Data Scientist, Financial Services Analytics | Cloud & ML

Job Title: Data Scientist (B2B Contract)

About the Role:

Our client, a leading financial institution, is seeking a motivated and experienced Data Scientist to join their dynamic team. In this role, you will be crucial in transforming complex datasets into actionable insights that drive business decisions within the Corporate & Investment Banking (C&IB) sector. You will collaborate with cross-functional teams to design, develop, and implement cutting-edge data solutions, ensuring alignment with IT architecture standards.

Responsibilities:

• Actively propose and develop data solutions that convert large datasets into clear, comprehensible figures for business users.
• Design data solutions that adhere to established IT reference architecture.
• Propose software designs for applications or components, adhering to established standards, patterns, and tools.
• Demonstrate the ability to understand and navigate intricate architectures involving a diverse range of interconnected technologies.

Qualifications:

• Language Skills: Fluent communication in English and fluent Spanish.
• Experience: 2-3 years of experience in Data Science, with a proven track record of developing end-to-end data solutions.
• Technical Skills: Proficiency in SQL or a comparable programming language (Python, SAS, SPSS, MATLAB).
• Domain Knowledge: Familiarity with Model Risk Management concepts and experience in Corporate & Investment Banking or Payments.
• Agile Experience: Experience working in Agile environments using tools like Jira, Confluence, and GIT.
• Cloud and ML Knowledge: Understanding of Cloud Computing environments, machine learning principles, and MLOps.

Interview Process:

• CV Review
• HR Interview
• Technical Interview
• Feedback and Offer
• Time Off: 20 business days off per year.
• Professional Development: Access to training programs like Udemy and personalized development plans.
• Benefits Package: Health Insurance, Sports Package, and Life Insurance.

• Language Skills: Fluent communication in English and fluent Spanish.
• Experience: 2-3 years of experience in Data Science, with a proven track record of developing end-to-end data solutions.
• Technical Skills: Proficiency in SQL or a comparable programming language (Python, SAS, SPSS, MATLAB).
• Domain Knowledge: Familiarity with Model Risk Management concepts and experience in Corporate & Investment Banking or Payments.
• Agile Experience: Experience working in Agile environments using tools like Jira, Confluence, and GIT.
• Cloud and ML Knowledge: Understanding of Cloud Computing environments, machine learning principles, and MLOps.

• HR Interview
• Technical Interview
• Feedback and Offer
• Time Off: 20 business days off per year.
• Professional Development: Access to training programs like Udemy and personalized development plans.
• Benefits Package: Health Insurance, Sports Package, and Life Insurance.