Senior Data Scientist Consultant - EY GDS Spain - Hybrid

Ernst & Young LLP
New York, NY, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

LangGraph Framework Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Cloud Computing Computer Programming Continuous Integration Information Engineering DevOps Monitoring of Systems Python (Programming Language)
+20 more
Machine Learning Natural Language Processing Tensorflow Software Engineering Management of Software Versions Data Logging Pytorch LangChain Large Language Models Generative AI Agentic-AI Git Pandas Scikit Learn Information Technology Optimization Algorithms AutoGen Machine Learning Operations Semantic Kernel Docker

Requirements

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 ā€œout of the box thinkingā€ 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!

About the company

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.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build., EY is one of the world’s leading audit, tax, transaction and advisory services firms. Our deep insights and high-quality services help build trust and confidence in capital markets and economies around the world. We are committed to cultivating outstanding leaders and delivering on our strong commitment to all stakeholders through teamwork. As such, we play an important role in building a better business world for our employees, customers and communities.

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