- Company Name
- PwC France
- Job Title
- Consultant(e) Data & AI Business Transformation | Stage | H/F
- Job Description
-
**Job Title**
Data & AI Business Transformation Consultant (Intern)
**Role Summary**
Support clients in unlocking data value to drive strategic outcomes across finance, energy, consumer markets, and other sectors. Design, build, and implement data analytics solutions—models, scoring systems, and exploratory analyses—while ensuring data quality, governance, and integration of emerging AI and cloud technologies. Deliver actionable insights through advanced visualizations and collaborative workshops.
**Expectations**
- Currently enrolled in a Master’s or engineering program in Information Systems, Data Science, or a related discipline.
- Prior consulting experience or participation in an AI/Data transformation team.
- Proficiency in data processing and visualization tools.
- Strong curiosity, methodological rigor, and a keen interest in exploring new technologies.
- Ability to work effectively in cross‑functional teams and to manage multiple concurrent projects.
**Key Responsibilities**
1. Identify business needs and map data ecosystems across functions (HR, Finance, Sales, Procurement, ESG, etc.).
2. Design and develop analytical solutions—statistical models, scoring algorithms, and exploratory data analyses—for key processes.
3. Implement data quality and governance frameworks, creating automated controls to ensure accuracy, integrity, and reliability.
4. Leverage emerging technologies (AI, cloud, analytics) to propose tailored, high‑impact solutions.
5. Deliver insights dynamically using data visualization platforms.
6. Apply Agile, Scrum, and Design Thinking methodologies to ensure iterative, client‑centric delivery.
7. Collaborate across sectors—Financial Services, Energy & Utilities, Consumer Markets—to translate analytics into business performance.
**Required Skills**
- Data processing & manipulation: SQL, Python, R, Alteryx, SAS, RShiny.
- Data visualization: Power BI, Tableau, Qlik.
- Cloud and big‑data platforms: AWS, Azure, GCP, Databricks, Dataiku.
- Methodologies: Agile, Scrum, Design Thinking.
- Strong analytical, problem‑solving, and communication skills.
- Team collaboration, methodological mindset, and adaptability.
**Required Education & Certifications**
- Master’s (M2) or equivalent in Information Systems, Data Science, Data Engineering, or related field.
- Prior experience or coursework in consulting or AI/Data transformation.
- No mandatory certifications; proficiency in listed tools and platforms is essential.
Neuilly-sur-seine, France
Hybrid
30-01-2026