- Company Name
- Simon-Kucher
- Job Title
- Data Scientist Intern (m/f/d) - Stage de fin d’études
- Job Description
-
**Job Title**
Data Scientist Intern (m/f/d) – Final Year Internship
**Role Summary**
Support the development and deployment of machine‑learning models for commercial strategy challenges such as pricing, forecasting, optimization, and recommendation. Convert complex datasets into actionable insights, create clear visualizations, and implement data‑driven solutions in Python, SQL, and cloud platforms. Explore cutting‑edge AI and generative AI techniques to innovate client solutions.
**Expectations**
- Graduate (or near‑graduate) student in engineering, business, data science, statistics, applied mathematics, or computer science.
- Strong academic background with a focus on quantitative methods.
- Fluency in French and English (oral and written); additional European language is a plus.
- Anticipated start date: January 2026.
**Key Responsibilities**
- Build and tune machine‑learning models (regression, classification, clustering, recommendation, time‑series forecasting).
- Prepare, clean, and analyze large, complex datasets; translate findings into strategic insights.
- Design and develop interactive visualizations using Power BI, Tableau, Streamlit, or similar tools.
- Deploy models and dashboards in cloud environments (AWS, GCP, Azure).
- Research and prototype solutions using the latest AI and generative‑AI technologies.
- Collaborate cross‑functionally with data scientists, analysts, and business stakeholders.
**Required Skills**
- Proficient in Python (pandas, scikit‑learn, TensorFlow/PyTorch, etc.).
- Solid understanding of relational databases and SQL query construction.
- Knowledge of statistical fundamentals and core machine‑learning algorithms.
- Experience with data visualization tools (Power BI, Tableau, Streamlit).
- Familiarity with cloud services (AWS, GCP, Azure) and data‑engineering pipelines.
- Strong analytical, structured, and rigorous problem‑solving approach.
- Excellent communication and teamwork skills; entrepreneurial mindset.
**Required Education & Certifications**
- Current enrollment or recent graduation from a top‑tier engineering, business, or university program with a quantitative focus.
- Dual engineering‑commerce degree or hybrid curriculum highly valued.
- No specific mandatory certifications required, but experience with cloud or data‑lab certifications (e.g., AWS Certified Data Analytics or similar) is advantageous.