Exciting Opportunities for Data Scientists at Capgemini in Casablanca
Capgemini is actively recruiting skilled Data Scientists to enhance its operations tied to data and artificial intelligence in Casablanca. The multinational group collaborates with major players across various sectors, including banking, insurance, energy, and industry. Its teams are engaged in numerous transformative technology projects, which encompass data integration, modernization of information systems, and the development of analytical solutions tailored to meet business needs.
As a leader in engineering services on an international scale, Capgemini Engineering brings together a diverse pool of engineers, scientists, architects, and technical experts to tackle projects that require a profound understanding of technology, data, and industrialization methods. In Morocco, Capgemini undertakes consulting missions, IT services, and digital transformation initiatives. The newly recruited Data Scientists will work within multidisciplinary teams, playing a pivotal role in designing solutions that optimize data utilization, automate specific analyses, and support decision-making processes.
The Role of a Data Scientist
The Data Scientist will engage in projects that combine data analysis, Machine Learning, artificial intelligence, and model industrialization. This role demands an ability to comprehend business challenges, select appropriate analytical methods, and convert findings into actionable solutions. Key responsibilities include analyzing structured and unstructured data to identify trends, correlations, and valuable insights for business teams, as well as designing, training, and evaluating Machine Learning models aligned with project objectives.
Moreover, the Data Scientist will contribute to the development of AI-based solutions and predictive analytics, prepare, clean, and transform data for use in analytical models, and define relevant variables while choosing the most suitable statistical or algorithmic approaches. They will also measure model performance, implement necessary adjustments to enhance accuracy and reliability, and contribute to model industrialization for integration into production environments. Collaboration with Data Engineering, development, architecture, business, and project management teams is essential, as is documenting methodologies, results, and usage conditions of developed models. Additionally, Data Scientists will engage in data valorization by proposing analyses and solutions that address concrete operational challenges while staying updated on new Machine Learning techniques, data tools, and advancements in artificial intelligence.
Ideal candidates should have significant experience in Data Science and advanced data analysis, demonstrating a robust background in designing analytical or predictive models, mastering primary Machine Learning approaches, and understanding their application conditions. Furthermore, candidates should have prior experience in the industrialization, deployment, or monitoring of models in production, grasp the implications concerning data quality, availability, governance, and utilization, and be capable of navigating complex technical environments involving multiple stakeholders. Strong analytical, synthesis, and problem-solving skills, autonomy in organizing and tracking assigned tasks, and the ability to communicate technical results clearly to both specialized and non-specialized audiences are crucial. A results-oriented mindset with the capacity to propose solutions that align with operational constraints is also essential.
Interested individuals are encouraged to send their CVs to hajar.rkhami@capgemini.com. Candidates can also connect via private message on LinkedIn, specifying their experience in Data Science, Machine Learning, and model industrialization.
As reported by dreamjob.ma.
