NPLs Data Scientist

2 semanas atrás

Lisboa, Lisboa, Portugal EOS Portugal Tempo inteiro

NPLs Data Scientist:

We are looking for a highly skilled
NPLs Data Scientist
to join our Analytical Team and play a key role in driving measurable business impact. This position focuses on transforming high-quality, trusted data into advanced analytical models and actionable insights that directly improve collection strategies, optimise agent performance, and maximise recovery rates.

This is a
high-impact role
, ideal for someone who thrives in a fast-paced, data-driven environment and is motivated by seeing analytical work translated into real business outcomes.

Key Responsibilities

Advanced Analytics & Decisioning

  • Analyse portfolio behaviour to identify key performance drivers and design advanced segmentation strategies that optimise contact cadence, channel mix, and agent routing
  • Develop, implement, and maintain advanced analytical decision engines to prioritise accounts and dynamically optimise collection strategies
  • Continuously monitor and improve analytical strategies to maximise recovery performance
  • Lead A/B testing and multivariate experiments to measure strategy impact, quantify uplift, and guide rollouts and ongoing optimisation
  • Partner closely with Operations, IT, and Compliance to ensure strategies are correctly implemented, monitored, documented, and governed throughout their lifecycle
  • Document analytical methodologies, insights, and best practices, contributing to a centralised knowledge base that supports organisational learning

Data Quality & Governance

  • Perform data validation and quality assessments across collections, legal, payments, and forecasting datasets
  • Design and implement data quality controls for critical data elements, promoting automation where possible
  • Define, document, and enforce data quality rules, including data definitions, dictionaries, and lineage documentation to ensure transparency, consistency, and auditability.

Must-Have Requirements

  • Bachelor's or Master's degree in Data Science, Statistics, Economics, Finance, or a related field
  • Strong background in advanced analytics, including segmentation, optimisation, and predictive modelling
  • Strong problem-solving and critical-thinking skills, with a business-oriented mindset
  • Proficiency in
    Excel
    and
    SQL
  • Advanced English communication skills
  • Highly motivated, open-minded, and a strong team player.

Nice-to-Have

  • Experience with
    Python
    or similar analytical tools
  • Exposure to decision engines, analytical models, or rule-based decision logic
  • Experience in collections, credit risk, or NPL environments (preferred but not mandatory)

Successful together

EOS Portugal, founded in 2022, is a subsidiary of the EOS Group, an international group present in 27 countries and one of the world leaders in the field of acquisition and management of distressed assets. Joining us means becoming part of a dynamic, growing and forward-looking company.

Benefits:

International and innovative working environment

Permanent training

Networking

Health insurance

Work-life balance

Possibility to work hybrid or 37-hours week.

Ready to accept this challenge?

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