- June 29, 2016
- Stage (5 à 6 mois)
- Début : June 30, 2020
- Salaire entre €1K et €2K / mois
- Bac +5 / Master
- < 6 mois
- Application mobile, FinTech / InsurTech, Marketing / Communication
- De 15 à 50 salariés
- Stage (5 à 6 mois)
PayLead is a Fintech specialized in transaction data analysis. Thanks to our expertise in Artificial Intelligence, we enhance the value of payment flows and offer financial institutions and merchants the keys to incomparable customer knowledge while complying fully with a “privacy by design” policy.
Our Account-Linked Offer® is the latest technology enabling all transaction data to be collected, and not just bank card payments. Thanks to both our data science expertise and the customer knowledge generated by ALO®, Financial institutions are now in a position to enhance consumer experience by enabling them to recommend their customers offers adapted to their purchasing history, directly embeded in their means of payment. Customers receive offers from retailers in line with their expectations, and once a purchase has been made, a cashback reward is directly credited to their bank account.
Descriptif du poste
As previously mentioned, Paylead’s core business is valuing bank transaction data for users, banks or re/etailers. Volume and sparsity of this data require to use advanced data collection, data engineering and data science techniques. In this context our data team is expanding and we are now looking for a DATA SCIENCE INTERN.
Her/His main responsibilities will be to
- monitor Paylead activity
- Improve and maintain our KPIs & Dashboards tool
- Validate positive impacts of algorithms released by Data Scientists
- Suggest and write quantitative studies for our community and prospects
- Assess Paylead marketing campaigns impact
SKILLS THAT WE EXPECT
- An infinite love for numbers
- Fluent in Python (numpy, pandas, matplotlib), Excel and SQL
- Know some maths behind standard machine learning models
- Graduated from a rank A engineering or business school
As Paylead Data team is growing quickly, end of study interships are preferred.
Déroulement des entretiens
Interviews with Paylead Data team members
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