Data Science Gen Ai Intern jobs at Dell in Slovakia, Bratislava

You will:

• Support the development of prompt and agentic workflows, machine learning models, and automation experiments by collaborating with experienced team members. Contribute to building insights dashboards and learn about deploying models and workflows to production environments.

• Assist in creating scalable solutions that span multiple geographies, while learning how to balance performance and customer experience in real-world applications.

• Work closely with industry-leading professionals in a collaborative environment, gaining hands-on experience and mentorship to help you grow and explore your own path.

• Explore open-source technologies and contribute to innovative, scalable solutions. Be encouraged to think creatively and flexibly as you apply AI/ML methodologies to real-world problem statements.

• Contribute to improving algorithms and enhancing customer experience, learning how to deliver the right product, message, and timing through data-driven insights and experimentation.

Essential Requirements

• Daily University student in the field of Artificial Intelligence, Statistics, Computer Science, Mathematics or other related areas.

• Knowledge of predictive modeling and / or Agentic AI, LLMs.

• Knowledge of Python and SQL (especially on data wrangling, analysis, and modeling) plus code versioning tools like Git.

• Problem solving, analytic skills, and written and oral English communication skills

• Curiosity and interest in Gen AI, LLMs, NLP

Desirable Requirements

• Familiarity with State Of The Art techniques and models in the AI space

• Familiarity on the theory around standard ML methods is a plus: e.g., linear / logistic / regularized regressions, nearest neighbors, k-means, DB scan, collaborative filtering, random forests, xgboost, light gbm, SVM, neural networks, deep neural networks, deep belief networks.

Starting salary from:7.10 eur / hourly

30th November 2025

What you'll achieve:

This position will merge DevOps, software engineering, data science, and data engineering to deploy LLM based data processing and agentic pipelines that deliver demand signals to Go-to-market teams (Marketing, Sales). You will use your technical knowledge and software development to help build technology-centric solutions that accelerate the development of Artificial Intelligence and Machine Learning capabilities across the company.

You will work with our Machine Learning Engineers to build robust and scalable solutions that will help power our Marketing organization with AI/ML models, AI Agents and data processing solution based on (but not only) latest open source LLMs.

You will:

• Assist in deploying and managing data processing pipelines (including LLM based ones), AI solutions (including agentic) and machine learning models in production environments.

• Collaborate with data scientists, data engineers and machine learning engineers to transition solutions from development to production.

• Help set up and maintain infrastructure for deployment and monitoring of data products pipelines.

• Work closely with cross-functional teams to ensure final solutions meet business requirements.

• Document processes, workflows, and best practices related to LLMOps/DevOps.

Essential Requirements:

• Currently pursuing a master’s degree in computer science, engineering, or a related field.

• Strong programming skills in Python.

• Basic understanding of machine learning concepts and model deployment frameworks.

• Knowledge and experience with containerization technologies (e.g., Docker, Kubernetes).

• Teamplayer and self-starter - able to work within team as well as independently, in a cross-functional team environment within an Agile framework.

Desirable Requirements:

• Knowledge and experience with LLMs, no-code tools (n8n, Flowise, etc.) and workflow automation tools (Apache Airflow) and Experience with CI/CD platforms (GitHub Actions, GitLab CI, Azure DevOps).

• Excellent problem-solving and analytical skills, strong communication skills and ability to work effectively in a team.

7.10 eur / hourly

You will:

• Validate data from various database sources, investigate issues with data, ensure data quality
• Participate in communication with end users and business teams to define data requirements and specifications and identify user issues
• Have responsibility for assigned CEP products as product specialist; understand E2E process, strive for process automation; provide user interfaces for end users, improve the efficiency of our codebase and its maintenance
• Implement new enhancements into production environment, review and implement test strategies for CEP products and related database processes
• Understand key marketing vehicles and terminology

Essential Requirements:

• Daily student at Slovak University focused on Computer Science, Mathematics or Statistics
• Expected graduation in 2026
• 1 year of experience in data analysis, data science, machine learning or statistics
• Excellent practical knowledge of Relational databases and SQL / PostgreSQL
• Experience working with Python in the context of Automation, Data Analysis, Data Exploration, Web Scraping and/or Machine Learning

