Data & AI Consultant – Graduate – São Paulo, Brazil

2 semanas atrás


São Paulo, Brasil Thorogood Tempo inteiro

Join to apply for the Data & AI Consultant – Graduate – São Paulo, Brazil role at Thorogood Thorogood is an independent, specialized, Data & AI consulting firm that works with some of the biggest and best-known companies around the world. We have offices in London, Philadelphia, Boston, Singapore, São Paulo, and Bangalore, and we work as a global unit to service blue chip customers drawing from data-rich sectors such as consumer goods, pharmaceuticals, insurance, and financial services sectors. Together, we compete on the basis of our specialism, our people, high quality, and assured delivery. We help our customers leverage the latest technologies to make timely, data-driven business decisions. Our multi-skilled teams understand the critical interplay of data engineering, data science, and data visualization. We work across these areas to create business-focused, end-to-end technology solutions robust enough to meet enterprise needs. We recognize the importance of environmental sustainability, both in how we work and in the solutions we build for our clients. Our services span strategy, implementation, advanced analytics services, user empowerment, and support. Additional information about us, our people, what we do, and some of perspectives can be found on our website here: About the Position Overview: Our team members are expected to have a strong interest in business. Understanding our clients’ organizations and industries is key to identifying areas of opportunity for us to help. Similarly, our people must have excellent listening, writing, and presenting skills, alongside the aptitude and motivation to master multiple data-focused technologies in a fast-moving field. This combination of business, people, and technical skills is essential. Our Brazil and US entities are managed together under one Thorogood Americas in support of development of our business in the region. Further, we work with colleagues across the US, UK, India, Singapore, and Brazil, and with global customers, to provide effective solutions. The ability to work collaboratively and effectively as part of a distributed team is imperative. Comprehensive training: During your first months at Thorogood, experienced consultants will introduce you to the technologies we work with, the industries we serve, and the ways in which we develop our business. Crucially, we will share how we live our values. When you’ve finished, we’ll plan to integrate you into both internal and client project initiatives. Building your core technology skills: We’re the kind of people who learn best by doing. You’ll be working on a team locked onto business value for the customer to develop fast, effective, and high-quality technical solutions. Working with top clients: Thorogood works with some of the biggest and best-known companies in the world. You’ll be a part of client interactions, sometimes leading them, to make sure we’re keeping our projects on track and delivering value to our customers. Developing relationships: We consider ourselves trusted advisors for our clients. We earn this trust through listening carefully, sharing the expertise we have acquired, and helping to progress the objectives within their organizations. Shaping future projects: We are always listening to customers to understand their objectives and needs and working with our consultants to share proposals on how we can help. Working as part of a supportive project team: You’ll be working from our offices, with occasional travel internally or externally to client sites. Your project teams will comprise consultants across many levels of experience, working together daily to support one another along the way. Becoming an expert, yourself: Our subject matter experts are not necessarily the most tenured people at Thorogood. In the rapidly changing world of Data & AI, we look to all levels of experience to gain expertise in new technologies and analytical techniques. Additional Responsibilities Help to grow our business: Interact with current and prospective clients, listen to their needs, and drive business development activities and discussions. Together, we’ll consider the business objectives in conjunction with the technical possibilities in order to understand the opportunities for their organizations. Deliver educationally focused marketing events: Prepare and present informational events for contacts at prospective and current clients. Develop our consultancy: Contribute to recruiting, training, and managing our people. Benefits Very competitive salary and compensation program Company-sponsored health coverage Incentive programs Opportunities for national and international travel Focus on work-life balance Location and Timing This position is based in our São Paulo office. Our consultants are currently working in a hybrid model and are expected to work in São Paulo-SP, Brazil. The expected start date for this position is January 2026 or July 2026, depending on candidate start date availability. About You Fluency in written and spoken English and Portuguese Strong interest in business, people, and technology Strong academic record in a related discipline, including engineering, computer science, mathematics, statistics, business, management, or another business and quantitative-focused field Bachelor’s or Master’s degree with graduation between November 2024 and June 2026 Candidates must demonstrate effectiveness in: Working individually and as part of project teams Maintaining responsibility and accountability for quality and work delivery Client focus and relationship management Time management and priority setting Data awareness and business interest Learning new technologies This is an entry-level position; no prior full-time employment experience is required. Please do highlight if you have studied or worked with: Cloud Data & AI technology platforms, e.g., Amazon Web Services, Microsoft Azure, or Google Cloud Platform SQL, Python, R, Scala, Spark, or any other programming or statistical programming languages and frameworks Applied mathematics, statistics, probability, machine learning, or artificial intelligence Structured, semi-structured, and unstructured data storage, transformation, or analysis How to Apply All stages of the recruitment process will be held in English. Your application must include both your résumé and a short video describing your interest and ability to succeed in this position, provided entirely in English. Please submit your application here: #J-18808-Ljbffr



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