data will be handled in accordance with Pipedrive's Privacy Policy for Recruitment.
Pipedrive is an equal opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disability, sexual orientation, gender identity or veteran status.
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We’re on the lookout for a Data Science & Machine Learning Intern to take part in our unique learning-focused internship and start a career in the tech industry.
If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.