CLASQUIN

www.clasquin.com

1 Job

992 Employees

About the Company

With an integrated network of more than 85 offices and 1600 employees worldwide, we are the only French multinational SME in the field of Freight Forwarding and Overseas Logistics. This unique positioning allows us to offer end-to-end overall solutions like the industry’s bigger players with the quality of service of an SME (customer proximity, tailor-made offer, creativity, responsiveness …). We offer a complete platform of high added-value services in the overall management of the Overseas Supply-Chain: the design and management of tailor-made transport and logistics solutions as well as the selection and coordination of a network of subcontracting partners among the most successful. Driven by the passion for our business and customer service, by the expertise and enthusiasm of our teams, and thanks to our international deployment strategy (Asia first, America and Europe afterwards), the trust of our customers and our culture of conquest and performance, we have been encountering a double-digit annual growth for over 35 years. Please visit our CLASQUIN website: www.clasquin.com

Listed Jobs

Company Name: CLASQUIN
Job Title: Data Scientist Junior - 6 months internship
Job Description: Job title: Data Scientist Junior – Internship (6 months) Role Summary: Provide data‑driven solutions for freight forwarding operations, focusing on delivery forecasting, emissions monitoring, and operational gap analysis. Expectations: Deliver actionable insights, build and validate forecasting models, evaluate CO₂ emissions, collaborate with multidisciplinary teams, produce analytical reports in English, and present findings to stakeholders. Key Responsibilities: - Analyze and compare planned vs. actual operational plans to identify discrepancies. - Develop a delivery‑date forecasting model tailored to African routes and constraints. - Monitor and analyze CO₂ emissions across the African fleet, detect anomalies, and propose optimisation measures. - Transform raw operational data into actionable insights in collaboration with cross‑functional teams. - Write analytical reports in English and present results to internal and external stakeholders. Required Skills: - Strong mathematics and statistics foundation. - Proficiency with graph algorithms, time‑series analysis, and clustering techniques. - Python development for data science (pandas, scikit‑learn, etc.). - Experience with big‑data environments (Databricks, Azure). - Familiarity with Microsoft Azure services and Power BI. - Excellent written and oral communication in English. - Ability to work collaboratively and manage complex projects independently. Required Education & Certifications: - Master’s student or recent graduate in Computer Science, Data Science, Applied Mathematics, Statistics, or a related field from a recognized institution. - Relevant coursework in statistical modeling, machine learning, and databases. - (Optional) Entry‑level certifications in Microsoft Azure Data Science or Power BI preferred.