Data Scientist - Advanced Analytics

What are we looking for?

We bet on people eager to learn and oriented toward providing value. It is not necessary to master all technologies from the start: you will have several support programs and training sessions that will help you boost your career and accelerate your growth.

Our ideal team member is adaptable, communicative, and client-oriented, with initiative and energy, capable of working collaboratively in a team and analyzing and synthesizing complex information to deliver valuable solutions in changing environments.

We highly value the following skills:

• Education in Mathematics, Statistics, Engineering, Physics, Computer Science, Data Science, Artificial Intelligence or similar disciplines.
• C1 English, spoken and written.
• Fundamentals of statistics, machine learning, and model evaluation.
• Solid knowledge of Python and standard libraries for analysis, machine learning, and visualization.
• We value proficiency in SQL and the ability to work with structured and unstructured data.
• Interest or experience in generative AI, LLMs, prompt engineering, RAG, embeddings, vector search, or intelligent agents.
• Familiarity with collaborative and development tools such as Git
• Ability to communicate complex results simply, to both technical and business profiles.

• Experience or interest in the following will be positively valued:
  • Cloud platforms such as Azure, AWS, or Google Cloud.
  • Data visualization with Power BI, Tableau.
  • Streamlit, Plotly or interactive libraries.
  • Experience in distributed processing such as Spark, Databricks, Snowflake, or BigQuery.

Imagine yourself participating in the transformation of the leading national and international organizations?

At Deloitte, we are committed to making an impact on society, our clients, and you.

Collaborate with a multidisciplinary team on projects with global impact

Being part of our team means working with leading international companies in their sector on projects that span their entire value chain, combining Advanced Analytics, Machine Learning, Artificial Intelligence and cloud technology with a clear business orientation. We look for people with curiosity, analytical thinking and motivation to build real data-driven solutions, within a collaborative and multidisciplinary environment focused on solving complex challenges and generating tangible impact.

As a Data Scientist, you will participate in high-impact initiatives, transforming data into solutions that provide measurable value. You will collaborate closely with Data Science, Data Engineering, Strategy, and Business teams throughout the entire lifecycle of AI solutions: from identifying business needs to their development, validation, production deployment, and client adoption, ensuring they are useful, explainable, and reliable.

Will you join the rest?

Among the functions you will perform are:

• Co-create data and AI use cases with the business, identifying opportunities where advanced analytics, machine learning, or generative AI can generate real impact.
• Explore, prepare, and enrich data from different sources to build robust datasets, variables, and features that serve as a basis for analytical models and products.
• Develop machine learning and deep learning models to solve prediction, classification, segmentation, recommendation, optimization, forecasting, anomaly detection, or behavior analysis problems.
• Design solutions with generative AI, including use cases with LLMs, semantic search, RAG, embeddings, intelligent assistants, document automation, or task-oriented agents.
• Collaborate on the productionization of models, working with MLOps and LLMOps practices, versioning, traceability, testing, monitoring, automation, and continuous improvement.
• Create visualizations, narratives, and analytical experiences that help technical and business profiles understand complex results in a clear, simple, and actionable way.
• Work directly with clients, understanding their challenges, explaining results, proposing solutions, and supporting the adoption of AI in their processes.
• Stay up to date with new technologies and AI approaches, sharing learnings with the team and contributing to the evolution of our capabilities.