Data Scientist - Marketing Analytics

BNP Paribas Personal Finance; Lisboa; Presencial; EUR 35 000 - 55 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health Insurance

Extra vacation days

Flexible Benefits Platform

Smart working policy

24-hour helpline for support

Resumo da oferta

BNP Paribas Personal Finance is seeking a Data Scientist to join their Marketing team in Lisbon. The role focuses on collecting customer behavior data and developing statistical models.

The position requires strong programming skills in Python, experience with SQL, and proficiency in quantitative analysis. The successful candidate will also enjoy flexible benefits including health insurance, extra vacation days, and a smart working policy.

Qualificações

• Strong programming skills in Python required.
• Experience in quantitative analysis and machine learning.
• Familiarity with SQL and ETL processes essential.

Responsabilidades

• Develop and maintain data workflows.
• Design predictive models for analysis.
• Ensure quality in data extractions and code.

Conhecimentos

Strong programming and scripting skills in Python

Quantitative analysis skills

Good knowledge of data workflows

Good communication and organization skills

Good level of English

Formação académica

Degree in Information Technology, Computer Engineering, Mathematics, Statistics, Physics, or related field

Ferramentas

SQL

ETL processes

Git

SAS

Descrição da oferta de emprego

Overview

Do you want to be part of the change? Then, you’re in the right place. Our ambition is to build a sustainable future for our clients and our teams… But we can’t do that without you! By joining BNP Paribas Personal Finance, take part in our great transformation towards building a more sustainable world: we are committed to promoting access to more responsible and sustainable consumption to support our customers and partners.

To achieve this, we implement concrete actions, not only in the way we develop our business and enhance our sustainable growth, with the ambition to reduce our environmental footprint, but also in the way we support those who need it most. Our analytical teams use state-of-the-art data science and visualization techniques to solve business issues and uncover opportunities for BNP Paribas Personal Finance. Our team is embedded in the business context, and we ensure that we deliver fast, stable, and scalable data and AI solutions with a measurable impact for our stakeholders. We have vast amounts of data in the Bank, and we know that the value will come with robust solutions deployed in production.

In practice, your day-to-day

Integrated in the Marketing, B2C & B2B scope, the Data Scientist will collect information about customer behavior. You will mainly use Python, SAS and SQL tools to:

Responsibilities

• Develop, maintain and validate data workflows, guaranteeing the quality of our data assets
• Design, create and adapt statistical/ML/AI predictive and decisional models - mainly classifiers, scores, segmentations, churn models, time series analyses
• Deploy the solutions or execute them in batch and validate their metrics during implementation, such as in relational marketing
• Brief stakeholders on the setup, gains and possible evolution of your solutions, and align with offer, relational, communication and business on optimizing our value proposition
• Create one-off analyses and prototypes, design and run test&learn experiments to develop new business and marketing strategies
• Interact with IT, data, operational, and financial teams to ensure data flows, process integration, and standardized analyses and pipelines
• Ensure high quality delivery, in both data extractions, data quality checks, run performance, and code quality

Qualifications

• Degree in Information Technology, Computer Engineering, Mathematics, Statistics, Physics, or related field
• Strong programming and scripting skills in Python
• Quantitative analysis skills and applied knowledge about machine learning, statistical analysis (AB testing, significance tests, uplift models), churn models, optimization
• Good knowledge of data workflows: SQL and ETL processes
• Proficiency in git
• Good communication and organization skills, initiative, focus on delivery
• Good level of English
• Optional: previous experience in a financial or technological or research environment, knowledge of SAS (or ability to become proficient in PROC SQL and macros), working in agile mode, CI/CD processes

What we have to offer

This is a very important topic that we’ll discuss together, based on your specific experience and education.

• Flexible Benefits Platform (benefit+): package that considers benefits in areas such as protection, education and well-being, and which always includes Health Insurance, extendable to your family, and Life Insurance
• Extra vacation days, up to 31, depending on seniority and volunteering
• Partnerships with thousands of entities that give access to some advantages (tourism, food, hospitality, fashion, technology)
• Personal Credit to employees, under advantageous conditions compared to the market
• Smart working policy
• 24-hour helpline available in case you need psychological, legal, financial/tax and psychosocial support

Are you the one we are looking for?

• Degree in Information Technology, Computer Engineering, Mathematics, Statistics, Physics, or related field
• Strong programming and scripting skills in Python
• Quantitative analysis skills and applied knowledge about machine learning, statistical analysis (AB testing, significance tests, uplift models), churn models, optimization
• Good knowledge of data workflows: SQL and ETL processes
• Proficiency in git
• Good communication and organization skills, initiative, focus on delivery
• Good level of English
• Optional: previous experience in a financial or technological or research environment, knowledge of SAS (or ability to become proficient in PROC SQL and macros), working in agile mode, CI/CD processes

If you have all this, motivation, energy and a good mood, then you are the one we are seeking... We look forward to your application!

Our commitments

BNP Paribas Personal Finance is an equal opportunity employer that is proud to provide 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.