3.708 Empregos para Estagio Machine Learning - Brasil

A Board Academy é um time apaixonado por inovação e transformação.
Somos uma empresa especializada na Formação, Desenvolvimento e Certificação de Conselheiros, criada para revolucionar o modelo tradicional de desenvolvimento de conselheiros. Nossa proposta é disruptiva e, ao mesmo tempo, busca democratizar o acesso às posições nos Conselhos de Empresas.

Acreditamos que a formação profissional é essencial para a disseminação das boas práticas de governança corporativa e pode ser um grande diferencial na geração de valor e no sucesso dos negócios.

 
Missão do Cargo

Buscamos um Deep Learning Engineer para atuar no desenvolvimento de soluções baseadas em inteligência artificial com foco em redes neurais profundas. Essa pessoa será responsável por estruturar, treinar e otimizar modelos de deep learning aplicados às nossas soluções educacionais, operacionais e estratégicas.

Se você tem paixão por IA, gosta de construir soluções escaláveis e quer gerar impacto real com tecnologia de ponta, essa vaga é para você!

 
Responsabilidades e Atribuições

• Desenvolver, treinar e implementar modelos de deep learning aplicados a problemas reais de negócio;
• Trabalhar com dados estruturados e não estruturados (texto, imagem, voz);
• Colaborar com times de produto, dados e negócios para identificar oportunidades de aplicação de IA;
• Monitorar e melhorar a performance de modelos em produção;
• Documentar processos e garantir reprodutibilidade e boas práticas de engenharia de IA;
• Acompanhar avanços da área e propor inovações tecnológicas para o Board AI.

Requisitos:

• Sólida experiência com desenvolvimento de modelos de deep learning (CNN, RNN, Transformers etc.);
• Domínio de bibliotecas como TensorFlow, PyTorch ou similares;
• Experiência prática com tratamento de dados, pré-processamento e pipelines de machine learning;
• Conhecimentos em MLOps, versionamento de modelos e deploy em ambientes de produção;
• Familiaridade com nuvens públicas (AWS, GCP ou Azure) e ferramentas de CI/CD;
• Diferencial: experiência com LLMs (Large Language Models) e NLP.

Sobre a Área

Estamos buscando um(a) Cientista de Dados com sólida experiência em treinamento de arquiteturas baseadas em Transformers. Esta posição combina forte base conceitual em Deep Learning com experiência prática em desenvolvimento de Modelos Fundacionais (from scratch e fine-tuning) comTensorFlow e PyTorch.

Sobre a Área

Estamos buscando um(a) Cientista de Dados com sólida experiência em treinamento de arquiteturas baseadas em Transformers. Esta posição combina forte base conceitual em Deep Learning com experiência prática em desenvolvimento de Modelos Fundacionais (from scratch e fine-tuning) comTensorFlow e PyTorch.

No Seu Dia a Dia

• Projetar, implementar e produtizar modelos de deep learning baseados em Transformers para tarefas multimodais, utilizando bases de dados proprietárias.
• Otimizar modelos para desempenho, escalabilidade e eficiência de inferência.
• Conduzir experimentos, analisar resultados e iterar continuamente para melhorar a performance dos modelos.
• Desenvolver pipelines automatizadas para treinamento, implantação e retreino de modelos.
• Criar framework de avaliação e monitoramento dos modelos em produção.
• Manter-se atualizado com as pesquisas mais recentes em Deep Learning e Transformers.
• Criar pipelines de dados eficientes para ingestão nos modelos de larga escala.
  
  

Esperamos De Você

• Mestrado ou Doutorado em Ciência da Computação, Aprendizado de Máquina, Inteligência Artificial ou áreas relacionadas.
• Sólida compreensão de fundamentos de deep learning, com foco em arquiteturas Transformers: Encoder-only, Decoder-only, Encoder-decoder (ex.: BERT, BART, GPT, ViT).
• Proficiência em TensorFlow e PyTorch.
• Forte habilidade de programação em Python e familiaridade com bibliotecas e ferramentas de ML/DL (ex.: Hugging Face, CUDA).
• Experiência em treinamento de modelos com grandes volumes de dados, ajuste de hiperparâmetros e treinamento distribuído.
• Bom entendimento de pré-processamento de dados, engenharia de atributos e métricas de avaliação.
  
