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Pedro Scharth RibeiroPS

Pedro Scharth Ribeiro

Experienced Lead Data Scientist and Economist

£518/day
London, GB
8-15 years

Average response time: 1 hour

About Pedro

I am a people-driven nerd eager to make great new things happen who spent the last 14 years torturing data for a living - and for fun! :)

33yo Lead Data Scientist and Economist with 13+ years of experience with Data and Modeling and 3+ years leading Data Science & Analytics projects and multidisciplinary teams, with a wide range of diverse work and academic experience, from Agile Project Management and BizDev to Cutting-edge Research and Data Engineering.

By 2022, it means I've been venturing the last 7 years on R, Python and SQL for Data Science and Machine Learning and, before that, 7 years of Excel/VBA, Stata, SAS, SPSS and ArcGIS and EDA and Econometrics. Overall, 10+ years in Applied Research assisting 15+ PhD Scholars and associate researchers.

As an Economist, I am very fond of simplicity, interpretability and causal inference, being strongly business-oriented, adopting a Lean development approach to DS/ML/AI focused on delivering clear and tangible value to my business clients. Experience in several fields (credit, fraud, macro and
microeconomics, corporate and public finance, oil & gas, education, healthcare, environmental, regulatory, legal, etc.) and industries (tech startups, banking, consulting, accounting, applied research, government and nonprofits).

The last few years, I’ve got a crush on working together with my business clients, developing my teammates and learning with all of them. My passion for solving complex shared challenges has been the main drive of my career.

Reach me out for a coffee :)
  • Portuguese

    Native or bilingual

  • English

    Fluent

Can work on-site
London (up to 50km)

Experience

  • Oikos AI
    Data Science Specialist
    November 2022 - Today (3 years and 7 months)
    Oikos provides R&D services at the intersection of Economics and Analytics.
    -Innovation Strategy
    -Model Risk & Compliance
    -Responsible AI and AI Governance
    -Lean and Agile Methodologies for Data Science and Analytics
    -Experimentation and Causal Inference
    -Economics-based Credit Risk modeling
  • C6 Bank
    Lead Data Scientist
    January 2022 - August 2022 (7 months)
    Managing the Data Science team for Credit Risk & Anti-Fraud. Projects:
    -Fraud for payroll loans
    -Credit score for auto financing
    -Score for death risk
    -Credit score for payroll loans
    -Credit score for low-income credit line
    -Fraud score for KYC/AML and stooge accounts
    -Facematch Departments as Clients:
    -Credit
    -Antifraud
    -HR
    -Comercial Planning
    -Operations C6 Stack: GCP, BigQuery, Jupyter, BitBucket, Apigee, Ansible, Terraform, Jira, DataStudio.
  • Banco Next
    Lead Data Scientist
    September 2020 - January 2022 (1 year and 4 months)
    Third-party, Semantix. Managing a team of 4 Data Scientists and Analysts at the Credit Risk Department. Data Science and MLOps for Credit Risk & Portfolio. Responsabilities:
    -New Credit Engine - Analytical design FICO Blaze + Hadoop/Databricks pipelines + External APIs
    -Process automation for regular policies and pre-approved

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Education

  • Master of Science
    FGV
    Master of Science - MS, Applied Mathematics
  • Master of Business Administration
    USP
    Master of Business Administration

Skill set (27)

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