dentsu

About the Company

We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next.

Listed Jobs

Company Name

dentsu

Job Title

STAGE - Assistant DataScientist H/F

Job Description

**Job Title:** Assistant Data Scientist (Intern – 6 months) **Role Summary:** Support the Data Science/AI team at Dentsu Creative in delivering data‑driven solutions for agency clients, prospecting initiatives, and internal R&D projects. Work closely with the Modelling & Data Science Manager to translate business needs into analytical approaches, develop models, extract insights, and communicate recommendations. **Expectations:** - Proactive “do‑er” attitude with strong curiosity and client‑service mindset. - Ability to work independently and collaboratively across Consulting, R&D, Digital, and Creative units. - Excellent communication in French and English (written and oral). - High quality, detail‑oriented work with a focus on delivering actionable insights. **Key Responsibilities:** - Gather and interpret project briefs; define analytical methodology. - Perform data acquisition, cleaning, and exploration on structured and unstructured datasets. - Select and implement appropriate data‑science/AI techniques (e.g., machine‑learning models, NLP). - Develop and validate predictive or descriptive models using Python and/or R. - Create visualizations and dashboards (Power BI, Tableau, etc.) to present findings. - Produce clear, business‑focused reports highlighting insights and recommendations. - Collaborate with cross‑functional teams to integrate analytical outputs into client deliverables. **Required Skills:** - Proficient in Python and/or R for data analysis and modeling. - Strong SQL knowledge and experience with relational data models. - Familiarity with data‑visualisation tools (Power BI, Tableau, or similar). - Understanding of AI/ML concepts and ability to apply them when appropriate, with attention to model quality. - Analytical thinking, problem‑solving, and ability to translate data into business value. - Good interpersonal skills and client‑interaction capability. **Required Education & Certifications:** - Master’s level (Bac+5) degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a closely related field. - No specific certifications required; coursework or project experience in machine learning, data engineering, or business analytics is expected.

Paris, France

Hybrid

12-03-2026