at BNP Paribas
Investment BankingPosted 3 days ago
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**Data Scientist - Marketing Analytics** Drive sustainable growth by leveraging state-of-the-art data science & visualization. Key responsibilities include collecting customer behavior data, developing data workflows, designing predictive models, briefing stakeholders, and collaborating cross-functionally. Requires a degree in a relevant field, strong Python skills, machine learning knowledge, SQL proficiency, git proficiency, and excellent communication. Join our innovative team in Lisbon/Porto, nestled in a flexible, inclusive environment offering competitive benefits.
- Compensation
- Not specified
- City
- Lisbon
- Country
- Portugal
Currency: Not specified
Full Job Description
Do you want to be part of the change?
Then, youre in the right place. Our ambition is to build a sustainable future for our clients and our teams But we cant 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 Person 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:
- 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.
The Mission is important, but so is the Team and the workplace!
Welcome to BNP Paribas Personal Finance, where you will integrate the Marketing Analytics team, composed of specialized, innovative and team-spirited individuals, and based in Lisbon and Porto.
We will accommodate you with an initial integration plan, on-the-job learning, training resources, and networking opportunities.
What do we have to offer you?
This is a very important topic that well discuss together, based on your specific experience and education.
For now, we highlight the following benefits:
- 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.
