Data Scientist, SESAMm
Big data & artificial intelligence for investment firms
Be an early applicant
Big data & artificial intelligence for investment firms
21-100 employees
Be an early applicant
21-100 employees
Company mission
To empower investment professionals with highly modular AI platforms.
Role
Who you are
- 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
What the job involves
- SESAMm, 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
Our take
The investment industry is rapidly evolving, the democratisation of Artificial Intelligence and the tremendous amount of alternative data presents opportunities and challenges. With regards to web data, there is a huge and growing corpus of unstructured content online in hundreds of different languages, which requires increasingly sophisticated Natural Language technologies to extract valuable insights on public and private companies.
SESAMm have developed a modular Natural Language Processing Platform which enables data scientists and investment professionals to generate insights and analytics from a huge data-lake of 20B web-based articles and messages. It covers more than 5M entities and insights can be delivered via an API, web-based dashboards, or pre-processed daily data feeds.
The result is that SESAMm's software turns big data into smart data to give users, typically major hedge funds, banks, and asset managers, a competitive advantage with which to manage assets. Such clients include Carlyle, MUFG and Nomura.
Steph
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Mar 2023
$40.4m
SERIES B
Jan 2021
$8.7m
SERIES B
Total funding: $58.2m
Company HQ
Saint-Georges, Paris, France
Leadership
Florian Aubry
(Co-Founder & CTO)Studied Mechatronics at INSA de Strasbourg before co-founding SESAMm.
Pierre Rinaldi
(Co-Founder & COO)They hold a Master's degree in Corporate Finance from Burgundy School of Business.
Sylvain Forté
(Co-Founder & CEO)They hold a Master's degree in Engineering from the University of INSA Strasbourg.
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