PhD candidate specializing in Data Science & Machine Learning at BMW Group, focusing on innovative solutions for electric vehicle charging infrastructure.
About the role
- Data Scientist responsible for developing and implementing credit recovery statistical models at Sicredi. Collaborative role requiring data analysis and interaction with multiple teams.
Responsibilities
- Develop credit recovery models, considering the various customer segments, strategies and products of Sicredi;
- Implement, together with the technology team, the models developed by the credit recovery team;
- Review, recalculate and calibrate models when appropriate;
- Produce studies and propose new initiatives on credit recovery topics, understanding members’ profiles, products and stages of the credit cycle;
- Work closely with different product teams, supporting analysis and providing new data-driven insights;
- Interact with the various roles in the data process (analysts, engineers, data scientists and business analysts);
- Maintain the necessary documentation for your deliverables;
- Continuously evolve and expand technical skills.
Requirements
- Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Physics, Accounting and Actuarial Sciences, Engineering, Economics or related areas;
- Experience with statistical modeling applied to the credit market;
- Strong writing, summarization and communication skills;
- Experience with programming languages and tools such as Python, Spark, SQL and SAS;
- Hands-on experience in data analysis, monitoring KPIs and conducting ad-hoc studies;
- Knowledge and practical experience in the credit market;
- Intermediate English is desirable.
Benefits
- 14th and 15th fixed salaries;
- Profit-sharing / results-based participation (depending on seniority);
- Health and dental insurance with no copayment;
- Wellness programs with Wellhub (formerly Gympass), nutrition, psychology, occupational health, massage, running groups and local gym access;
- Meal and food vouchers – flexible percentage allocation between VA/VR cards, with 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, with no age limit;
- Life insurance;
- Private pension plan up to 7% of salary;
- Training platform – Sicredi Aprende, with a variety of courses;
- 40-hour workweek – using a time bank system;
- Remote work allowance (except for positions that are 100% on-site).
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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