Senior Data Scientist
Role details
Job location
Tech stack
Job description
Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world's leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations. Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai. What you will be doing - Key responsibilities As a Senior Data Scientist, you will play a key role in designing, delivering, and scaling AI solutions for our clients. You will be responsible for ensuring technical excellence while mentoring less experienced data scientists and acting as a trusted advisor for business stakeholders. Your main responsibilities will include: Delivering end-to-end AI projects
Frame use cases with business teams, validate data availability, and define the right approach. Design and implement machine learning or generative AI solutions that create measurable business impact. Ensure solutions are robust, scalable, and production-ready by applying software engineering and MLOps best practices.
Driving technical excellence
Translate business requirements into robust AI pipelines and architectures. Promote best practices in coding, testing, and deployment to guarantee maintainability and scalability. Explore and apply advanced AI techniques to solve complex client problems.
Being a trusted advisor for clients and teams
Explain AI approaches in clear and pragmatic terms, highlighting feasibility, risks, and ROI. Build strong relationships with client stakeholders, from operational teams to managers. Act as a go-to expert for technical guidance within projects.
Contributing to team and knowledge development
Mentor junior data scientists, provide feedback, and support their growth. Share best practices through workshops, documentation, and informal training sessions. Contribute to internal accelerators and tools to increase delivery efficiency across projects. Maintain active technology watch and bring new methods, tools, and frameworks into practice.
Requirements
3+ years of hands-on experience developing and deploying data-driven solutions. Strong knowledge in applied machine learning and generative AI. Solid understanding of software engineering and MLOps best practices. Experience delivering AI projects in cloud environments.
In addition to technical expertise, we value individuals who can:
Show intellectual curiosity and structured problem-solving. Approach challenges with pragmatism and creativity. Bridge the gap between business stakeholders and technical teams.Deliver with autonomy and reliability, ensuring client satisfaction.Share knowledge and mentor more junior colleagues.Build trust with clients through clear communication and rigor.
