ENERGIE RECRUTE

www.energierecrute.com

2 Jobs

4 Employees

About the Company

Bienvenue sur le premier Réseau professionnel de l'Energie et de l'Environnement ! Actualité, Emploi, Stages, Formation, Métiers, tout ce que vous devez savoir sur les secteurs de l'Energie et de l'Environnement ! N'attendez plus, rejoignez-nous !

Listed Jobs

Company Name: ENERGIE RECRUTE
Job Title: Stagiaire Data Analyst Industrie & Innovation Digitale F/H - orano
Job Description: **Job title** Data Analyst Intern – Industrial & Digital Innovation (F/M) **Role Summary** Internship focused on data exploration, Power BI dashboard creation, and basic machine‑learning model development within an industrial and nuclear context. The role requires contributing to data documentation, supporting business users, and driving data‑driven innovation. **Expectations** - Rapid adaptation to industrial data environments - Proactive learning of Power BI, data processing, and introductory ML techniques - Collaborative engagement with cross‑functional teams **Key Responsibilities** - Analyse datasets and extract actionable indicators - Design, develop, and deploy interactive Power BI dashboards for performance monitoring - Automate and industrialise reporting workflows - Document data analyses, methodologies, and data sources to ensure transparency and sustainability - Support daily data exploitation for business units, enhancing existing Power BI reports - Prepare and clean datasets for predictive models (forecasting, classification, anomaly detection) - Participate in basic ML model creation and evaluation - Conduct technology watch on emerging data tools and trends - Propose improvement ideas and innovative approaches to enrich ongoing projects **Required Skills** - Proficiency in Power BI (dashboard design, data modelling, DAX) - Strong analytical skills and data‑visualisation ability - Basic experience with data cleaning and preparation (Excel, SQL, Python/R) - Knowledge of introductory machine‑learning concepts (forecasting, classification, anomaly detection) - Good written and verbal communication for documentation and stakeholder support - Curiosity and willingness to learn new technologies **Required Education & Certifications** - Current enrolment or recent graduation (Bachelor’s or Master’s) in Data Science, Statistics, Computer Science, Industrial Engineering, or related field - Coursework or certificates in data analytics or business intelligence (e.g., Microsoft Power BI, Tableau, SQL) is advantageous.

La bloutière, France

Hybrid

24-11-2025

Company Name: ENERGIE RECRUTE
Job Title: DATA ENGINEERING F/H - orano
Job Description: **Job title** Data Engineering Internship (F/H) **Role Summary** Design, prototype, and deploy a data collection and predictive modeling tool to improve project planning quality for complex nuclear engineering projects. The internship supports the Data Science and Project Planning teams by extracting, structuring, and analysing internal and external data sources to enable accurate duration predictions for project phases. **Expectations** * Develop end‑to‑end data pipelines: extraction, cleaning, consolidation, and storage. * Prototype web‑scraping and API ingestion tools to gather external data. * Contribute to the design of a database schema that serves both data warehousing and model training. * Assist in selecting and training supervised learning models that forecast project phase durations. * Collaborate across cross‑functional teams, presenting discoveries and progress to stakeholders. * Maintain data quality, governance, and confidentiality throughout the process. **Key Responsibilities** 1. **Contextual Immersion** – Understand project planning processes in the nuclear industry. 2. **Strategic Analysis & Design** – Identify key data elements, map data sources, and define use‑cases for supervised models. 3. **Data Collection Tool Development** – Build prototypes for web scraping, API access, and automated extraction. 4. **Deployment & Data Preparation** – Execute internal data collection, clean, consolidate, and prepare datasets for analytics. 5. **Modeling & Prediction** – Evaluate candidate algorithms, train predictive models for phase durations, and deliver final outputs to the planning team. 6. **Documentation & Knowledge Transfer** – Create technical documentation and support ongoing maintenance of the tool. **Required Skills** * Proficiency in Python (Pandas, NumPy, Requests, BeautifulSoup/Scrapy). * SQL and relational database design. * Experience with ETL/ELT workflows and data pipeline orchestration (Airflow, Prefect, or similar). * Knowledge of web scraping techniques and API integration. * Basic understanding of supervised machine learning (scikit‑learn, XGBoost, etc.). * Data cleaning, validation, and quality assurance capabilities. * Ability to work collaboratively in cross‑functional teams. * Strong communication skills in French and English (written & verbal). **Required Education & Certifications** * Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical/Electronic Engineering, or related field. * Relevant certifications (e.g., Google Cloud Data Engineer, AWS Certified Data Analytics, or Microsoft Azure Data Engineer Associate) are a plus but not mandatory. ---

Montigny-le-bretonneux, France

On site

09-12-2025