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Advanced Analytics Specialist

Hybrid in Madrid·Added 2 days ago (last checked 5 Nov)

Mapfre

89 open roles

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Our summary

Work mode: Hybrid, Madrid
Education: University degree

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Skills

This job advert was originally written in Spanish.

Requirements

What we're looking for

Solid understanding of AI/ML concepts, generative AI, and agents.

Programming languages: Python.

Previous experience building models using advanced techniques and handling high-complexity, high-volume data.

Previous experience working with agile methodologies.

Communication skills to interact with non-technical teams.

Minimum of 2 years of experience in the development, training, deployment to production, and measurement of ML projects.

Minimum of 1 year of experience in implementing Generative AI solutions.

Experience in developing AI agents.

Nice to have

Experience with AI agent solutions/frameworks, such as LangGraph (or similar) or Copilot Studio will be valued.

Education & certifications

Degree in Computer Engineering, Mathematics, Physics, Statistics, or related technical fields. Specific training in Data Science will be valued.

The role

LOCATION.- MADRID - CL. MARIA TUBAU, 10

We are looking for an AI engineer for a hybrid role, capable of creating ML models as well as AI agents.

The objective is the design and end-to-end implementation of solutions capable of transforming Verti. With a Data Product orientation, strong ability to liaise with business areas and collaborate with multidisciplinary teams.

What you'll do

Design and propose ML solutions, generative AI, and agents that help the client area achieve its objectives at Verti.

Design of AI agents, considering technical feasibility and business impact in collaboration with multidisciplinary teams (Data Engineering, UX, data scientists, business analysts, etc.)

Build agents that generate real impact, solve problems autonomously, and connect with a business system.

Development and measurement of ML models in production.

Monitoring business impact, analyzing technical metrics to define and implement improvements.

Be part of the leading team at Verti in generative AI and agents.

Act as an interface between business teams and technical teams.

Hiring process

3 steps4 interviews

First point of contact
With recruitment team
Starts from your application, LinkedIn, or a call from the recruitment team or a partner agency; a first conversation about you and the open opportunities.
Interview with Human Resources
With HR team
Conversation about your interests, experience, skills and how you approach challenges, plus your questions about Mapfre.
Technical interview
With the team · 1–2 sessions
One or two interviews with the team to assess technical skills and explain the day-to-day of the role.

About Mapfre

Mapfre is a global insurance company headquartered in Madrid, Spain, with a strong presence in the insurance and reinsurance markets across Europe, the Americas, and Asia. It offers a wide range of products including life, health, auto, and home insurance, and operates through multiple brands such as Verti. With over 30,000 employees worldwide, Mapfre is one of the largest Spanish multinationals in the insurance sector.

In Spain, Mapfre has its main offices in Madrid and Barcelona, with a significant network of commercial offices across the country. The company is known for its strong corporate culture, focus on digital transformation, and investment in technology and data analytics. For international professionals, Mapfre offers opportunities in areas like data science, cybersecurity, cloud architecture, and finance, with a work environment that values innovation and professional development.

Industry: Insurance
Founded: 1933
Employees: 10,000–50,000
Headquarters: Madrid, Spain
In Spain: Madrid, Barcelona

Good to know if you are moving

Mapfre is headquartered in Madrid, Spain, and has a large presence in Barcelona and other Spanish cities.
The company offers roles in English and Spanish, with many technical positions in data, cloud, and cybersecurity.
Mapfre has a strong commitment to digital transformation, investing in AI, data analytics, and cloud infrastructure.
International hires may find opportunities in the company's global operations, especially in Latin America and Europe.
The company provides a stable work environment with a focus on long-term career development.

All open roles at Mapfre