Spinergie

About the Company

At Spinergie, we're dedicated to revolutionizing the maritime sector through solutions to digitalize operations, tackle carbon emissions, and streamline related costs. With over 100 clients worldwide, including charterers, vessel managers, engineering and services companies, we are an international company serving various industries such as offshore, shipping, and marshaling port markets. Combining maritime expertise from our analyst teams with cutting-edge technologies based on data science research to build robust AIs and models enables us to propose high-quality data intelligence and relevant, actionable insights. Our innovative, data-driven approach empowers maritime businesses, supporting decision-making from strategic planning to flawless execution. We guarantee top-class data openness through an easy and secure data journey, including API integration and several entry points or export format possibilities. Join us in shaping a more sustainable world: spinergie.com/demo

Listed Jobs

Company Name

Spinergie

Job Title

Data Scientist (Market Intelligence) - Internship, Paris

Job Description

Job Title: Data Scientist (Market Intelligence) – Internship Role Summary: Short‑term research and development role within the Market Intelligence squad, focused on enhancing a real‑time offshore wind market intelligence product that processes and analyzes vessel position data, market crawling outputs, and other maritime datasets. Expectations: Deliver high‑quality analytics and algorithmic improvements for the identification of seabed survey operations; integrate new data types; design production‑ready models; collaborate closely with developers, product managers, and analysts; demonstrate rapid learning and autonomous problem solving; communicate results clearly to technical and non‑technical stakeholders. Key Responsibilities: - Analyze vessel position streams to differentiate survey operations from transit and maintenance activities, accounting for variable ship speeds and vessel types. - Design, prototype, and validate machine‑learning and statistical models using Python, Pandas, Scikit‑Learn, and NumPy. - Structure and preprocess large‑scale, heterogeneous datasets (tens of thousands of ships in real‑time, crawled market data, in‑house algorithm outputs). - Select and implement algorithms, optimization techniques, and data pipelines for production release, ensuring scalability to hundreds of millions of data points weekly. - Collaborate with software engineering and product teams to integrate models into the existing platform, managing feature engineering, validation, and monitoring. - Work with analysts to verify data quality, spot market trends, and refine product features. - Document technical decisions, performance metrics, and insights for internal stakeholders. Required Skills: - Proficiency in Python; experience with data manipulation libraries (Pandas, NumPy) and machine‑learning frameworks (Scikit‑Learn). - Strong problem‑solving skills, ability to model complex processes logically and communicate solutions clearly. - Familiarity with real‑time data ingestion, streaming concepts, and performance optimization. - Self‑directed learning mindset; capacity to acquire new technologies quickly. - Team‑player attitude and effective cross‑functional collaboration. - Fluent in English (written and spoken). Required Education & Certifications: - Current enrolment in an engineering school or master’s program in computer science, data science, statistics, or related field; internship or co‑op experience in data science is preferred. ---

Paris, France

On site

20-01-2026