Data specialist responsible for data analysis and machine learning solutions at Azul. Collaborating with teams and implementing models within Snowflake platform.
About the role
- Data Science Student in Intel's AI Solutions Group working on meaningful AI challenges using AI methods and diverse datasets. Collaborating with over 70 Data Scientists in a professional development-focused environment.
Responsibilities
- Solve challenging high-value problems using diverse datasets
- Analyse text, time-series, tabular data and images
- Utilize cutting-edge methods from various AI domains,
- Involved in all the AI aspects of the project: from ideation through research and deployment
Requirements
- MSc/PhD student focusing on AI, including a thesis in this field.
- Relevant disciplines of studies: computer science, engineering, or statistics.
- Strong ML/DL knowledge + experience in solving data science problems using these methods.
- Highly motivated to solve real-world problems and create a high impact in practice.
- Substantial experience in programming in Python.
- Acquaintance with AI-related tools, such as PyTorch, Scikit-learn, or LangGraph.
- Team player with great communication skills, who can also work independently and methodically.
- Capacity to work at least 20 hours a week, and studies expected to continue for at least 1.5 years.
Benefits
- Professional development
- Internal seminars and courses
- Participation in leading professional conferences
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead Data Scientist leveraging datasets to build analytics tools for audit practitioners in an inclusive startup environment. Collaborate with teams to improve operational efficiencies and data insights.
Working Student at Fraunhofer Institute for Integrated Circuits IIS developing AI solutions in Data Science and NLP. Focusing on innovative applications and cutting - edge technologies in generative AI and machine learning.
Engage in a dual study program focusing on AI and Data Science. Responsibilities include machine learning model development and data processing in a collaborative environment.
Lead Data Scientist developing AI - powered capabilities at S&P Global. Architecting ML products and mentoring a skilled team in an engaging global environment.
Data Scientist / ML Engineer at Franklin Templeton designing and productionizing machine learning systems for business solutions. Collaborating with teams to deliver scalable and reliable ML solutions.
Data Scientist leading complex analytics projects to drive data - informed business decisions. Collaborating with senior leadership at Vanguard to enhance analytical capabilities.
Data Scientist creating machine learning solutions to detect financial crime at a significant financial institution. Leading model development with business stakeholders and engineers while maintaining compliance standards.
Working Student at Fraunhofer Institute focusing on Data Science and Natural Language Processing. Involved in AI - driven projects with a flexible work schedule.
Werkstudent*in in Data Science und Natural Language Processing bei Fraunhofer, tätig in KI - gestütztem Wissensmanagement und innovativer KI - Lösungsentwicklung.