Dear student! We invite you to take a step towards your future. University of Tartu Institute of Computer Science joins hands with prominent companies to combine cutting-edge education and practical work experience.
Confirmed positions for the spring 2024 application round:
Company description |
Reach-U, www.reach-u.com Data analysis platforms for telecommunications and media companies, optimization and profiling algorithms, data exploration user interfaces, geospatial data |
Introduction |
Reach-U is working with customers around the world on unique data-driven projects, for example analyzing mobile networks, fusing data from mobile, internet, and TV traffic. With our purpose-built technology our customers can perform business analysis much more interactively than with other tools. |
Location | Reach-U is located in Tartu, hybrid work is common (remote individual + office teamwork). |
Language | Mix of Estonian and English |
Expected assignment |
|
Topics for master’s thesis |
|
Expectations for applicant |
(candidate does not need to have all of them, any abovementioned skill may be enough) |
Supervisor |
Elis Kõivumägi, Project manager, PhD student in the University of Tartu, Distributed Systems group Teet Jagomägi, Product owner, MSc in Geographical Information Systems … or someone else, depends on the profile of the candidate |
Why you should join us? |
Reach-U is 30 years old Tartu University spin off. Initially we focused on geographic information systems, then mobile operators, today we serve the largest media company in North America. We have several “mission impossible” projects currently under delivery, you can contribute with testing various new approaches. If they work well, the impact will be huge. We mix back-end and front-end developers, data engineers, UX/UI design to create tools that serve people around the world. We believe in teamwork. You will be full member of our team, but if you have a friend/partner you like to work with, we are happy to define a task where you can work as a mini-team. |
Application process |
1) Please describe your experience in free form (perhaps link to portfolio/github, if you have any). 2) Describe briefly (and even better, convincingly and attractively) your motivation, in which area you want to develop yourself. 3) when looking back at your hobby projects or courses at the university, would you be able to bring out some “wow!”, “heureka!” or “I like that!” moments? If yes, can you please describe? Based on those three points above, we put together the short list of candidates we would like to meet. The goal is to test if we match. Maybe you have also 3 questions to us? |
Example of the task:
Method(s): Multidimensional clustering and interactive visualization
Example dataset: TV viewership data that contains logs from set-top-boxes and website visits.
Working hypothesis: in what household groups did the exposure to TV commercial increase visits to website (=generated lift)?
Data structure:
We can start with reasonably-sized dataset to build a demonstrator. The real dataset includes millions of households and hundreds of millions of view facts.
The formula of generating lift:
2) Optionally, make attractive interactive visualization of the clustering result. Some examples of visualization techniques, but do not take these as a firm guidance.
Company description |
AS SEB Pank, Home Page | SEB
|
Introduction |
SEB is a leading Nordic bank with over 165 years of experience. SEB has a department for Customer Data and Strategic Transformations. In this department we use data to drive product innovation and support other division with data-driven solutions. Our team consists of experts in the field with a strong focus on advanced data analyses. We use data science methods and machine learning to create analytical insights and predictive models. Join our team to help us create the next generation of data-driven financial products. |
|
|
Location | SEB Tartu Innovation Centre in Delta building or Tallinn at SEB main office. |
Language | Knowledge of English is mandatory, knowledge of Estonian is a bonus. |
Expected assignments |
Main tasks during the project:
|
Topics for master’s thesis |
The topic will be agreed upon with the student, considering the interests of both parties. Possible directions:
|
Expectations for applicant |
Expectations for the applicant:
|
Supervisor |
Kristel Kammer, Strategist at SEB Baltics Kristina Lillo, Innovation Lead, leading collaboration between SEB and universities |
Why should you join us? |
Join us to shape the future of banking with data-driven products. Serving 2 million customers in the Baltic, we prioritize sustainability, innovation, and customer-centricity. By joining our team, you'll contribute to pioneering solutions and redefine the banking experience, making a lasting impact in the industry. |
Application process |
The application process involves three steps:
|
Company description |
Codemagic - CI/CD for mobile teams. DevOps. codemagic.io |
Introduction |
Releasing mobile applications is a nightmare and we’re tired of it! |
Location | Codemagic has a remote team working from different parts in EU, Africa, Middle East and Asia. Candidate can choose to work remotely or we have desks available at our co-working space at Mobi Lab - Akadeemia 3, Tartu. |
Language | English |
Expected assignments | Student shall become familiar with Codemagic product and it’s capabilities in order to help Codemagic users to learn. For this particular project we propose that student will try to use language models to improve how new users can learn and adopt Codemagic product. Project success is measured by adoption rate of the idea student will develop as well as product metrics that it should influence. |
Topics for master’s thesis |
For example: ● Language models in DevOps for mobile developers. |
Expectations for applicant | For example: ● Interested in language models ● Interested in mobile application development ● Good understanding of CI/CD ● Can use Codemagic.io product |
Why should you join us? | Codemagic is a small team of 24 talented people. Our customers are some of the best mobile and devops teams in the world like Toyota, Google, SmartID. We want to make our product more accessible to the next generation and I think you can help us! We have tried, but haven’t really focused or invested a lot into trying to use language models in our product. This is your opportunity to experiment and have a real impact. |
Application process |
Why do you want to join Codemagic? Have you tried to use Codemagic product before? |
