or apply directly on Inter Carreiras's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 15 days Inter Carreiras's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Inter Carreiras's roles list one
- Ghost-job risk at Inter Carreiras
- high 78 stale, 18 reposted of 144 open
- Hiring momentum
- 271 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Inter Carreiras's own greenhouse board since 2026-08-03. Full hiring picture for Inter Carreiras.
About this role
As a Data Science Coordinator at Inter, you will lead a team of data scientists in developing, validating, and monitoring predictive models related to credit and collections. Your role involves interacting with business, technology, and risk management areas to prioritize projects, ensuring the quality and relevance of models, and mentoring team members while promoting the company culture. You will also be responsible for maintaining model performance and integrating state-of-the-art techniques into your team's workflow.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Inter Carreiras as an employer.
What you need
- Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or related fields.
- Experience in coordinating or leading data science teams with technical guidance and people development skills.
- Solid background in predictive modeling: supervised and unsupervised machine learning and statistical modeling (logistic regression, trees, gradient boosting, and equivalents).
- Proficiency in Python and the data science ecosystem (scikit-learn, pandas, numpy, and similar).
- Proficiency in SQL and experience with large data volumes.
- Ability to communicate technical results to non-technical audiences clearly and accurately.
Nice to have
- Experience in the financial sector, especially in digital banks or fintechs.
- Experience with credit risk models (granting or collections) and/or Internal Ratings-Based for calculating PDD (IFRS 9 / CMN 4966).
- Experience with unstructured data, embeddings, LLMs, or Foundation Models applied to business problems.
- Knowledge of MLOps practices (MLflow, Airflow, or similar).
- Familiarity with cloud environments (AWS, GCP, or Azure).
What you get
- Vale-alimentação and Vale-refeição
- Health and dental insurance
- Life insurance
- Birthday Day Off
- Baby On Board and Breastfeeding Room
- Extended parental leave
Worth weighing
- No salary listed
- The role involves a significant leadership component, which may require strong interpersonal skills and adaptability.
- The position requires staying updated with the latest trends, which could mean a fast-paced environment.
- The emphasis on mentoring and cultural promotion suggests a focus on team dynamics and company values.
Summarised from Inter Carreiras's posting. Read the full original.
Listed by Inter Carreiras on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
More roles at Inter Carreiras
- INTERN (CREDIT POLICY)Belo Horizonte, MG
- TECH OPS ANALYST II (BH)Belo Horizonte, MG
- RISK ANALYST IIIBelo Horizonte, MG
- UX UI ANALYST SENIORBelo Horizonte, MG
- CUSTOMER ADVISOR ANALYST II - ENTERPRISE PJBelo Horizonte, MG
- DATA ENGINEER IIIBelo Horizonte, MG; Curitiba, PR; Recife, PE; São Paulo, SP
- INTERNSão Paulo, SP
- ONBOARDING & EMPLOYEE EXPERIENCE ANALYST IBelo Horizonte, MG