Job description Join our team and start a new adventure in an international and dynamic environment, where you will be able to fulfil your career expectations in a fast growing organization. As a Data Analyst , you will be part of Mantu’s corporate team, working closely with various departments to transform data into insights and value-added solutions that support strategic decision making and improve performance across the organization. Your missions Design, develop and deploy machine learning models to solve business problems Collect, clean and process structured and unstructured data from multiple sources Perform statistical analysis and predictive modeling to uncover trends and patterns Develop dashboards and data visualization tools to communicate findings Collaborate with IT and business teams to integrate models into operational systems Validate models and ensure robustness, scalability, and reliability Stay up to date with the latest data science trends, technologies, and best practices Document solutions, prepare technical reports, and present results to stakeholders Your profile Academic background: Master’s degree or PhD in Data Science, Computer Science, Statistics, or similar Experience with data manipulation and analysis using Python and libraries like pandas, NumPy, scikit-learn Proficiency in machine learning algorithms and statistical modeling techniques Familiarity with data visualization tools such as Tableau, Power BI or Plotly Experience with cloud platforms (e.g., AWS, GCP, Azure) and databases (SQL, NoSQL) Fluent English. French is a plus. You are analytical, curious, and business-oriented, with excellent communication skills What we offer An international community bringing together 110+ different nationalities An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities A robust training system with our internal Academy and 250+ available modules A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.) Strong commitments to CSR notably through participation in our WeCare Together program Remote policy: Possibility to work remotely up to 2 days per week We are proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.