LLM Python Developer / Data Scientist (F/M), France

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We truly care for our employees, their individual needs, and their aspirations. We are a thriving community of thinkers, innovators, and individuals who share our purpose: We secure our future.

Tasks

• Data processing and analysis: conduct data crunching activities using Python and data science techniques to extract insights and support decision-making processes.
• Solution development and testing: develop and test use cases for data science applications, implementing PoCs to evaluate new technologies, including generative AI and technical solutions like Dash / React for front-end development.
• Technology evaluation and implementation: collaborate with cross-functional teams to integrate data science solutions into existing systems, ensuring alignment with business objectives.
• Application development: design and implement user-friendly applications using frameworks like Dash / React to visualize data and insights effectively.
• Documentation and communication: generate comprehensive reports, annotated code, and other project artifacts to document and communicate work and outcomes.

Profile

• Python programming: proven experience in Python programming and data analysis.
• Data science expertise: strong understanding of data science methodologies and their applications.
• Application development: experience in developing user-friendly applications using frameworks like Dash / React.
• Collaboration and communication: ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders.
• Demonstrated skill in the use of applied analytics, descriptive statistics, and predictive analytics
• Demonstrated skills in code development in a large team i.e. : usage of Git / tests / CI/CD pipelines
• Developers and Mathematical approach
• Good written and verbal communication skills;
• Being able to work in a fast-paced multidisciplinary environment
• Being able to work autonomously.
• Rigorous and passionate with data
• Bachelor’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) or Business with strong appetite for quantitative topics.