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Senior Data Scientist - AI & Optimization (Retail)

Hybrid in Madrid·Full-time·Added 2 days ago (last checked 28 Oct)

Capgemini

419 open roles

Our summary

Work mode
Hybrid, Madrid
Contract
Full-time
Experience
7+ years
Education
University degree

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Skills

This job advert was originally written in Spanish.

Requirements

What we're looking for

- Have more than 7 years of relevant experience, although equivalent experience will also be considered.
- Possess a university degree in a quantitative field (Bachelor's/Master's) or equivalent practical experience.
Key technical skills:
- Mastery of Python and extensive knowledge of mathematical optimization and machine learning (ML) methodologies, including supervised and unsupervised learning, and forecasting.
- Understanding when different analytical and AI approaches are—and are not—the right solution.
- Translating complex business challenges into well-defined analytical and technical problems.
- Maintaining high coding standards and a strong focus on technical excellence, developing robust, reliable, and easy-to-maintain solutions.
- Problem-solving capability based on first principles and adaptability.
- Breaking down unknown problems to their fundamentals instead of relying on predefined templates.
- Feeling comfortable with ambiguous and changing requirements, as well as the evolving scope of projects.

Nice to have

• Experience with production-level machine learning (ML) and modern MLOps practices, including CI/CD, MLflow,
• Infrastructure as code or Terraform.
• Experience with generative/agentic AI.
• Experience with GCP and/or Databricks.
• Experience with spatial analysis, geospatial methods, or other use cases related to physical space.

We value all applications and offer on-site, online, and certified training. Even if you do not meet 100% of the requirements, we want to meet you!

What will you like about working here?

• Varied and challenging projects: You will work on multi-sector challenges, avoiding routine and exposing yourself to diverse technologies.
• Flexibility and hybrid model: A culture oriented towards work-life balance.
• Continuous learning:
- Training in cloud technologies, data governance, visualization...
- Real participation in projects involving generative AI, Business AI, and emerging data technologies.
• Diversity of clients and constant innovation: Real-impact projects with leading organizations.
• Collaborative and inclusive environments: Dynamic, multicultural, and growth-oriented teams.
• Professional growth and technical "challenge": Autonomy, mentoring, certifications, and opportunities to expand your role within the Data & AI area.

Why Capgemini? Our commitments and priorities

Our Equality Plan and Code of Ethics guarantee inclusive, discrimination-free processes, fostering talent in a multicultural environment accessible to people with disabilities (we positively value holding a disability certificate).
Capgemini is a global partner in business and technology transformation, helping organizations accelerate their dual transition toward a digital and sustainable world, generating tangible impact for both businesses and society. We are a responsible and diverse group, with 340,000 professionals in more than 50 countries. With over 55 years of track record, our clients trust Capgemini to harness the value of technology and meet all their business needs. We offer complete solutions ranging from strategy and design to engineering, driven by our leading capabilities in artificial intelligence, generative AI, cloud, and data, along with deep industry knowledge and a strong partner network.

MAKE IT REAL. Join the team! www.capgemini.com/es-es

The role

Choosing Capgemini means choosing a company where you will have the freedom to design your career as you wish, with the support and inspiration of a collaborative community of colleagues around the world. Here you can reinvent what is possible. Join us and help the world's leading organizations discover the value of technology and build a more sustainable and inclusive world.

We have a Data & AI team that will be delighted to have you on board. Would you like to join us?

In this RETAIL sector project, you will have the opportunity to optimize store design and layout: How can we use AI to optimize and accelerate store design and the transformation process, combining product demand forecasts with geometric constraints to generate optimal layouts and guide inventory placement and display location?
On the other hand, you will participate in space transformation: What is the true return on investment (ROI) of every square meter in the stores?

What will be your role?

What you'll do

• Design, build, and implement production-level solutions for store design and transformation, from concept to delivery.
• Tackle unconventional problems using the most appropriate combination of optimization, supervised and unsupervised machine learning, and generative/agentic artificial intelligence.
• Make technical decisions in close collaboration with the project team, choosing the right analytical approach for each scenario.
• Work closely with business stakeholders, product managers, and designers to clarify requirements, test approaches, and communicate progress, pros and cons, and results.
• Collaborate with the data engineering team to ensure solutions can be effectively integrated, deployed, and maintained.

Hiring process

1 interview

  • Submitting your application takes 3 to 5 minutes (name, contact details, CV and optional cover letter).
  • When you accept the offer you receive a pre-boarding plan and an invitation to the monthly RISE welcome event.

About Capgemini

Capgemini is a global leader in consulting, technology services and digital transformation, offering an array of integrated services that combine technology with deep sector expertise. The group describes itself as a global leader in business and technology transformation, powered by AI, and serves industries including aerospace and defense, banking and capital markets, consumer products, energy and utilities, healthcare, insurance, manufacturing, public sector, retail and telecoms.

Its portfolio of brands includes Capgemini Invent, its powerhouse of innovation, design and transformation, Capgemini Engineering, which helps the world's largest innovators engineer the products and services of tomorrow, as well as frog and Sogeti. Its services span cloud, cybersecurity, data and artificial intelligence, digital sovereignty, enterprise management, intelligent industry and sustainable business.

Industry
IT Consulting
Employees
350,000
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