  

Benefícios

• Participação nos Lucros e Resultados (PLR);
• Auxílio Alimentação e Refeição;
• Plano Médico;
• Plano Odontológico;
• Auxílio Creche/Babá;
• Vale Transporte;
• WellHub;
• TotalPass;
• Programa de Apoio Pessoal (EAP);
• Planos por adesão como Previdência Privada e Seguro de Vida;
• Desconto em Farmácia;
• Programa de Nutrição;
• Programa de Gestantes;
• Licença Maternidade e Paternidade Estendida – empresa Cidadã.

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Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to product and engineering teams to help define product direction
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 3+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 2+ year experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 2+ years of hands on experience with Python to build, train, and evaluate models
- 2+ years of technical client engagement experience
- Ability to communicate in a business setting in English
Preferred Qualifications
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning, generative AI, and statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real-world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost-efficiently.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

We’re looking for top architects, system and software engineers capable of using ML, Generative AI, and other techniques to design, evangelize, implement, and fine-tune state-of-the-art solutions for never-before-solved problems.

Key job responsibilities

1. Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges.
2. Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers, and guide them on adoption patterns and paths to production.
3. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
4. Provide customer and market feedback to product and engineering teams to help define product direction.

BASIC QUALIFICATIONS

- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine-tuning, and inference)
- 4+ years of hands-on experience with Python to build, train, and evaluate models
- 4+ years of technical client engagement experience
- Ability to communicate in a business setting in English

PREFERRED QUALIFICATIONS

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

#J-18808-Ljbffr

Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
- Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
- Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to product and engineering teams to help define product direction
A day in the life
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 4+ years of hands on experience with Python to build, train, and evaluate models
- 4+ years of technical client engagement experience
- Ability to communicate in a business setting in English
Preferred Qualifications
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Descripción Empresa

Somos más de 90 mil personas que cada día trabajamos por el firme Propósito - Simplificar y Disfrutar más la Vida. Estamos presentes en 9 países y compuestos por grandes marcas posicionadas de diversas industrias. Falabella Retail, Sodimac, Banco Falabella, Tottus, Mallplaza, Falabella.com, Falabella Inmobiliario. Cada una de éstas nos hace ser quienes somos, y es entre todos, como Un Solo Equipo, que buscamos diariamente reinventarnos y superar las experiencias de nuestros clientes.

Descripción Empresa

Somos más de 90 mil personas que cada día trabajamos por el firme Propósito - Simplificar y Disfrutar más la Vida. Estamos presentes en 9 países y compuestos por grandes marcas posicionadas de diversas industrias. Falabella Retail, Sodimac, Banco Falabella, Tottus, Mallplaza, Falabella.com, Falabella Inmobiliario. Cada una de éstas nos hace ser quienes somos, y es entre todos, como Un Solo Equipo, que buscamos diariamente reinventarnos y superar las experiencias de nuestros clientes.

Si eres trabajador de Falabella, revisa todos los cursos disponibles en la Academia Falabella, que te ayudarán a seguir impulsando tu desarrollo y preparar tu próxima aventura con nosotros!

Funciones Del Cargo

Estamos en búsqueda de un/a Data Science para sumarse a nuestro equipo de BI. La principal misión será resolver preguntas de negocio a través del uso de herramientas que permitan analizar un gran volúmen de datos, transformándolos en información para apoyar la toma de decisiones de negocio.

¿Cuál será tu principal desafío?

• Realizar análisis recurrente de los KPIs relevantes del negocio para identificar patrones, tendencias o desvíos que presenten alguna oportunidad o riesgo para la compañía.
• Estructurar problemáticas de negocio: descomponer el problema de negocio, identificar y proponer análisis para abordar su solución y los datos/ recursos requeridos para su desarrollo.
• Desarrollar los procesos de captura de datos, generación e integración de nuevas fuentes de información (estructuradas y no estructuradas) asociadas a clientes, desde canales online y offline.
• Desarrollar, validar e implementar modelos predictivos para la adquisición, fidelización y retención de clientes, gestionando grandes volúmenes de datos y fuentes.
• Aplicar técnicas de Data Mining, ML y AI.
• Analizar e interpretar el comportamiento de los consumidores, locales, categorías, familias, campañas de marketing entre otras.
• Asistir en la administración de datos, modelado y actividades de integración en el data warehouse, data lake y herramientas de explotación.
• Trabajar en conjunto con equipos de Marketing y Comercial para identificar prioridades y oportunidades de nuevos análisis a desarrollar.
  
