JOB DESCRIPTION

Are you looking for a new challenge? Do you dream of joining a growing company, proposing new ideas, and taking part in innovative processes?

Here, everyone brings their ideas, skills, and creativity. We value collaboration, support and teamwork. We learn every day from the experience of this great team and we constantly take up new challenges. We are proud of the work accomplished and to participate in the success of this great adventure!

**The Data Scientist Role

We, in partnership with one of the largest private equity (PE) firms in the United States, is seeking a data scientist to join an exciting AI platform project designed to transform investment analysis. This project is at the cutting edge of private equity, leveraging advanced artificial intelligence (AI) to improve data-driven decision-making. As a data scientist, you will contribute to a groundbreaking platform used by deal teams to accelerate and enhance due diligence.

• Advanced Data Analysis & Modeling: Conduct in-depth data analysis to support private equity investment decisions. Develop and implement analytical models — including feature engineering, statistical modeling, and machine learning — to extract insights from complex financial and extra-financial datasets. Ensure results are robust, explainable, and aligned with investment objectives. Translate analytical findings into actionable insights for investment and operational teams.

• Data Engineering & Integration: Design and maintain efficient data pipelines for collecting, cleaning, and integrating large, diverse data sources (financial statements, market data, ESG signals, alternative datasets, etc.). Leverage Python and SQL to optimize processing performance, ensure data quality, and enable scalable analytics across investment workflows.

• Cross-Functional Collaboration: Work closely with investment, operations, and data science teams to identify high-impact analytical use cases. Communicate complex results clearly to both technical and non-technical stakeholders.

Education

• Master’s degree in Data Science, Applied Mathematics, Statistics, or a related quantitative field.

• 3–5 years of hands-on experience in data science or analytics, including internships.

• Proven experience with feature engineering, statistical modeling, and building or evaluating ML models.

• Experience working with large, heterogeneous datasets.

• Prior experience in commercial consulting, investment banking, private equity diligence, or a client-oriented analytical role is a must.

• Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.

• Familiarity with cloud data environments (AWS, Azure, or Databricks) is a plus.

• Ability to synthesize complex data into clear business insights.

• Strong communication and presentation skills; fluent English required, French is a plus.

Flexibility: Team members can work remotely and have the opportunity to work with colleagues around the world.

Work Environment: We are multicultural, with technology, sales, and management teams in the US, France, and Tunisia making important contributions to the company’s growth.

Career Development: We are  growing rapidly, creating ongoing opportunities for personal and professional growth. This dynamic environment allows you to shape the company’s culture and evolution.

Professional Development: Work alongside industry-leading experts and gain valuable exposure to advanced AI and ML technologies applied in private equity. This role offers a unique opportunity to deepen your expertise in these cutting-edge applications.

Mentorship & Training: We  provides structured training and mentorship, with a strong emphasis on knowledge-sharing. Internally and externally led training sessions are organized, and we offer access to educational platforms, encouraging you to expand your AI skill set.

Global Perspective: Collaborate with teams based across Europe and the United States, gaining hands-on international experience in a fast-paced, high-impact environment. This global perspective helps broaden your skill set and provides insights into international market dynamics.

Transparency: You will be kept apprised of the company’s continuing evolution and performance through monthly “Ask Me Anything” meetings, frequent business/finance updates, and strategy-sharing discussions.

Well-being: Building a good culture is key to building a good business. We focus on being a learning organization that values and supports teamwork, thoughtfulness, and work/life balance.