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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - 12 months - Sao Paulo - **Company:** Global Enterprise Partners - **Location:** Amsterdam, Netherlands - **Experience:** Starter - **Contract:** Temporary contract - **Skills:** Agile Methodology, Artificial Intelligence, Algorithm Design, Amazon Web Services, Data Analysis, Artificial Neural Networks, Microsoft Azure, Big Data, Cloud Computing, Cluster Analysis, Continuous Integration, Information Engineering, Extract Transform Load (ETL), DevOps, Github, R (Programming Language), Python (Programming Language), Machine Learning, Natural Language Processing, Performance Tuning, Rapid Prototyping Process, Tensorflow, SQL Databases, Google Cloud, Pytorch, DevOps Tools - Open-source, Large Language Models, Prompt Engineering, Generative AI, Information Technology, Data Analytics, Bicep, Terraform, Devsecops - **Published:** July 21, 2026 - **Apply:** https://www.globalenterprisepartners.com/en-gb/job/data-scientist---12-months---sao-paulo/4064225 ## About the Role * Experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics. * Strong experience with Python, R, SQL, and modern analytics toolsets. * Experience developing, training, validating, and deploying machine learning models. * Understanding of supervised and unsupervised machine learning techniques including regression, classification, clustering, neural networks, and predictive modelling. * Experience working with cloud-based environments such as Azure, AWS, or Google Cloud. * Knowledge of data engineering concepts, ETL processes, and data modelling principles. * Experience working within Agile environments and cross-functional teams. * Excellent stakeholder management and communication skills. * Passion for innovation, AI technologies, and continuous learning., * Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, or a related field. * Understanding of machine learning concepts, ETL processes, and data modelling. * Exposure to Data Science methodologies and analytics techniques. * Familiarity with cloud computing, DevOps, and CI/CD concepts. * Understanding of Agile delivery methodologies. * Strong communication and problem-solving skills. * Desire to learn and develop within AI, Data Science, and Analytics., * 3+ years of experience in Data Science, Machine Learning, or Artificial Intelligence. * Proficiency with Python, R, and SQL. * Experience delivering end-to-end machine learning projects. * Understanding of TensorFlow, PyTorch, and Generative AI technologies. * Knowledge of cloud platforms and DevSecOps practices. * Experience with rapid prototyping and delivering business-focused AI solutions., * 7+ years of Data Science, Machine Learning, or AI experience. * Strong experience with Generative AI technologies, including LLMs, Prompt Engineering, RAG, and Fine-Tuning. * Experience with DevSecOps tools such as GitHub, Azure DevOps, Terraform, and Bicep. * Strong understanding of cloud-based AI platforms and large-scale data processing. * Proven track record building models that drive measurable business outcomes. * Experience mentoring junior Data Scientists., * 10+ years of experience in Data Science and Advanced Analytics. * Strong background in predictive modelling, simulations, operations research, and algorithm development. * Experience solving complex business and manufacturing challenges using analytics. * Strong stakeholder engagement and business consulting skills. * Ability to mentor and lead Data Science teams., * 12+ years of experience in Data Science, Advanced Analytics, and Predictive Modelling. * Expertise in advanced statistical modelling, operations research, and simulation techniques. * Strong publication record, patents, or recognised industry thought leadership. * Proven ability to drive enterprise-wide analytical transformation. * Extensive experience within manufacturing or industrial environments is highly desirable. * Exceptional communication and executive stakeholder management skills. ## Description * Design, develop, and deploy advanced analytics and machine learning solutions. * Build predictive models and algorithms to solve complex business problems. * Perform large-scale data analysis to generate actionable business insights. * Collaborate with business stakeholders, engineers, architects, and product teams. * Apply statistical techniques and quantitative methodologies to support business decision-making. * Ensure solutions adhere to security, governance, and data privacy requirements. * Support AI-driven innovation across the organisation. * Communicate findings and recommendations to both technical and non-technical audiences., * Support the development of data-driven solutions using traditional Data Science and Generative AI techniques. * Assist with rapid prototyping initiatives and proof-of-concepts. * Work alongside Data Scientists and Engineers to develop analytical solutions. * Apply machine learning, data analysis, and modelling techniques to business problems. * Contribute to project delivery while building technical expertise across AI and Data Science domains., * Deliver machine learning solutions from exploration and modelling through deployment. * Apply AI, Machine Learning, NLP, and Generative AI techniques to solve business challenges. * Collaborate with engineering, product, and business teams. * Support model integration into production environments. * Ensure performance, scalability, and governance standards are met., * Lead end-to-end machine learning and AI initiatives. * Develop innovative Generative AI solutions. * Rapidly prototype new concepts and use cases. * Mentor and coach junior team members. * Drive adoption of advanced analytics and AI solutions across the organisation., * Lead strategic analytics initiatives and advanced modelling projects. * Develop custom algorithms and analytical frameworks. * Deliver insights to senior stakeholders and business leaders. * Drive business optimisation through data-driven recommendations. * Provide technical leadership across Data Science programmes., * Define and drive Data Science strategy across the organisation. * Lead highly complex analytics and AI programmes. * Develop innovative methodologies and research initiatives. * Publish research and contribute to industry-leading practices. * Mentor senior Data Scientists and build organisational capability. ## 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