Data Science Intern

il y a 1 mois

Paris e, France Riverbank S.A. French Branch Temps plein

**Who we are?**

RiverBank’s mission is to be the digital bank that makes financing to SMEs and Real Estate professionals easy. From our offices in Amsterdam, Paris and head-office in Luxembourg we act as a niche lending specialist. Our core focus is to grant loans to Small and Medium Enterprises and Real Estate Investors in Europe using a fast, flexible and reliable IT platform. RiverBank operates under a full and universal European Banking License delivering a one-stop shop approach in the entire EU.

The talent and passion of our people is critical to our success. Together, we share a common set of values rooted in excellence, fairness and strong teamwork. RiverBank offers an entrepreneurial environment within the regulatory banking framework - a place for people to learn, to achieve and grow. Our culture promotes diversity and individual perspectives in an international environment, represented by more than 15 nationalities.

**The Challenge**:
This internship offers the opportunity to dive into development best practices, using tools like Git, Docker, and Kubernetes within a CI/CD pipeline. You will also have hands-on experience working with cloud-based virtual machines. With a start-up mindset, this is a chance to not only contribute to impactful projects but also grow in a dynamic, collaborative environment.

To join this team, we are looking for a **Data Science Intern** whose main missions would be to:

- Contribute to an end-to-end data science project focused on entities recognition in bank account transactions
- Gain data science and machine learning knowledge through daily business interactions and work assignments
- Participate on all stages of the Machine Learning project lifecycle: from data collection, EDA, data processing, training, model deployment and monitoring

You will excel as a **Data Science Intern** if you are/have:

- In pursuit of a master’s degree from a major engineering school or equivalent master’s degree in Machine Learning / Data Science field
- Good knowledge of Python and SQL basic queries knowledge
- Knowledge of Data Science and some related libraries such as: Pandas, Scikit-learn, Numpy, Matplotlib, Plotly, Seaborn
- Knowledge of Machine Learning (supervised and unsupervised)
- Generative AI notions (Small & Large Language models / embedding model)
- A previous experience is a plus but is not mandatory
- Full professional capacity in English and French
- Good team Spirit and communication skills, curiosity and autonomy, quality-driven mindset
- **A few words about our Stack**:_
- Gitlab
- Docker/Kubernetes (Rancher, ArgoCD, Lens, K9s)
- Python

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