Data Scientist

Náplň práce, právomoci a zodpovednosti:

Artificial intelligence (AI) and data science are a one of major pillars of Arval's strategy. You will contribute to Arval's growth by identifying use cases that bring value to different functions (sales, marketing, operations, finance, risks, etc.) and implementing them with AI methodology. 

What will be Your responsibilities ?

• Understand business needs and identify opportunities for analytics, automation, and machine‑learning solutions
• Analyze, prepare, and explore data using Data Hub and approved data sources
• Extract meaningful insights from internal and external datasets to support operational and strategic decision‑making
• Build predictive models (classification, regression, forecasting) and pattern‑detection models (clustering, dimensionality reduction)
• Develop clean, well‑documented, production‑ready Python code with focus on quality, interpretability, and maintainability
• Ensure model interpretability, monitor performance, detect bias, and validate alignment with business needs
• Collaborate with IT, business stakeholders, and data experts to continuously improve analytical solutions
• Solve business issues using advanced analytics and machine learning techniques
• Contribute to Arval’s data‑driven strategy and follow best practices in data management, data protection, and AI governance
• Stay up to date with emerging Data Science methods and tools
   

  Technical Requirements

  • Python (advanced) – model development, data processing, production‑grade code
  • ETL processing in Dataiku – design and build data pipelines
  • Domino – model development, experimentation, and model management
  • GitLab – version control, documentation, CI/CD workflows
    MS Office (especially Excel) and BI tools – visualization and presentation of insights
  • Compliance with internal standards – AI governance, data protection, model‑risk management
     

    We are looking for candidates with:

    • Engineering degree or an equivalent university degree (Master's level) with a specialization in Data Science, Artificial Intelligence, Mathematics, Applied Statistics
    • Expertise in Machine Learning
    • Proficiency in Python Data/ML libraries focused on data analysis and machine learning
    • Strong analytical skills and attention to details
      Good communication and presentation skills
    • Fluent English

Zamestnanecké výhody, benefity:

Bonus salary /can reach 100% of average monthly salary

Cafeteria.sk benefit program

Meal contribution 8 euro netto of credit for every working day

Multisport Card for active free time - you pay only 14 euro/month

Referral Bonus - 15OO euro

Sick leave compensation 80% from the first day

Bonus holiday

2 sick days per year

Fruit Days – fresh fruits everyday delivered to the office

Life insurance 

Possibility to work from home

Team-buildings, Family day celebrations, Christmas party, Health Awareness day and other social occasions to celebrate the teamwork and Arval company culture

Požiadavky na zamestnanca:

• You hold an engineering degree or an equivalent university degree (Master's level) with a specialization in Data Science, Artificial Intelligence, Mathematics, Applied Statistics.
• You have at least 2 years of experience as a Data Scientist
• You are comfortable with experimentation and prototyping, and you place as much importance on the 'why' as on the 'how'. You know how to share your achievements.
• You have strong expertise in Machine Learning. You are proficient in Python , ETL (Dataiku)
• You have a very good level of English as we work closely with countries, and you will contribute to our international data scientist community.