Data Scientist - Song

Description

Job Summary: Accenture Song is seeking professionals to develop AI-powered data solutions grounded in data science and data engineering—reimagining industries and products from ideation through execution. Key Highlights: 1. Develop data solutions using data science, data engineering, and AI agents. 2. Participate in initiatives involving large language models (LLMs) and generative artificial intelligence. 3. Collaborate with technical and functional teams in a corporate environment. **Accenture Song** accelerates growth and value for our clients. It is where professionals reimagine industries, products, and services—from ideation to execution. We do this through growth, product and experience design; technology platforms; creative, media, and marketing strategy; as well as campaign, content, and channel orchestration. Visit us at: www.accenture.com/song” Responsibilities: * Develop data solutions integrating data science, data engineering, and AI agents, tailored to business use cases. * Use Python for data analysis, data processing, and development of analytical components. * Participate in initiatives related to large language models (LLMs) and generative artificial intelligence. * Build, test, and evolve solutions on Amazon Bedrock. * Work on the client’s integrated data platform, including informational, modeling, AI, and sandbox capabilities. * Explore, prepare, and analyze data to generate insights and support analytical solutions. * Collaborate with technical and functional teams to ensure proper implementation of solutions in a corporate environment. * Ensure quality, traceability, and applicability of developments within a production context. * Conduct exploratory analysis and performance tracking of analytical developments where applicable. Requirements: * 2\-3 years of experience in Data Science, Data Engineering, AI Engineering, Machine Learning, or Advanced Analytics. * University degree in Engineering, Mathematics, Statistics, Computer Science, Physics, or a related field. Additional training in data science, machine learning, or artificial intelligence is preferred. * Prior experience in cloud environments and enterprise data platforms. * Programming languages: strong proficiency in Python for data analysis and data solution development; SQL knowledge for data querying and exploitation is a plus. Front-end development skills in React, Vue, or similar frameworks are also valued. * AI / LLMs: familiarity with or hands-on experience in LLMs and generative AI use cases. Experience with tools such as Claude Code, Codex, or similar is advantageous. * Cloud: knowledge of AWS (Bedrock, S3, SageMaker, etc). * Analytical modeling: experience developing analytical or machine learning solutions applied to business problems is preferred. * Familiarity with agile methodologies is desirable. * Professional English proficiency (B2\-C1\) Soft Skills: * Learning agility: ability to quickly adapt to platforms, processes, and client needs. * Rigor and attention to detail: focus on quality, traceability, and applicability of developments. * Stakeholder collaboration: ability to work effectively with technical and functional teams across the client ecosystem. * Communication: ability to clearly explain analyses, progress, and results. At **Accenture**, a company recognized as a Great Place To Work®, we embrace a hybrid work model that—powered by technology and our physical spaces—enables essential human connection while working with our teams and clients. This connection helps sustain our inclusive and diverse culture and makes us, according to Refinitiv, the world’s most diverse company. Additionally, we offer other **BENEFITS**, including: * Health, life, and accident insurance * Medical services and wellness programs * Flexible compensation program and stock purchase plan * Flexibility programs (flexible hours, personal days, vacation time, etc.) * Individualized learning paths * Sustainability initiatives and Accenture Foundation programs * Employee networks focused on diversity * Other benefits: Bankinter office with special conditions and profit-sharing