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Data Scientist Manager II - GAIA Advanced Analytics

On-site in Madrid·Full-time·Added today (last checked 13 Nov)

BBVA

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Our summary

Work mode: On-site, Madrid
Contract: Full-time
Spanish: Expected (ad in Spanish)
Experience: 3+ years

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Skills

This job advert was originally written in Spanish.

Requirements

What we're looking for

Solid experience in advanced analytics or data science applied to business problems, with autonomy to approach projects from end to end, from identifying needs to generating conclusions and recommendations.
Practical knowledge of generative AI, especially ChatGPT and Gemini, and experience using it to improve productivity, code development, automation, and data analysis, with an interest in exploring new functionalities and applications.
Proficiency in SQL and Python to explore, integrate, and transform data, automate processes, and develop reproducible analyses, including working with large volumes of information and activity logs.
Experience in cloud data platforms, especially Google Cloud and BigQuery, with the ability to develop and optimize queries and processes taking into account performance, scalability, and cost.
Experience in data integration and automation, including API consumption, use of Apps Script, and building reliable processes between different data sources in changing data environments.
Knowledge of applied statistics and advanced analytics techniques, including segmentation, trend analysis, and predictive models, with the judgment to select the most appropriate methodologies for each problem.
Experience developing dashboards and analytical products with tools such as Looker Studio, Power BI, or equivalents, paying special attention to metric definition, clarity of information, and its utility for decision-making.
Ability to communicate results and recommendations in a clear and structured manner, adapting the level of detail to technical and business stakeholders.
Knowledge of best practices in quality, traceability, documentation, and data protection, with the ability to apply them in corporate environments.
Analytical thinking and results orientation, with the ability to transform open questions into concrete, actionable problems through data.
Rigor and attention to detail, with a special commitment to the quality, consistency, and reliability of information.
Autonomy, initiative, and prioritization skills, with a practical mindset to propose solutions, face challenges, and operate in dynamic and changing environments.
Clear communication, active listening, and business orientation, with the ability to understand the needs of different stakeholders, convey conclusions, and build trust.
Service vocation and a collaborative spirit, with a willingness to work in a network, help other teams, and share knowledge, code, and best practices.
Passion for artificial intelligence and continuous learning, with curiosity about new technologies, initiative to explore their possibilities, and motivation to apply them to real problems.

Disciplined

The role

BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.

AI Adoption Analytics

What you'll do

We are looking to bring someone into the GAIA AI Adoption Analytics team to help us accelerate the adoption of artificial intelligence at BBVA through data.

Your mission will be to transform usage data, organizational information, and employee feedback into actionable knowledge that allows for the identification of adoption opportunities, guides support initiatives, and evaluates their effectiveness.

You will work with information from the bank's AI ecosystem, including ChatGPT, Gemini for Workspace, Gemini Enterprise, and new programming, automation, and agent capabilities. You will collaborate with global teams, countries, and domains to convert their questions into applicable analyses and recommendations.

You will integrate and transform data from APIs, AI provider platforms, and corporate sources, building reliable, reusable, documented, and traceable datasets.
You will automate data extraction, transformation, and update processes, incorporating quality controls to detect delays, duplications, and information loss, as well as ensuring the preservation of historical data in the face of changes in sources.
You will define and evolve generative AI adoption indicators, including metrics for activation, recurrence, intensity, and depth of use, ensuring consistent measurement criteria across tools, groups, and periods.
You will analyze the evolution of adoption by country, domain, and user profile, identifying behavior patterns, barriers, churn risks, and opportunities to drive higher-value use.
You will develop and evolve dashboards and analytical products that facilitate the monitoring, exploration, and understanding of generative AI adoption at BBVA, communicating results clearly and adapted to each stakeholder.
You will collaborate closely with our GAIA Adoption Network, providing reliable data, analysis, and tools that facilitate decision-making and allow for the promotion of generative AI adoption across the bank's various countries and domains.
You will apply generative AI to your own analytical work to optimize solution development, automate tasks, and streamline data exploration and analysis, verifying results and ensuring compliance with the bank's security and information protection policies.

It is a hands-on role, with direct involvement in code, analysis, and business conversation. We are looking for someone who can follow a question from the identification of necessary data to a useful recommendation for the team.

We want to bring on someone with a curiosity to understand how employees work with AI and the judgment to formulate the questions that help improve its adoption. You will enjoy investigating behaviors, testing hypotheses, and connecting results with concrete decisions.

We expect rigor when working with incomplete or changing information. You must question the quality of sources, make assumptions explicit, and communicate clearly what can be concluded from an analysis. To evaluate the value of AI, you will need to relate observed activity to verifiable results and distinguish associations from causal effects.

You will need autonomy to organize work and propose improvements, along with the ability to prioritize based on the value they bring to the team. At GAIA, we work in a cohesive, networked manner; sharing code, documenting decisions, and helping others use data is part of the role.

You will find a dynamic environment, close to the evolution of generative AI, with opportunities to develop new ways to measure its adoption. Your work will contribute to guiding deployment and support decisions across different areas of the bank.

About BBVA

BBVA (Banco Bilbao Vizcaya Argentaria) is a multinational Spanish banking group and one of the largest financial institutions in Europe, with a strong presence in retail banking, corporate and investment banking, and fintech innovation. Headquartered in Madrid, BBVA operates across more than 25 countries, serving over 70 million customers, and is recognized for its leadership in digital transformation within the banking sector. The bank is also a major player in sustainable finance, with significant commitments to green bonds and climate-related lending.

In Spain, BBVA is a market leader with its headquarters in Madrid and a vast network of offices and branches across the country. The company is known for its innovative and technology-driven work culture, investing heavily in AI, data science, and advanced analytics. For international professionals, BBVA offers a dynamic environment with opportunities in quantitative finance, data science, and corporate banking, and it actively recruits talent from around the world, particularly in its Madrid hub. The bank's commitment to sustainability and digital innovation makes it an attractive employer for those looking to work in a forward-thinking financial institution.

Industry: Banking and Fintech
Founded: 1857
Employees: 100,000–150,000
Headquarters: Madrid, Spain
In Spain: Madrid, Barcelona

Good to know if you are moving

BBVA is headquartered in Madrid, Spain, and is one of the largest banks in Europe, offering a wide range of career opportunities in finance, technology, and data science.
The company has a strong commitment to digital innovation, with significant investment in AI and data analytics, making it an ideal place for tech and data professionals.
BBVA offers international mobility programs, allowing employees to work across its global network in Europe, Latin America, and the United States.
The bank is a leader in sustainability, with a goal to mobilize 300 billion euros in green financing by 2025, providing opportunities for professionals interested in sustainable finance.
BBVA's work culture emphasizes innovation, diversity, and inclusion, with a focus on employee well-being and professional development.

All open roles at BBVA