Junior Data Scientist - EY wavespace Data & AI hub

Ernst & Young Advisory Services Sdn Bhd; Madrid; Presencial; EUR 30.000 - 45.000; Jornada completa

Descripción de la vacante

A leading company is seeking a professional to join their innovative AI team in Madrid. As part of the role, you will design and implement scalable machine learning systems, collaborate with engineering teams, and leverage advanced AI techniques. If you have a strong programming background, excellent problem-solving abilities, and experience with data sets, this position is a great opportunity to contribute to transformative AI technology.

Formación

• 1-2 years of relevant experience in machine learning and software development.
• Familiarity with Azure cloud ecosystem and OpenAI models.
• Proficiency in English and familiarity with Financial Services.

Responsabilidades

• Design and implement scalable ML and DL systems and solutions.
• Collaborate with engineering teams to build deployable systems.
• Develop and evaluate data analytics models and algorithms.

Conocimientos

Programming

Problem Solving

Communication

Teamwork

Descripción del empleo

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Location: Madrid

Other locations: Primary Location Only

Requisition ID: 1616287

EY wavespace is creating innovative AI technology and products that will transform EY and our clients. The successful candidate will be part of a team building innovative AI solutions that rely on AI and ML techniques including but not limited to natural language processing, computer vision, deep learning, and machine learning.

You will work with:

• Explore and try out exciting upcoming libraries, models, technologies to analyze and recommend the best one for the team
• Design and implement scalable ML and DL systems, products, and solutions.
• Collaborate with engineering and DevOps teams to build and deliver systems that can be deployed both in the cloud and on premise, e.g., using Azure, Docker, and Kubernetes.
• Build deep learning-based products on CPUs and GPUs, leveraging latest deep learning and machine learning libraries.
• Develop and evaluate data analytics models, algorithms, systems and solutions using a variety of advanced data science techniques
• Produces complex predictive models and manages the delivery of solutions which can be used to drive measurable client and commercial benefit
• Develops a solid understanding of data structures and business in order to extract and integrate required data sources for analysis

Key requirements

• Excellent programming skills: Experience in languages such as Python
• 1-2 years of relevant experience
• You have experience with both machine learning and building software
• You have experience with databases
• Machine learning domain knowledge—bias-variance tradeoff, exploration/exploitation—and understanding of various model families, including neural net, decision trees, Bayesian models, instance-based learning, association learning, and deep learning algorithms
• Familiarity with Azure cloud ecosystem and OpenAI models
• Experience working with large data sets
• Excellent problem-solving skills
• Strong communication and teamwork
• Familiarity with Financial Services
• Proficiency in English

Our commitment to diversity & inclusion

We are genuinely passionate about inclusion and we support individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.

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