Senior Data Scientist Consultant - EY GDS Spain - Hybrid

EY; Málaga; On-site; EUR 60,000 - 90,000; Full time

Job summary

EY Global Delivery Services (GDS) in Malaga seeks a Senior Data Scientist with 3+ years in Data Science and AI, focusing on NLP, GenAI, and MLOps. You will design and implement AI models, work with cloud platforms (Azure/AWS/GCP), and collaborate with software engineering teams to operationalize solutions.

Ideal candidates have strong Python, ML frameworks, and a background in data engineering. This role offers opportunities across EY’s global delivery network and a dynamic, multinational team

Qualifications

• 3+ years in Data Science and AI, deploying ML/AI in production.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Pandas, Scikit-Learn).
• Strong NLP knowledge including tokenization, embeddings, and string similarity.
• Data analysis skills to extract actionable business insights.
• Hands-on MLOps, CI/CD, model monitoring, and versioning with Git or Azure DevOps.

Skills

Python

NLP

MLOps

Git

CI/CD

Cloud platforms (Azure/AWS/GCP)

TensorFlow

PyTorch

Pandas

Scikit-Learn

Pytorch

Docker

Kubernetes

LangChain

LangGraph

AutoGen

Semantic Kernel

Education

Bachelor’s or Master’s in CS/Engineering/Data Science

Tools

LangChain

LangGraph

AutoGen

Semantic Kernel

Docker

Kubernetes

Job description

Location: Malaga

Other locations: Primary Location Only

Date: Sep 16, 2026

Requisition ID: 1744800

Senior Data Scientist consultant

The opportunity

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, and MLOps practices will be valuable in this role. Your key responsibilities Skills and attributes for success

To qualify for the role, you must have

• Experience: 3+ years in Data Science and Artificial Intelligence, applying ML and AI solutions in production environments.
• Programming & Frameworks: Proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, Pandas, or Scikit-Learn. Capable of building, training, validating, and deploying Machine Learning models end-to end.
• Machine Learning Expertise: Strong understanding of Natural Language Processing (NLP) techniques, including tokenization, embeddings, and string similarity. Ability to select the right ML approach for each problem, with solid grasp of underlying mathematical and statistical principles.
• Data Analysis: Skilled at analyzing and interpreting complex datasets to extract actionable insights and guide business decisions.
• AI/ML Engineering Practices: Hands-on experience with MLOps, CI/CD pipelines, model monitoring, and versioning using tools such as Git or Azure DevOps.
• Cloud Platforms: Experience deploying AI/ML models on cloud platforms like Azure, AWS, or GCP.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related quantitative field.

Ideally, you’ll also

• Generative AI (GenAI): Knowledge and practical experience with generative AI models, including Agentic AI.
• Frameworks: Experience with tools such as LangChain, LangGraph, AutoGen, Semantic Kernel, or similar frameworks for building AI applications.
• DevOps Tools: Hands-on experience with Docker and Kubernetes for scalable AI deployment.
• Trusted AI Practices: Understanding of fairness, transparency, and accountability in AI systems, with experience implementing monitoring and logging to ensure model reliability.
• Collaboration: Proven ability to work seamlessly with software engineering and operations teams for smooth AI model integration and deployment.
• Analytical Skills: Excellent problem-solving and analytical capabilities, with the ability to translate complex business requirements into technical AI solutions.

What we look for

We are a dynamic team of passionate specialists, working in international teams all over the world. As part of the Data and Artificial Intelligence team, we look for “out of the box thinking" professionals that will build good relationships with our clients. If you want to be a part of this journey, we are looking forward to seeing you on board!

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across eight locations – Argentina, China, India, Philippines, Poland, UK, Hungary and Spain – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy.

From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe.

We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

About EY

EY Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

The exceptional EY experience. It’s yours to build.