(Senior) Data Scientist

Job description

Your mission

Machine Learning (ML) is revolutionizing the way of doing business at a global scale. In business lending, Finiata takes the technological forefront by developing proprietary technology that allows us to take accurate decisions in a fully data driven fashion. YOU will contribute to further develop the in-house all-data-things technology by engineering and productizing novel pipelines and ML models.

Note: This position is open from junior to senior level, depending on each candidate’s expertise

You will:
  • Apply data science in areas like credit risk modeling, affordability and pricing, KPI forecasting, automated model evaluation (AutoML), causality and model interpretability (XAI)
  • Develop machine learning expertise beyond basic supervised and unsupervised learning, mentor and be mentored by other team members
  • Prototype and subsequently operationalize innovative, data-intensive, end-to-end machine-learning-based decision engines
  • Demonstrate your leadership skills and manage a Machine Learning based project or product, which you will define through frequent interactions with experienced financial-services professionals
Your profile

  • Highly motivated with excellent communication and strong interpersonal skills
  • M.Sc or PhD in a quantitative field and/or working experience as a Data Scientist or Machine Learning Engineer
  • Proficiency in Python with ability to translate ideas into prototypes and prototypes into production
  • Experience with working on Machine Learning projects to learn from structured data, as well as, deep knowledge on statistics
  • Fluent written and verbal communication in English
As a plus:
  • Deep knowledge of the theory and expertise on the application of Machine Learning
  • PhD in Machine Learning and/or data mining fundamental topics and/or non-trivial applications of ML/DM foundations
  • Top tier academic track on ML/DM conferences (e.g.: KDD, NIPS, ICML, AAAI, ECML/PKDD)
Why us?

  • Get to make an impact on thousands of businesses every day
  • Participate in a self-organized, continuously improving team
  • Work with the best and learn from other competent and brilliant people
  • Be supported to grow and take leadership from day one
  • Get insights and learnings about the financial business and technology
  • Benefit from remote work opportunities, flexible working hours and a Company Holiday on 24th and 31st December
  • Benefit from an office in the centre of Warsaw with great perks (e.g. good coffee, fresh fruit, Multisport membership)
  • Have the option to take German language courses
  • Have the option to bring your best buddy to work. We love dogs!
  • Be paid a competitive salary

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