Junior Data Scientist

• Support the analysis of business needs and contribute to translating them into data and analytics use cases, under the guidance of more senior team members.
• Participate in the development, training, and evaluation of data science and machine learning models, with occasional exposure to basic NLP use cases (e.g. text classification, similarity analysis).
• Explore, clean, and analyze structured and semi structured datasets to assess data quality, consistency, and analytical potential.
• Build exploratory analyses and Proofs of Concept (PoCs) to demonstrate the value of data driven approaches to business stakeholders.
• Assist in improving model performance through feature engineering, variable selection, and initial hyperparameter tuning.
• Collaborate with data scientists, data engineers, and business teams on a variety of data related projects.

• Master’s degree in Data Science, AI, Computer Science or related field.
• Solid foundations in data analysis and machine learning; basic knowledge of NLP is a plus but not mandatory.
• Proficiency in Python for data analysis and machine learning (e.g. pandas, numpy, scikit learn).
• Strong interest in data, analytics, and AI, with a willingness to learn and grow technically.
• Ability to understand business problems and approach them with an analytical mindset.
• Good communication skills and the ability to work collaboratively with technical and non technical stakeholders.
• Fluent in English and French.

At Sogeti, we believe the best is inside every one of us. Whether you are early in your career or at the top of your game, we’ll encourage you to fulfill your potential to be better. Through our shared passion for technology, our entrepreneurial culture, and our focus on continuous learning, we’ll provide everything you need to become the best you can be, At Sogeti, we embrace diversity and inclusion, collaborate, and celebrate together. We’re committed to ensuring that people of all backgrounds feel belonging at Sogeti irrespective of gender, age, ability status, sexual orientation, ethnic and cultural origin, or social backgrounds. Specific programs also exist locally for veterans or refugees. Through our regular employee survey, we ensure that everyone feels valued for who they are and what they bring.

We encourage flexibility when it comes to when and where people get their work done, allowing a better work-life balance and greater empowerment. Employees work with their managers to determine an arrangement that works best for their role and personal circumstances.

We offer access to one of the best digital learning packages in the market to improve both your soft and hard skills. Encouraging you to be curious and accountable for your skills development. Our learning offers are world class and free to every employee across the globe. Access all learning assets and curated programs from business experts, plus content from leading partners including Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more.