**About the Internship**

Join Uber's Team in Krakow and be a part of our journey to establish a cutting-edge Technology Hub.

As a Data Science Intern, you'll participate in designing new data-driven solutions. You will work on projects of varying sizes and time-horizons with the support of other Data Scientists, utilizing statistical modeling, causal inference methods and machine learning techniques.

This internship offers an excellent opportunity to enhance your analytical skills, sharpen your coding abilities, and work on impactful projects of varying areas such as: marketplace, compliance, fraud or expansion. Furthermore, it may serve as a stepping stone to exciting future opportunities within Uber.

**About the Team**

Located in Krakow, our team centralizes work for Uber Rides & Uber Eats, covering mega-regions like the United States & Canada, as well as Europe, Middle East, and Africa. Our mission statement is: backing creativity with operational efficiency.

We help Uber scale and gain efficiency by performing work around 3 main pillars:

- Data Science (modeling, causal inference, experimentation, machine learning)
- Analytics & Automation (query, deepdive, self-operating dash., process automation)
- Business Processes (design, execution, enhancement, optimization)

**What You’ll Do**

- Support Data Scientists, Data Analysts and Automation Specialists in building, evaluating and implementing scalable data-driven solutions
- Formulate business questions into testable hypotheses and experimental designs
- Develop and improve models using various advanced analytical methods
- Communicate findings to Stakeholders, adapting your communication to a variety of audiences

**Basic Qualifications:**

- Written and spoken fluency in English
- Currently enrolled in final year of master's degree program in Computer Science, Data Science, Informatics, or related field
- Availability to follow the internship full-time, for 3 months, **starting 2 February 2026**
- Working rights in Poland (No sponsorship available)

**Preferred Qualifications:**

- Good knowledge in Python and SQL
- Familiarity withcausal inference, experimentation, statistical modeling, common ML methods, frameworks, tools & libraries (Scipy, Scikit-learn, Xgboost, Statsmodels, Pandas, etc.)
- Familiarity with data visualization, GSheets, Looker Studio, would be a plus

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

\*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [accommodations@uber.com](mailto:accommodations@uber.com).

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

\*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [accommodations@uber.com](mailto:accommodations@uber.com).