Data Scientist - 12 months - Sao Paulo

• 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.

• 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.

Global Enterprise Partners is currently looking for experienced Data Scientists with strong expertise in Machine Learning, Advanced Analytics, and Generative AI** for a large-scale digital transformation programme.

Our client is investing heavily in AI-driven innovation and advanced analytics capabilities and is looking for