Data Scientist (Trainee)

About seQura

seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers.

We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education (EduQa), Optics (OptiQa), Repairs and Travel.
We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months.

Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR and approaching 100 Million in Annual Recurring Revenue.
Over 5000 businesses, almost 2 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.7/5.

Requirements

What challenges you'll be solving 🚀

• Build and implement machine learning models in line with SeQura’s strategic goals. Document them.

• Understand business problems and convey them into data science projects.

• Collaborate with data engineers to create automated flows with datasets that are needed for the models.

• Processing, cleaning and integrating large data sets.

• Work with business analysts and internal stakeholders in order to prove the effectiveness of the model-driven decisions, identify issues and tackle them.

What you’ll need 🫱🏼‍🫲🏽

• Bachelor's degree in data science, mathematics, physics, computer science, engineering, or related field.

• A Master in Data Science or proven knowledge of Data Science.

• No previous experience required.

• Advanced programming skills in Python and Sql. working knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.

• Strong analytical skills with a demonstrated ability to think critically and problem-solve.

• A logical mindset and a natural curiosity for uncovering the root causes of problems.

• Excellent communication and interpersonal skills, with the ability to collaborate effectively with team members and stakeholders.

• Fluent in English is a must.

Which are the next steps?

1. HR interview

2. Technical interview

3. Meet the Head of Data & AI

4. Cultural interview

Do you want to be part of the change? Join us!👇