Junior Data Scientist - EY wavespace Data & AI hub

EY; Madrid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading consulting firm is seeking a candidate for developing innovative AI solutions leveraging machine learning techniques. The role involves designing and implementing scalable systems, collaborating with engineering teams, and building deep learning products. Ideal candidates should have experience in Python programming and machine learning, as well as strong problem-solving and communication skills.

Formación

• 1-2 years of relevant experience in software and machine learning.
• Familiarity with financial services.
• Experience with large datasets.
• Good understanding of deep learning principles.

Responsabilidades

• Explore and evaluate new libraries and technologies.
• Design and implement scalable ML and DL systems.
• Collaborate with engineering and DevOps teams.
• Produce complex predictive models for client benefit.

Conocimientos

Programming in Python

Machine learning experience

Problem-solving skills

Communication and teamwork

Herramientas

Azure

Docker

Kubernetes

Descripción del empleo

Overview

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.

Responsibilities

• Explore and try out 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 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

Qualifications

• 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
• Good understanding in Deep Learning
• 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.