Your Opportunity Join our Paris team to have direct impact of building proprietary technology which will be powering up our investment execution and support in deploying meaningful insights of public and private software and tech companies, market insights & trends

Your Responsibilities

• Play a key role in unlocking investment opportunities for tier 1 institutional investors such as Private Equity funds, by finding insights from data related to Software & tech companies

• Work with the Leadership & Product team to understand business needs and propose relevant approaches

• Extract and transform data about software companies, including financial data (e.g. revenue, growth, EBITDA, etc.), non-financial data (e.g., description, number of employees, HQ, etc.) and alternative data sets (e.g., Google news, social media, etc.) -from multiple sources including internal databases, web scraping, REST APIs, etc. to prepare for data analysis and modelling

• Design and develop Data science algorithms and Machine Learning models to implement use cases, e.g., designing supervised learning algorithms to classify Software & tech companies, implementing algorithms to map relations between companies (e.g., competitors)

• Contribute to industrializing these use cases to enable embedding insights in our products(Web platforms)

Across the firm, we attract motivated, intellectually curious and rigorous professionals who are passionate about learning and creating impact.

The ideal candidate will possess the following qualifications:

• You have a Data Science background, with a least years of experience

• You are highly proficient in Python, and you have experience with Machine Learning libraries (e.g., TensorFlow, Scikit-learn, PyTorch, etc.) and ideally with web scraping frameworks such as Scrapy

• You have experience in training and deploying Machine Learning models

• You are able to present technical concepts to diverse, technical, and non-technical audiences

• You like to code following best practices (e.g., clean & simple code, continuous testing, version control)

• You like working in a team setting

• You are not afraid of challenges, are proactive and self-motivated

Please send your CV in English. We use English as a working language at Software Club

• Introduction interview
• Case study
• 2 Final interviews with Head of Data & Investment and founder