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  1. ML Analyst

ML Analyst

DOVALUE GREECE
Athens , Greece
11 days ago
Full Time
Hybrid
Mid-Level
0

Job Skills

  • Machine Learning
  • NoSQL
  • Python
  • SQL

Basic Information

The doValue Group is the main activity operator in Southern Europe for the management of credit assets and real estate arising from non-performing loans, with over 20 years of experience and approximately €140 billion worth of assets under management.

We are looking for an ML Analyst to join our team and share our values to work as a Team Together in interesting projects.

Responsibilities

What will your typical day to day look like? You will:

  • Conduct data mining, preprocessing, and validation for structured and unstructured financial datasets.
  • Enhance data collection procedures, ensuring relevance for developing robust analytic systems.
  • Develop predictive systems using cutting-edge machine learning algorithms.
  • Present analytical results clearly to non-technical stakeholders.
  • Propose strategic solutions to address business challenges.
  • Collaborate with cross-functional teams to build AI-driven solutions for financial services.

Benefits

  • Competitive remuneration package
  • Hybrid working environment
  • Private health insurance
  • Pension plan 
  • Yearly bonus based on performance
  • Childcare expences
  • Access to fitness facilities

Basic Requirements

  • Minimum 3 years of experience in relevant fields of MIS / data science. Consulting and banking experience is preferred
  • University degree in Computer Science, Engineering, Science, Economics or related discipline. Master’s Degree will be considered as an asset
  • Proficiency in machine learning techniques and algorithms
  • Strong coding skills in Python, R, or other relevant languages for data manipulation, analysis, and model development.
  • Mastery of data analysis libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn) to extract insights from financial datasets.
  • Experience with SQL or NoSQL databases
  • Excellent written and verbal communication skills both in Greek and in English
  • Advanced MS Excel and PowerPoint skills and knowledge of MS Office
  • Efficient data retrieval and storage.
  • Ability to dissect complex financial data and extract meaningful insights to drive informed decisions.