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Senior Data & AI Consultant(m/w/x)
Advising clients in automotive, chemical, and pharma on data-driven strategies and ML maturity. 6-10 years consulting experience required. Partial remote work, dedicated training budget.
Requirements
- 6-10 years of work experience in leading management consultancy (business & technology) or equivalent corporate experience
- Advising clients on data-based topics (advanced analytics, machine learning, data platforms, cloud)
- Ability to identify and prioritize business challenges and provide innovative solutions
- Talent in building lasting relationships with clients and team members
- Bachelor's or Master's degree in IT/computer science, engineering, business, mathematics, or natural sciences
- Fluent English and German
Tasks
- Consult clients on becoming data-driven
- Assess client data and ML maturity
- Identify data-driven use cases
- Define impactful implementation roadmaps
- Understand client data challenges
- Address client tech and business questions
- Collaborate on data-based solution implementation
- Implement impactful ML use cases
- Consult on data governance implementation
- Consult on model governance implementation
- Consult on MLOps implementation
- Consult on analytics centers of excellence
- Co-develop growth strategy with practice head
- Develop concepts for new data & AI offerings
- Contribute to business development
- Prepare for industry conferences
- Participate in industry conferences
- Participate in workshops
- Participate in client sales meetings
- Support creation of white papers
- Support creation of industry thought leadership
Work Experience
- 6 - 10 years
Education
- Bachelor's degree
Languages
- English – Fluent
- German – Fluent
Tools & Technologies
- advanced analytics
- machine learning
- data platforms
- cloud
Benefits
Flexible Working
- Partial remote work
- Flexible working hours
Team Events
- Company events
Additional Allowances
- Dedicated training budget
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Senior Data & AI Consultant(m/w/x)
Advising clients in automotive, chemical, and pharma on data-driven strategies and ML maturity. 6-10 years consulting experience required. Partial remote work, dedicated training budget.
Requirements
- 6-10 years of work experience in leading management consultancy (business & technology) or equivalent corporate experience
- Advising clients on data-based topics (advanced analytics, machine learning, data platforms, cloud)
- Ability to identify and prioritize business challenges and provide innovative solutions
- Talent in building lasting relationships with clients and team members
- Bachelor's or Master's degree in IT/computer science, engineering, business, mathematics, or natural sciences
- Fluent English and German
Tasks
- Consult clients on becoming data-driven
- Assess client data and ML maturity
- Identify data-driven use cases
- Define impactful implementation roadmaps
- Understand client data challenges
- Address client tech and business questions
- Collaborate on data-based solution implementation
- Implement impactful ML use cases
- Consult on data governance implementation
- Consult on model governance implementation
- Consult on MLOps implementation
- Consult on analytics centers of excellence
- Co-develop growth strategy with practice head
- Develop concepts for new data & AI offerings
- Contribute to business development
- Prepare for industry conferences
- Participate in industry conferences
- Participate in workshops
- Participate in client sales meetings
- Support creation of white papers
- Support creation of industry thought leadership
Work Experience
- 6 - 10 years
Education
- Bachelor's degree
Languages
- English – Fluent
- German – Fluent
Tools & Technologies
- advanced analytics
- machine learning
- data platforms
- cloud
Benefits
Flexible Working
- Partial remote work
- Flexible working hours
Team Events
- Company events
Additional Allowances
- Dedicated training budget
About the Company
Unit8 SA
Industry
Consulting
Description
Unit8 is a Swiss AI and data analytics consulting company solving complex problems for traditional industries like automotive, manufacturing, and pharma, driving digital transformation.
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