Data Scientist Junior- EY wavespace Data & AI hub

Ernst & Young Advisory Services Sdn Bhd; Comunidad Valenciana; Presencial; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

An innovative firm is seeking a Junior Data Scientist to join their dynamic team at the EY wavespace Data & AI hub. In this exciting role, you will leverage your programming skills in Python and your knowledge of machine learning to design and implement scalable systems and solutions. You will collaborate with engineering and DevOps teams to build AI-driven products that transform business operations. With a commitment to diversity and inclusion, this opportunity offers a chance to work with cutting-edge technologies and contribute to impactful projects. If you're passionate about data science and eager to make a difference, this role is perfect for you.

Formación

• 1-2 years of experience in data science and machine learning.
• Excellent programming skills in Python and familiarity with databases.

Responsabilidades

• Design and implement scalable ML and DL systems and products.
• Collaborate with teams to deliver systems for cloud and on-premise deployment.

Conocimientos

Python

Problem-solving

Communication

Teamwork

Machine Learning

Data Analysis

Educación

Bachelor's Degree in a relevant field

Herramientas

Azure

Docker

Kubernetes

Descripción del empleo

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Data Scientist Junior - EY wavespace Data & AI hub

Location: Madrid

Other locations: Primary Location Only

Date: Mar 20, 2025

Requisition ID: 1470429

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.
• Produce complex predictive models and manage the delivery of solutions which can be used to drive measurable client and commercial benefit.
• Develop 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.