Desirable Requirements:

• Knowledge of scheduling systems (e.g. Airflow, Control-M) and Git, or other version control systems, is a plus
• Experience with dashboards creation (PowerBI / Tableau reporting), C# or Java, Gen AI and LLM, Kubernetes, Docker, Functions, elastic compute, enterprise-scale platforms, parallelized workloads, real-time data streams, open source frameworks

Starting Salary:7.10 eur brutto /hour

30th September 2025

What you’ll achieve

In this role, you will be involved in creating Marketing Privacy Guidelines by collaborating closely with team members to draft and refine policies that align with legal standards and industry best practices. You will also manage the Guidelines Repository, ensuring it remains well-organized, up-to-date, and easily accessible to stakeholders.

Additionally, you will analyze the privacy needs of various marketing initiatives and projects, assessing requirements to ensure that all activities are compliant and appropriately guided by privacy principles.

You will:

• Research and stay updated on privacy laws and regulations relevant to marketing.
• Assist in drafting, reviewing, and updating privacy guidelines.
• Organize and manage the guidelines repository.
• Analyze and identify gaps in existing privacy guidelines.
• Collaborate with marketing and legal teams to ensure compliance with privacy standards and participate in meetings and discussions related to privacy guidelines and policies.

Essential Requirements

• Daily student of Law studies or other relevant field to data privacy.
• Strong interest in privacy law and marketing practices.
• Excellent research and analytical skills.
• Effective communication skills in English.
• Ability to work independently and as part of a team.

Desirable Requirements

• Familiarity with privacy regulations such as GDPR, CCPA, etc.
• Experience with document management systems.

Starting Salary:6 eur brutto /hour

30th September 2025

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

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As a Data Science Analyst you will develop new approach to generating meaning and value from internal data technologies, often working closely with leading academics and industry experts. Work with engineers to create new tools and features that support sophisticated analytics within the database.You will:

• Interact with other analysts to build deep dive solutions that assist in data-driven decision making

• Produce actionable & compelling recommendations by interpreting, exploring, identifying and communicating insights discovered from complex data sets

• Partner with both internal & external sources to gather and examine data from disparate sources with the goal of discovering previously hidden insights

• Design, develop and program methods, processes and systems to consolidate and analyze unstructured data to generate actionable insights and solutions and code software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources

• Construct predictive models, algorithms and probability engines; verifies model and algorithm effectiveness based on actual results

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:Essential Requirements

• Graduated from University in 2025, preferably in IT related field

• Ability to learn to use professional concept and applies knowledge and basic problem-solving techniques to define and resolve problems and works on problems of limited scope

• Ability to follow standard practices and procedures in analyzing situations or data from which answers can be readily obtained

• Key skills : SQL, PowerBI, Python, Excel

Salary starting from:1775 eur gross monthly

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy .

You will

• Contribute to the design and architecture of high-quality, complex systems and software/storage environments
• Prepare, review and evaluate software/storage specifications for products and systems.
• Contribute to the development and implementation of test strategies.
• Demonstrated ability to prioritize and break down larger software features into smaller stories. Identify and escalate risks/issues, and work with senior engineers to overcome them.
• Achieve proficiency of new tools, languages and OS with training and on-the-job experience. Look to learn & contribute to modern software development processes including test-driven development, continuous integration, continuous testing and deployment

Essential Requirements

• 2+ years Python tech-stack experience.
• Unix and REST development experience. Understanding of relational/non-relational database.
• Exposure to modern software development tools, including GitHub, Genkins and Artifactory.
• Engineering knowledge in computer architecture, distributed systems and networking.
• Excellent coding and debugging skills. Effective communication ability through presentation, interpersonal, verbal and written skills

Desirable Requirements

• Knowledge on storage protocols like Fiber Channel, ISCSI, NVMe.
• Knowledge in additional programming languages such as C/C++, JAVA. Docker/Kubernetes exposure.

Application closing date: