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(Senior) Consultant - Technology Consulting - AI & Data(m/w/x)
Designing Agentic AI and intelligent automation solutions for financial services clients. MSc or PhD in a technical field with hands-on AI and data engineering experience required. 30 days vacation, remote work possible.
Requirements
- MSc or PhD in data science, computer science, mathematics, natural sciences, or engineering
- Interest and experience in AI domains (Generative AI, LLMs, NLP, ML)
- Familiarity with programming paradigms, data structures, algorithms, and software engineering best practices
- Proficiency in Python, PySpark, SQL, C#, Java or similar
- Hands-on experience with Databricks, Palantir Foundry, Snowflake or Microsoft Fabric
- Familiarity with Microsoft technology stack, especially Azure services
- Flexible and proactive mindset, strong problem-solving abilities, excellent communication skills
- Ability to perform in collaborative, cross-functional team environments
- Full professional proficiency in English and German or French
- Willingness to travel within Switzerland and occasionally abroad
Tasks
- Design AI-driven solutions for financial services clients
- Focus on Agentic AI and intelligent automation
- Enable AI capabilities and data engineering
- Develop scalable applications
- Translate business needs into technical architecture
- Ensure scalability, security, and compliance
- Prepare client proposals
- Support internal strategic initiatives
- Share knowledge within the Technology Consulting team
- Collaborate with local and international EY teams
- Deliver high-impact client solutions
Work Experience
- 2 years
Education
- Master's degree
Languages
- English – Native
- German – Native
- French – Native
Tools & Technologies
- Python
- PySpark
- SQL
- C#
- Java
- Databricks
- Palantir Foundry
- Snowflake
- Microsoft Fabric
- Azure
Benefits
More Vacation Days
- 30 days of vacation
Flexible Working
- Remote work possible
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(Senior) Consultant - Technology Consulting - AI & Data(m/w/x)
Designing Agentic AI and intelligent automation solutions for financial services clients. MSc or PhD in a technical field with hands-on AI and data engineering experience required. 30 days vacation, remote work possible.
Requirements
- MSc or PhD in data science, computer science, mathematics, natural sciences, or engineering
- Interest and experience in AI domains (Generative AI, LLMs, NLP, ML)
- Familiarity with programming paradigms, data structures, algorithms, and software engineering best practices
- Proficiency in Python, PySpark, SQL, C#, Java or similar
- Hands-on experience with Databricks, Palantir Foundry, Snowflake or Microsoft Fabric
- Familiarity with Microsoft technology stack, especially Azure services
- Flexible and proactive mindset, strong problem-solving abilities, excellent communication skills
- Ability to perform in collaborative, cross-functional team environments
- Full professional proficiency in English and German or French
- Willingness to travel within Switzerland and occasionally abroad
Tasks
- Design AI-driven solutions for financial services clients
- Focus on Agentic AI and intelligent automation
- Enable AI capabilities and data engineering
- Develop scalable applications
- Translate business needs into technical architecture
- Ensure scalability, security, and compliance
- Prepare client proposals
- Support internal strategic initiatives
- Share knowledge within the Technology Consulting team
- Collaborate with local and international EY teams
- Deliver high-impact client solutions
Work Experience
- 2 years
Education
- Master's degree
Languages
- English – Native
- German – Native
- French – Native
Tools & Technologies
- Python
- PySpark
- SQL
- C#
- Java
- Databricks
- Palantir Foundry
- Snowflake
- Microsoft Fabric
- Azure
Benefits
More Vacation Days
- 30 days of vacation
Flexible Working
- Remote work possible
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
EY
Industry
Consulting
Description
Das Unternehmen EY unterstützt Kunden bei der Schaffung neuer Werte und dem Aufbau von Vertrauen in die Kapitalmärkte.
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