Data Scientist Prompt

Expanding steadily since its launch in 2003, the ACENSI group is an IT consultancy firm, well known for theirtechnical and functional know-how, who specialize in Telecommunications, Financial Markets, as well as in the Energy industry.

ACENSI guides businesses in evolutionary IT projects from the initial strategies through to their realization (Project Management, Business Define, Design, Implementation and Infrastructure). From its original focus on technical engineering and Business Analysis, ACENSI has developed new areas of expertise in Digital Application,Business Intelligence, Big Data...

ACENSI BELGIUM is looking for his client a Data Scientist Prompt(F/M/X)

Key Responsibilities

• Prompt Engineering:

Design and create prompts to elicit optimal responses from generative AI tools using best practices and techniques.

• Business Analysis:

Identify business needs, use cases, and scenarios where generative AI tools can add value and solve problems.

• Evaluation & Testing:

Assess the quality and accuracy of generative AI outputs using appropriate metrics and feedback mechanisms.

• Training & Coaching:

Educate business users on effective and responsible use of generative AI tools and establish a structured “Prompt Academy.”

• Documentation & Communication:

Record findings, results, and key learnings to support continuousimprovement and knowledge sharing.

Qualifications & Skills:

• Bachelor's degree or equivalent experience
• Master’s degree in a quantitative discipline (Statistics, Mathematics, Engineering) or an MBA. A PhD is an advantage.
• Candidates with other academic backgrounds but substantial knowledge of prompt engineering techniques are also encouraged to apply.
• Minimum of 3 years of relevant experience in Data Science and Analytics.

Language Requirements

• French: Fluent
• Dutch: Fluent
• English: Fluent

Requirements

Good proficiency (understanding, writing, and speaking)

 Deep knowledge of generative AI tools (e.g., ChatGPT, Mistral, Llama, Microsoft Office CoPilot) and the underlying principles of large language models.

 Strong expertise in advanced prompt engineering, including prompt design, testing, and optimization for various tasks and domains.

Work Environment

 Expectation of 50% on-site and 50% remote work.