Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 48.160 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop innovative AI solutions, analyze data to identify value creation potentials, and work closely with clients to successfully implement data-driven use cases in practice.
Job Technologies
Your role in the team
- Implement innovative, forward-looking AI solutions.
- Utilize your analytical mind and creative thinking strategically to develop the next generation of Data Science solutions for our clients and to advance the use of generative and agentic AI.
- As part of an interdisciplinary team, you as a Data Science Analyst focus on identifying improvement and value creation potentials, developing targeted analyses, and directly contributing to the data being used to generate value.
- At Accenture, you work with leading companies and institutions worldwide on groundbreaking solutions.
- The goal: to identify, design, test, and successfully implement data-driven use cases – from the initial idea to scaling.
- In your role as a Data Science Analyst, you maintain close contact with decision-makers on the client side and ensure that the developed AI solutions are successfully implemented and scaled in real-world environments.
This text has been machine translated. Show original
Our expectations of you
Education
- Successful completion of a relevant university degree at master's level in fields such as physics, mathematics, computer science, engineering, or economics.
Qualifications
- The talent to analyze problems with razor-sharp insight and then creatively as well as effectively solve them in close collaboration with our clients.
- Project-related mobility, independent working, strong communication skills in German and English, and a high customer orientation.
Experience
- Initial practical experience in Data Science and knowledge in the areas of Machine Learning, Deep Learning, or Reinforcement Learning.
- Basic understanding of Generative AI (e.g., Retrieval-Augmented Generation/RAG); initial experience with agentic AI and common frameworks such as LangChain or LangGraph is a plus.
- Solid programming skills in Python, as well as experience with common frameworks (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch) and in the field of data aggregation (e.g., SQL, Spark).
- Knowledge in the field of databases (SQL, NoSQL, vector or graph databases), BI and visualization tools (e.g., Tableau, Power BI, or Qlik), as well as experience with cloud solutions (e.g., Azure, AWS, Google Cloud Platform) are advantageous.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
More net
Health, Fitness & Fun
Job Locations
Topics that you deal with on the job
This is your employer
Accenture GmbH
Wien, Linz
Accenture is one of the world's leading professional services firms, renowned for its consulting and outsourcing services with a focus on Strategy, Digital, Technology and Operations.
Description
- Founding year
- 1993
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(3 Reviews)3.8
Culture
3.9Workingconditions
4.3Career Growth
3.8Engineering
3.0
AI & Data Science Analyst
- Salary
- from 48.160 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
