Senior Data Scientist Consultant - EY GDS Spain - Hybrid

Tamarind Intelligence; Madrid; Presencial; EUR 65.000 - 90.000; Jornada completa

Descripción de la vacante

EY Global Delivery Services (GDS) in Madrid seeks a Senior Data Scientist consultant to design and implement cutting-edge AI models, focusing on NLP, GenAI, and MLOps. You will collaborate with cross-functional teams to translate complex business needs into scalable AI solutions, with strong Python, ML frameworks, and cloud deployment skills.

The ideal candidate has 3+ years in data science, a solid foundation in ML theory, data analysis, and experience building production-ready models in cloud

Formación

• 3+ years in Data Science and AI, applying ML and AI solutions in production environments.
• Proficiency in Python and frameworks such as TensorFlow, PyTorch, Pandas, or Scikit-Learn; capable of end-to-end model development.
• Strong understanding of NLP techniques, tokenization, embeddings, and string similarity; selection of ML approaches with solid math foundation.
• Skilled at analyzing complex datasets to extract actionable insights for business decisions.
• Hands-on experience with MLOps, CI/CD pipelines, model monitoring, and versioning using Git or Azure DevOps.
• Experience deploying AI/ML models on cloud platforms like Azure, AWS, or GCP.
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.

Conocimientos

Python

NLP

TensorFlow

PyTorch

Pandas

Scikit-Learn

ML Ops

CI/CD

Git

Azure

AWS

GCP

Data Analysis

Educación

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

Herramientas

LangChain

LangGraph

AutoGen

Semantic Kernel

Docker

Kubernetes

Descripción del empleo

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.