Junior Data Scientist analyzing client data and developing predictive models for financial solutions at MAG. Collaborating on data analysis for strategic decisions and automating processes using Python.
Responsibilities
Analyze client and prospect portfolio data, identifying patterns and segmentations across different profiles.
Develop and implement predictive models based on behaviors recorded in systems.
Clean and structure internal and external data, transforming information into knowledge to support decision-making.
Conduct statistical studies and advanced data analyses to generate hypotheses that contribute to customer loyalty, retention, and acquisition.
Develop and implement statistical models and algorithms based on opportunities identified in the data.
Automate processes and analyses using Python.
Prepare periodic qualitative and quantitative reports, presenting results clearly and concisely to support strategic decisions.
Create presentations that effectively communicate model results and analytical findings.
Requirements
Bachelor's degree in Statistics, Economics, Mathematics, Engineering, or a related field.
Proficiency in SQL and either R or Python.
Experience with Power BI.
Advanced Excel skills.
Previous experience in data analysis.
Experience with Databricks.
Experience in the insurance market.
Proficiency in English.
Benefits
Transportation allowance
Meal voucher (no payroll deduction and maintained during vacation)
Food allowance (no payroll deduction, maintained during vacation, plus an extra balance in December)
Health insurance
Dental plan
Childcare assistance
Private pension plan
Funeral assistance (extends to dependents and parents)
Performance-based bonus (PPR)
Life insurance
Gympass
Psychological, financial, and legal assistance for you and your dependents
Medical and nutritional care
Happy Day — one day off during your birthday month
Corporate university (training and development programs)
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