Working Student in Applied AI Solution Consulting (Nordics)

Job summary

As a Working Student in Applied AI Solution Consulting, you will join the Value Engineering team to help identify and sell the value of solutions to customers in the Nordics. You will gain hands-on experience in executing proof of value projects and engaging in technical discussions with stakeholders.

Qualifications

• Enrolled in a program such as Business Administration, Industrial Engineering, Business Informatics, Technology & Management, Economics, Mathematics, or a related field.
• Strong communication skills with an interest in customer interaction.
• Confidence in presenting to C-level executives and larger audiences.
• Passion for technology, data, OpenAI, and LLMs.
• Experience in consulting and a keen interest in Data Analytics.
• Knowledge of SQL and Python or similar database query languages.
• Analytical mindset with the ability to prioritize and execute tasks effectively.
• Fluent in English; proficiency in Nordic languages is a plus.
• Availability for at least 6-8 months, ideally longer.

Responsibilities

• Analyze customer data to enhance transparency in business processes.
• Identify customer pain points and translate them into actionable use cases for the Process Intelligence Platform.
• Collaborate with customers and partners to address core business challenges.
• Quantify the financial impact of implemented use cases and prepare presentations for management.
• Present findings to customers' C-level executives and decision-makers.
• Utilize data modeling and AI capabilities to identify process inefficiencies and deliver impactful value propositions.
• Communicate the AI value proposition and align solutions with customer strategies.
• Build strong relationships with customers through trust and expertise.

Skills

• Strong analytical and problem-solving skills.
• Effective communication and presentation abilities.
• Technical proficiency in data analysis tools and languages.

Education

• Currently pursuing a degree in a relevant field.

Tools

• Familiarity with SQL, Python, and data analytics tools.