As a Senior Data Scientist dedicated to the Finance function, you are the technical driving force behind the function's innovation efforts. You work directly with business teams to transform pain points and opportunities into concrete solutions by leveraging artificial intelligence, advanced analytics, and automation. Your strength lies in building quickly and proving value. You design proofs of concept, pilots and MVPs that support quick decisions: what works is prepared for broader deployment, and what doesn't work yields actionable lessons. You also act as an AI advisor to the Finance community, working closely with the innovation advisor. More specifically, you will be required to:
- Identify and qualify, with stakeholders, use cases with high potential for the application of AI, advanced analytics, and automation within the Finance function.
- Assess the technical feasibility, business value, and adoption potential of the proposed solutions to prioritize the most promising initiatives.
- Quickly design and develop proofs of concept, pilots, and MVPs to validate or reject a hypothesis within a few weeks.
- Develop models, algorithms, and AI agents that meet the specific business needs of the Finance teams.
- Explore, test and compare new AI technologies to inform the Finance function's technology choices.
- Analyze financial and operational data to highlight trends, risks, and opportunities for optimization.
- Support Finance teams in experimenting with and adopting solutions, and act as the AI resource for the community.
- Ensure the responsible, secure and compliant use of data and AI solutions, in alignment with the organization's guidelines.
- Prepare solutions that have demonstrated their value for production, in collaboration with the relevant technology teams.
What we offer*- Competitive salary and annual bonus
- 4 weeks of flexible vacation starting in the first year
- Defined benefit pension plan that provides predictable, stable income throughout retirement
- Group insurance including telemedicine
- Reimbursement of health and wellness expenses and telework equipment
* Benefits apply based on eligibility criteria.
#LI-Hybrid
What you bring to the table- Bachelor's degree in statistics, mathematics, computer science, artificial intelligence, machine learning or a related field
- A minimum of six years of relevant experience related to data science
- Please note that other combinations of qualifications and relevant experience may be considered
- Hands-on experience in delivering proofs of concept or experimental projects conducted in short cycles, from business need to demonstration of value
- Experience designing models, data products and artificial intelligence solutions, including generative AI or AI agents
- Demonstrated experience explaining complex technical concepts and influencing decision-making among non-technical stakeholders
- Knowledge of French is required
- Proficiency in Python and key data processing and analysis libraries, as well as SQL
- Knowledge of the Finance function (accounting, financial control, financial planning and analysis) or work experience acquired in support of these areas
- Knowledge of financial processes, data and terminology to quickly identify high-value opportunities for applying artificial intelligence
- Proficiency in analyzing and structuring ambiguous or poorly defined business problems in order to identify concrete courses of action
Action oriented, Complexity, Customer Focus, Differences, Innovation, Interpersonal Savvy, Nimble learning
Trade Union (If applicable)Job FamilyData (FG)
Unposting Date2026-08-31