  

Requisitos

• Experiencia en ambientes de Google Cloud Platform (GCP), especialmente BigQuery y Cloud Functions
• Habilidades avanzadas en machine learning y estadística aplicada (Python, y librerías de ML)
• Dominio avanzado de SQL y experiencia en análisis de grandes conjuntos de datos.
• Manejo de herramientas de visualización como QlikSense y/o Looker.
• Experiencia en integración y administración de plataformas y servicios de datos en GCP.
• Conocimiento de SalesForce (Deseable)
• Graduado en carreras de Administrador de Empresas, Ingeniería Industrial, Matemática o Estadística.
• Mínimo 3 años mínimo de experiencia en posiciones similares.
  
  

Condiciones Oferta

Descripción proceso de selección:

El proceso de selección se realiza a través de Aira - plataforma de reclutamiento diseñado para mejorar tu experiencia de postulación.

Para Postular Solo Necesitas

• Postular a la oferta
• Revisar tu email
• Ingresar a Aira y contestar las preguntas y/o pruebas solicitadas
  
  

Luego, si vemos que tu perfil se ajusta a lo que estamos buscando, te contactaremos por email (a través de Aira) para seguir a la etapa presencial.

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Job description

Olá, somos Cayena, muito prazer! ️

Somos uma startup que chegou para revolucionar o mercado do Food Service! Simplificamos o setor mais importante do planeta digitalizando o processo da compra de insumos, sem mensalidades, sem taxas escondidas, sem custo de frete e sem dor de cabeça.

Empreendemos pelo propósito de impulsionar negócios que colocam a comida na mesa. Conectamos fornecedores e compradores levando inteligência de dados para um mercado carente de tecnologia e inovação!

SOBRE O TIME DE DADOS

Nosso time de dados é um dos principais responsáveis por construir vantagens competitivas sustentáveis para o marketplace da Cayena. Trabalhamos para transformar grandes volumes de dados públicos e proprietários, em inteligência estratégica para a companhia e garantindo que sejamos capazes de construir modelos avançados de machine learning que sirvam aos principais objetivos estratégicos do negócio.

Na área de Data Science , temos aplicações em algoritmos de pricing, catálogo, mecanismos de busca e crédito. Essas soluções estão embutidas em todos os produtos da Cayena e contribuíram para nos posicionar como o maior marketplace B2B do Brasil.

Os próximos grandes desafios do time de Dados da Cayena consistem em: (1) acelerar o desenvolvimento de sistemas de recomendação; (2) desenvolver um sistema de automação de interações com clientes e fornecedores, tornando o marketplace mais inteligente, eficiente e personalizado.

Main responsibilities

O que você fará?

• Desenvolver modelos de recomendação ou agentes para automação de interações com usuários e suporte, em colaboração com as equipes de produto, engenharia e negócio, visando maximizar o impacto no marketplace;
• Atuar como referência técnica para a equipe de cientistas de dados;
• Acompanhar tendências tecnológicas e propor inovações de alto impacto;
• Definir padrões para experimentação, validação e monitoramento contínuo de modelos de machine learning;
• Aprimorar as boas práticas de desenvolvimento de modelos para aumentar a produtividade da equipe, garantir deploys mais robustos e melhorar a observabilidade.

Requirements and skills

O que esperamos de você:

• Formação superior em Engenharia, Ciência da Computação, Matemática, Estatística ou áreas correlatas;
• Experiência sólida em Machine Learning, NLP, IA generativa e modelos de recomendação;
• Experiência prévia como liderança técnica em equipes de Data Science;
• Proficiência em Python e bibliotecas como TensorFlow, PyTorch, Scikit-learn, entre outras;
• Experiência com Redshift ou bancos de dados relacionais na manipulação de grandes volumes de dados;
• Familiaridade com engenharia de software e boas práticas para implementação de pipelines de ML em produção: testes automatizados, versionamento de modelos, separação de ambientes e monitoramento contínuo;
• Habilidade em experimentação A/B e otimização de métricas de negócio;
• Capacidade de atuar em um ambiente dinâmico de startup, com autonomia e foco em impacto.

