Data Scientist – Mid-level

BMG

Data Analyst developing and optimizing Machine Learning models for decision-making in Credit and Collection areas. Collaborating on data culture dissemination and innovative AI approaches at Banco Bmg.

Posted 6/9/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

ATS Keywords

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Hard Skills

Machine Learningpredictive modelingstatistical modeling techniquesdata extractiondata processingdata organizationmodel lifecycle managementperformance trackingrecalibrationexploratory analysis

Soft Skills

communication skillsresults-orientedproactiveflexiblestakeholder engagementbusiness insight translationdata and analytics culture promotioninnovative thinkingchallenging the status quo

Tools & Technologies

PythonDatabricksdatabases

Industry Keywords

Credit and Collectionsdecision-makingstructured dataunstructured databusiness insights

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop, train and optimize Machine Learning models to support decision-making in the Credit and Collections areas;
Manage the model lifecycle (monitoring, performance tracking and recalibration);
Conduct exploratory analyses, ad hoc studies and generate business insights;
Identify and incorporate new data sources (structured and unstructured);
Communicate results clearly to stakeholders while maintaining technical rigor;
Promote a data and analytics culture across business areas;
Encourage the use of AI and propose innovative approaches, challenging the status quo.

Requirements

What you’ll need

Experience in developing, implementing and monitoring predictive models;
Proficiency in Python and experience with Databricks;
Experience working with databases for data extraction, processing and organization;
Strong understanding of statistical modeling techniques and Machine Learning;
Good communication skills and the ability to translate analyses into business insights;
Proactive, flexible and strongly results-oriented.

Benefits

Comp & perks

Health plan with no monthly fee and Telemedicine;
Dental plan;
Meal and food allowance;
Life insurance;
Private pension plan;
Competitive annual variable compensation (bonus);
PPR — Profit-Sharing Program (Results Participation Program);
Bicycle parking and changing rooms;
Childcare assistance;
Internet allowance;
Wellness programs;
On-site medical clinic;
Pregnancy support program;
Extended maternity and paternity leave;
Psicologia Viva — Free online therapy sessions;
PAP — Financial, legal and psychological advisory program;
Gympass — Discounts at gyms;
Fresh fruit every day;
Birthday day off;
Flexible dress code;
Hybrid work model.