Data Scientist

BNP Paribas Personal Finance; Porto; Presencial; EUR 45 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health Insurance

Extra vacation days

Flexible Benefits Platform

Smart working policy

Resumo da oferta

BNP Paribas Personal Finance in Porto is hiring a Senior Data Scientist (M/F) to leverage data analytics for business solutions. The role emphasizes optimizing analytical models and mentoring juniors, requiring a degree in IT or related fields, along with strong Python and machine learning skills. Candidates should have at least 3 years of experience and be fluent in English. Benefits include health insurance, flexible working, and additional vacation days depending on seniority.

Qualificações

• At least 3 years of experience in data analytics.
• Strong programming skills in Python and knowledge of machine learning.
• Fluency in oral and written English is required.

Responsabilidades

• Produce and optimize data analytics models and tools.
• Run Python-based analytical engines to serve countries.
• Mentor junior team members.

Conhecimentos

Data analytics

Python programming

Machine learning

Statistical analysis

Collaboration and communication

Agile tools

Formação académica

Degree in Information Technology, Computer Engineering, Mathematics, Statistics

Ferramentas

Git

Tableau

PowerBI

ETL tools

Descrição da oferta de emprego

DATA SCIENTIST (M/F) – PORTO

Operating as a Senior Data Scientist within BNP Paribas Personal Finance, you will apply data analytics and visualization techniques to solve business challenges across multiple geographies.

Responsibilities

• Produce and optimize data analytics models and tools.
• Ensure scalability and code optimization of our engines (RAM, cores, other IT resources).
• Run Python-based analytical engines on a regular basis (monthly, weekly, daily) to serve countries and automate run phases.
• Mentor junior team members.

Qualifications

• Degree in Information Technology, Computer Engineering, Mathematics, Statistics or related fields.
• Strong programming and scripting skills in Python, academic knowledge about machine learning, statistical analysis (AB testing, significance tests) and quantitative analysis skills.
• Knowledge of development pipelines (Git, CI/CD), agile tools (Jira), databases (relational and graph – Vertica, Oracle, SQL Server), experience with ETL, BI/visualization tools (Tableau, PowerBI).
• Good collaboration, communication, adaptability and initiative spirit, high focus on delivery, detail-oriented mindset.
• Fluency in oral and written English.
• At least 3 years of experience (manager 3 to 5 years).
• Open for occasional travel in Europe.

Benefits

• Flexible Benefits Platform (benefit+): package covering protection, education and well-being, including Health Insurance, extendable to family, and Life Insurance.
• Extra vacation days, up to 31, depending on seniority and volunteering.
• Partnerships with thousands of entities providing advantages (tourism, food, hospitality, fashion, technology).
• Personal Credit to employees under advantageous conditions compared to the market.
• Smart working policy.
• 24‑hour helpline for psychological, legal, financial/tax and psychosocial support.

EEO Statement

BNP Paribas Personal Finance is an equal opportunity employer that proudly provides equal employment opportunities to all job seekers. As a socially responsible company, we incorporate the principles of Diversity and Inclusion in our values and practices.