Taro Logo

Senior Data Scientist - Machine Learning & AI

Accenture is a global professional services company leading in digital, cloud and security solutions, operating in more than 120 countries with over 738,000 employees.
Recife, State of Pernambuco, BrazilCampina Grande, State of Paraíba, BrazilFortaleza - Ceará, Brazil
Machine Learning
Senior Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS
This job posting may no longer be active. You may be interested in these related jobs instead:

Description For Senior Data Scientist - Machine Learning & AI

Accenture is seeking a Senior Data Scientist with solid experience in Machine Learning, Artificial Intelligence (AI), and analytical infrastructure to work with predictive models and advanced solutions in NLP. As a global leader in professional services with over 738,000 employees across 120 countries, we combine unmatched experience and specialized skills across 40+ industries.

The role involves working with large volumes of data, creating scalable pipelines, and operating in cloud environments (GCP, Azure, BigQuery, Databricks). You'll be part of a team that drives innovation and delivers transformative solutions for global clients using cutting-edge technologies in cloud, security, data, AI, digital, Industry X, enterprise platforms, and intelligent automation.

Key responsibilities include developing predictive models, building ML and AI solutions, working with NLP for document classification and RAG models, and creating scalable analytical pipelines. You'll be using advanced tools and technologies like Python, SQL, Databricks, and various cloud platforms.

The ideal candidate should have a strong background in statistical modeling and Machine Learning, advanced Python programming skills, and experience with large-scale data environments. Knowledge of MLOps, pipeline orchestration, and cloud platforms is essential. Experience with embeddings, large language models (LLMs), and regulated environments like banking, healthcare, or telecom is a plus.

We offer comprehensive benefits including fully subsidized medical insurance, dental coverage, meal allowances, life insurance, private pension, and more. Join us to work at the heart of change and be part of a team that delivers value through technology and human ingenuity.

Last updated a month ago

Responsibilities For Senior Data Scientist - Machine Learning & AI

  • Develop and apply predictive models (regression, classification, time series)
  • Build Machine Learning and AI solutions including decision trees, XGBoost, neural networks and embeddings
  • Work with NLP for text processing, document classification and RAG models
  • Create scalable analytical pipelines using Databricks, Spark and Vertex AI Pipelines
  • Monitor and revalidate production models to ensure performance and quality
  • Handle and analyze large volumes of data using advanced SQL and Python
  • Work with cloud infrastructure like GCP, Azure, BigQuery and Databricks

Requirements For Senior Data Scientist - Machine Learning & AI

Python
Kubernetes
  • Degree completed or in progress in Information Technology or related areas
  • Solid experience in statistical modeling and Machine Learning
  • Advanced mastery of Python (pandas, scikit-learn, PySpark, TensorFlow, etc.)
  • Advanced knowledge of SQL
  • Practical experience with large-scale data and distributed environments
  • Knowledge in MLOps and pipeline orchestration
  • Experience with cloud environments, preferably GCP, Azure or similar

Benefits For Senior Data Scientist - Machine Learning & AI

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
  • Medical Insurance - 100% subsidized by the company (holder and dependents)
  • Dental Insurance
  • Meal Allowance or Food Allowance without discount
  • Life Insurance
  • Private Pension
  • Gympass
  • Company stock purchase option with discount
  • Pharmacy Discount
  • Daycare Assistance
  • Language school partnership
  • Extended Maternity and Paternity Leave
  • Profit Sharing Program

Interested in this job?