Lead Data Scientist, Risk & Credit Scoring (Unstructured Data)

Plata Card Serbia
Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Plata Card seeks a Lead Data Scientist to leverage neural networks and advanced analytics on unstructured data. The role focuses on building models to enhance credit scoring strategies and optimize data processing. This position requires strong communication and a balance between solution complexity and practicality.

Key Highlights
Lead research and development in data science for risk and credit scoring.
Analyze complex unstructured datasets to extract valuable insights.
Build and optimize advanced machine learning models.
Communicate findings effectively to stakeholders.
Stay updated with cutting-edge data science techniques.
Technical Skills Required
Neural Networks Advanced Data Analysis Machine Learning Algorithms (GBM, MLP, CNN, RNN, Transformer) Mathematical Statistics Probability Theory
Benefits & Perks
Relocation support to Mexico, Cyprus, Spain, or Serbia
Flexible work (office or remote)
Healthcare Coverage
Education Budget (language lessons, professional training, certifications)
Wellness Budget (mental health, fitness)
20 days annual leave
Paid sick leave

Job Description


We are looking for Data Science RnD Lead [Risk]


In your role, you will use your expertise in neural networks and advanced data analysis to explore large datasets. Your focus will be on unstructured data, aiming to extract valuable insights and build models to improve credit scoring strategy.


Challenges that await you:

  • Analyze complex unstructured datasets
  • Stay updated with cutting-edge techniques in data science
  • Build advanced models using complex machine algorithms
  • Optimize processes to enhance data processing efficiency
  • Effectively communicate findings to stakeholders


What makes you a great fit:

  • 3+ years of relevant experience
  • Good knowledge of mathematical statistics and probability theory
  • Deep understanding of machine learning algorithms (GBM, MLP, CNN, RNN, Transformer, etc.)
  • High communication skills
  • Ability to strike a reasonable balance between solution complexity and practical applicability
  • Experience in data analytics competitions and model development experience in banking (preferred)
  • Mathematical or technical education from the following universities: MSU, MIPT, HSE, MSTU, MEPhI, NES (preferred)


Our ways of working:

  • Innovative Spirit: a commitment to creativity and groundbreaking solutions
  • Honest Feedback: valuing open, transparent communication
  • Supportive Team: a strong, collaborative community
  • Celebrating Achievements: recognizing our wins together
  • High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances


Our benefits:

  • Relocation support to one of our hubs — Mexico, Cyprus, Spain, Serbia — with assistance for the employee and their family
  • Flexible work from one of our offices or remote
  • Healthcare Coverage
  • Education Budget: Language lessons, professional training and certifications
  • Wellness Budget: Mental health and fitness activity reimbursements
  • Vacation policy: 20 days of annual leave and paid sick leave


Subscribe our newsletter

New Things Will Always Update Regularly