Company description | Bolt is the European super-app with over 100 million customers in over 45 countries and over 500 cities across Europe and Africa. We seek to make cities for people, not cars, by accelerating the transition from owned cars to shared mobility. We offer better alternatives for every use case, including ride-hailing, shared cars and scooters, and food and grocery delivery. |
Website | https://medium.com/bolt-labs |
Location | Tartu |
Language | English |
Expected assignments | ● Implementation of proof of concept (PoC) ● Reading, presenting, and reproducing previously published research related to the problem. ● Clear and transparent documentation of results |
Topics for master’s thesis |
We have different directions depending on the candidate's background and interest: |
Expectations for applicant |
● Experience with Python and data related data science libraries (Numpy, Pandas) |
Questions for the Applicant |
1. What drew you to the specific topic you are applying for? |
Supervisor | Carlos Bentes, Senior Data Scientist |
Why join us? |
We value people's potential over experience. We believe that talented and hard-working people grow quickly, so we give them opportunities that most other companies would not. The experimentation platform is a cross-functional distributed team of data scientists and software engineers that work on exciting problems with an impact, helping Bolt transform urban transportation and make cities for people, not cars. |
|
Company description | Enefit / Eesti Energia is a company which operates in the Baltic Sea electricity and gas markets and in the international fuel market. We have the most diverse energy portfolio in the Baltic Sea region: we produce energy from oil shale, biomass, tire chips, municipal waste, wind, sun and water. We use oil shale to produce liquid fuels – shale oil and oil shale gasoline as well as electricity and heat. |
Introduction |
We have a dedicated team who promotes and leads the innovations, we name this team E-Lab. The team consists of highly skilled specialists in the field of software engineering, data science and cloud engineering. We test different solutions in cooperation with other units and external partners in the framework of short-term prototyping projects. Data Scientists participate in E-Lab as core team members, providing their expertise and knowledge on machine learning, data analysis and optimization. Data scientists work on diverse themes: renewable electricity production forecast, consumption forecast, electricity price forecast, data analysis for electricity production, for electric vehicles, energy storage… |
Location | There are offices in Tallinn and Tartu. Part of the team is in Tallinn, another part in Tartu. Physical presence is asked on Tuesdays (if no lesson at university), one week in Tallinn, the other in Tartu. Transport is paid by the company. Other days can be whether remote, whether at the office. |
Language | English |
Expected assignment |
|
Topics for master’s thesis | Probabilistic (quantile) forecasting of electricity prices |
Expectations for applicant |
|
Supervisor | Jean-Baptiste Scellier, data science team lead |
Why you should join us? |
|
Application process |
Questions:
For the second round of admission, there will be a work assignment, as well as an interview with the supervisor. |
Company description |
Swedbank is one of the largest banks in our home markets in the Baltics and Sweden with more than 7.3 million private and 600 000 business customers. We offer a wide selection of financial services and work every day to support people, businesses, and society to grow by promoting a healthy and sustainable economy. |
Business domain | Financial services |
Location |
Tallinn & Tartu, hybrid work, with regular physical presence encouraged |
Language | English |
Expected internship assignments |
Our data science team is based within the Anti-Financial Crime (AFC) function of the bank, developing high quality and dependable data science products. In our team you will:
|
Topics for master’s thesis |
|
Expectations for applicant |
|
Supervisor |
Simon Whelan, Head of Data Science and Analytics, AFC Andreas Karlsson, Team Manager in Data Science, AFC |
Why should you join us? | Swedbank is over 200 years old and one of the largest banks in each of our home markets, including Estonia. Our customers trust us to handle their finances, but we also have an obligation to society to prevent bad actors abusing the financial system. Come and join the largest data science team in Swedbank and help us build the products that protect society and bring the promise of AI to the whole bank. |
Application process |
Questions to address in an application either in text or through video
If we take your application further, we will have a series of virtual interviews to learn more about you and to test your data science skills. |
Company description | Pipedrive Software development (CRM & intelligent revenue platform) https://www.pipedrive.com/ |
Introduction |
We are confident that Pipedrive needs no introduction. As the first CRM to employ Kanban for visualizing sales, Pipedrive was established in 2010 by five Estonian engineers and entrepreneurs. By 2020, it had become the fifth Estonian company to achieve unicorn status. |
See our introduction video. | |
Location | Tartu, we expect your presence in the office. We hold the belief that face-to-face communication and physical presence are more effective during your initial months. Later on, it becomes possible to work remotely once you have gained confidence. |
Language | English |
Expected assignment |
|
Topics for master’s thesis | Pipedrive has multiple initiatives that lean on disruptive approaches to solving problems. Depending on your interests, the following areas are hot:
|
Expectations for applicant |
|
Supervisor | Mykhailo Dorokhov, Senior Engineering L&D Lead As your supervisor, Mykhailo will take care that you are growing as an engineer and that your goals at university are aligned with what you do at Pipedrive. You will also get a buddy in the team you'll be working with, who will support you through your journey as a software engineering intern. |
Why you should join us? |
Pipedrive is one of the pioneers that joined the program back in 2017 and has been participating ever since. We recognize the potential of what a master’s student can achieve and really appreciate the value of a good thesis. Many of the program’s alumni are currently our employees, continuing their work at Pipedrive. We have recently launched the first AI-powered solutions in our product, and you'll have a chance to work together with people who do AI on enterprise level, and who knows, maybe even make your thesis in this area! |
Application process |
We have a simple three-step interview process: Step 1. Every applicant must take a brief cognitive aptitude test. If you like logic puzzles - you'll love this one.
|