Additional information Por que ser um(a) Pepper?

Nossa cultura:

️ Somos empreendedores: Abraçamos a missão e tomamos risco. Temos sede de crescimento e fome de impacto.

Concorde ou discorde, comprometa-se: Missionários abrem mão do consenso em prol da agilidade. Somos unidos e comprometidos, concordando ou não.

Temos fome de resultado: Somos entregadores insaciáveis movidos pelo desejo de transformar ambição em realidade.

Faça-se desnecessário: É papel de todos atrair empreendedores missionários. Contrate-os, treine-os e saia da frente.

Fica ainda melhor!

Se cada #Pepper é único, por que oferecer um pacote de benefícios padrão?

Além do combo de Benefícios Garantidos (benefícios que são comuns a todos), cada Pepper recebe um número de pontos para distribuir entre os Benefícios Flexíveis que quiser e montar um pacote do seu jeito!

Benefícios Garantidos (comum a todos):

️ Elegibilidade ao Programa de Stock Options

Licença maternidade e paternidade estendidas

Auxílio creche

Férias remuneradas

Premiação por indicação

Subsídio para livros da Biblioteca Cayena

? Convênio médico pela Amil

Benefícios Flexíveis (você escolhe o que tiver sentido pra você):

Cartão Caju

️ Gympass

Convênio pet

Convênio odontológico

️ Seguro de vida

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Descrição do trabalho

Work that matters - What you’ll be doing

• Lead the design, development, and deployment of machine learning models to solve high-impact financial problems.
• Collaborate with product managers, engineers, and business stakeholders to define data science use cases and translate them into actionable solutions.
• Analyse large-scale structured and unstructured datasets to extract insights and build predictive models.
• Develop and maintain robust model training workflows.
• Ensure model interpretability, fairness, and compliance with regulatory standards.
• Mentor junior data scientists and contribute to the growth of the data science team.
• Communicate findings and recommendations clearly to both technical and non-technical audiences.
More about you
• Strong problem-solving skills and a passion for using data to drive decisions.
• Excellent communication and collaboration abilities.
• Ability to manage multiple projects and priorities in a fast-paced environment.
• A mindset for continuous learning and innovation.
• Ethical awareness of bias, fairness, and transparency in AI models.

Why this role is important to us

This role is critical to our mission of leveraging data and AI to drive innovation across our services. As a Senior Data Scientist, your expertise will directly influence strategic decisions, improve customer outcomes, and enhance operational efficiency. You will collaborate closely with professionals from diverse backgrounds - including product, engineering, operations, and business strategy - to solve real-world challenges across multiple domains. Your insights will help shape our data science roadmap and deliver measurable value to the organization.

About Experian

A Serasa Experian é a primeira e a maior Datatech do Brasil. Líder em soluções de inteligência para análise de riscos e oportunidades, com foco nas jornadas de crédito, autenticação e prevenção à fraude. Com tecnologia de ponta, inovação e os melhores talentos, transforma a incerteza do risco na melhor decisão, ajudando pessoas a realizarem seus sonhos e empresas de todos os portes e segmentos a prosperarem.

Temos 22.000 pessoas operando em 32 países e a cada dia estamos investindo em novas tecnologias, profissionais talentosos e inovação para ajudar todos os clientes a maximizarem cada oportunidade. Com sede corporativa em Dublin, Irlanda, a Experian está listada na Bolsa de Valores de Londres (EXPN) e compõe o índice FTSE 100.

Experience and Skills

Qualificações

• A Bachelor’s/Master’s/Ph.D. degree in computer science, Statistics, Mathematics, Data Science, or a related field.
• Experience in data science or machine learning, with a strong track record of delivering impactful solutions.
• Proficiency in Python and ML frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.
• Strong understanding of statistical modeling, time series forecasting, supervised and unsupervised learning, and optimization techniques.
• Good understanding of generative AI concepts and principles.
• Intermediate to fluent English proficiency – ability to communicate technical concepts clearly in English is essential.
• Experience working with financial datasets (e.g., credit scoring, fraud detection, risk modeling, pricing, or forecasting).
• Proficiency in SQL and experience with relational and non-relational databases (e.g., PostgreSQL, CosmosDB, MongoDB).
• Experience deploying models into production using Databricks and cloud platforms (AWS, GCP, or Azure).
• Familiarity with MLOps practices, CI/CD pipelines, and model monitoring tools.
• Experience with data visualization tools (e.g., Plotly, Tableau) to communicate insights effectively.

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering. the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

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Company Description

A Serasa Experian é a primeira e a maior Datatech do Brasil. Líder em soluções de inteligência para análise de riscos e oportunidades, com foco nas jornadas de crédito, autenticação e prevenção à fraude. Com tecnologia de ponta, inovação e os melhores talentos, transforma a incerteza do risco na melhor decisão, ajudando pessoas a realizarem seus sonhos e empresas de todos os portes e segmentos a prosperarem.

Company Description

A Serasa Experian é a primeira e a maior Datatech do Brasil. Líder em soluções de inteligência para análise de riscos e oportunidades, com foco nas jornadas de crédito, autenticação e prevenção à fraude. Com tecnologia de ponta, inovação e os melhores talentos, transforma a incerteza do risco na melhor decisão, ajudando pessoas a realizarem seus sonhos e empresas de todos os portes e segmentos a prosperarem.

Temos 22.000 pessoas operando em 32 países e a cada dia estamos investindo em novas tecnologias, profissionais talentosos e inovação para ajudar todos os clientes a maximizarem cada oportunidade. Com sede corporativa em Dublin, Irlanda, a Experian está listada na Bolsa de Valores de Londres (EXPN) e compõe o índice FTSE 100.

Job Description

Descrição do trabalho

Work That Matters - What You’ll Be Doing

• Lead the design, development, and deployment of machine learning models to solve high-impact financial problems.
• Collaborate with product managers, engineers, and business stakeholders to define data science use cases and translate them into actionable solutions.
• Analyse large-scale structured and unstructured datasets to extract insights and build predictive models.
• Develop and maintain robust model training workflows.
• Ensure model interpretability, fairness, and compliance with regulatory standards.
• Mentor junior data scientists and contribute to the growth of the data science team.
• Communicate findings and recommendations clearly to both technical and non-technical audiences.
  
  

More about you

• Strong problem-solving skills and a passion for using data to drive decisions.
• Excellent communication and collaboration abilities.
• Ability to manage multiple projects and priorities in a fast-paced environment.
• A mindset for continuous learning and innovation.
• Ethical awareness of bias, fairness, and transparency in AI models.
  
  

Why this role is important to us

This role is critical to our mission of leveraging data and AI to drive innovation across our services. As a Senior Data Scientist, your expertise will directly influence strategic decisions, improve customer outcomes, and enhance operational efficiency. You will collaborate closely with professionals from diverse backgrounds - including product, engineering, operations, and business strategy - to solve real-world challenges across multiple domains. Your insights will help shape our data science roadmap and deliver measurable value to the organization.

Qualifications

Qualificações

• A Bachelor’s/Master’s/Ph.D. degree in computer science, Statistics, Mathematics, Data Science, or a related field.
• Experience in data science or machine learning, with a strong track record of delivering impactful solutions.
• Proficiency in Python and ML frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.
• Strong understanding of statistical modeling, time series forecasting, supervised and unsupervised learning, and optimization techniques.
• Good understanding of generative AI concepts and principles.
• Intermediate to fluent English proficiency – ability to communicate technical concepts clearly in English is essential.
• Experience working with financial datasets (e.g., credit scoring, fraud detection, risk modeling, pricing, or forecasting).
• Proficiency in SQL and experience with relational and non-relational databases (e.g., PostgreSQL, CosmosDB, MongoDB).
• Experience deploying models into production using Databricks and cloud platforms (AWS, GCP, or Azure).
• Familiarity with MLOps practices, CI/CD pipelines, and model monitoring tools.
• Experience with data visualization tools (e.g., Plotly, Tableau) to communicate insights effectively.
  
  

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering. the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

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