Data Scientist – Agricultural Credit Focus

Sicredi

Data Scientist enhancing AI and Machine Learning strategies at Sicredi. Collaborating to generate actionable insights for credit and operational efficiency.

Posted 7/3/2026full-timePorto Alegre • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and enhancing Machine Learning and Artificial Intelligence models, with a strong focus on MLOps and data-driven decision-making. Proficient in translating complex data into actionable business insights while collaborating effectively across teams.

Highest-signal resume keywords

Machine LearningArtificial IntelligenceMLOpsPythonData Science

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManipulationPredictive ModelingStatistical AnalysisModel DeploymentData Analysis

Soft Skills

CommunicationCollaboration

Tools & Technologies

Scikit-learnXGBoostTensorFlowPyTorchPandasSQLSpark

Industry Keywords

Credit AnalysisRisk AssessmentSegmentationProduct RecommendationData-Driven Culture

Tech Stack

Tools & technologies

PandasPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact

Develop and enhance Machine Learning and Artificial Intelligence models (supervised and unsupervised)
Explore large volumes of data (structured and unstructured) to generate strategic insights
Build solutions focused on credit analysis, risk assessment, segmentation and product recommendation
Work across the entire data science lifecycle: exploration, preparation, modeling, validation and deployment
Implement and maintain MLOps pipelines, ensuring scalability and continuous model monitoring
Translate business problems into analytical models and data-driven solutions
Collaborate with business and technology teams, acting as a bridge between data and decision-making
Support the dissemination of a data-driven culture throughout the organization.

Requirements

What you’ll need

Bachelor’s degree in Administration, Engineering, Information Systems, Economics, Statistics, Computer Science and/or related fields
Strong experience in Data Science, Machine Learning or related areas
Proficiency in languages such as Python or R
Experience with ML libraries/frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)
Knowledge of data manipulation and analysis (Pandas, SQL, Spark, etc.)
Hands-on experience with model deployment and MLOps
Knowledge of applied statistics and predictive modeling techniques
Ability to translate data into clear, actionable business insights
Good communication skills and ability to work in collaborative environments

Benefits

Comp & perks

Fixed 14th and 15th salaries (extra annual payments)
Profit-sharing/performance bonuses (depending on seniority)
Health and dental plans with no copayment
Wellness programs through Wellhub (formerly Gympass): nutrition, psychology, occupational health, massage, running groups and access to a local gym
Meal and food vouchers with flexible percentage allocation between cards, no copayment
Extended maternity and paternity leave
Childcare or nanny allowance for children up to 6 years and 11 months
Support for children with disabilities, no age limit
Life insurance
Private pension plan up to 8% of salary
Training platform – Sicredi Aprende, offering a variety of courses
40-hour workweek – using a time bank system (flexible hours)
Remote work allowance (except for roles that are 100% on-site)