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(Senior) Data Scientist


2 weeks ago

Job type: Full-time

Remote (Europe: selected countries RO/IT/PL/PT/DE)

Hiring from: Europe: selected countries RO/IT/PL/PT/DE

Category: Data

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 fully remote as long as you are legally based in Germany, Poland, Portugal, Italy and Romania. You may be required to travel for business purposes (e.g.: participation in team building activities, professional workshops) up to 10% of the time.

  • Apply data science in areas like credit risk modeling, affordability and pricing, KPI forecasting,  automated model evaluation (AutoML), causality and model interpretability (XAI)
  • Define the new state-of-the-art for machine learning engineering in the financial services for SMEs, going beyond the established status quo;
  • 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, following the latest best practices on MLOps
  • 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


  • 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



  • 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
  • Solid Python and software engineering skills, including best practices like CI/CD and Git
  • Top tier academic track on ML/DM conferences (e.g.: KDD, NeurIPS, ICML, AAAI, ECML/PKDD)
  • Proven experience in contributing to machine learning engineering teams in industry (2+ yrs.)
  • Experience on MLOps in modern cloud systems (preferentially, AWS)
  • Experience with Agile philosophies (e.g.: Scrum, Scrumban, Kanban, XP) and project management tools (e.g.: JIRA) *


* List of technologies/methodologies is for illustrative purposes. You are not expected to have experience in each single one of these technologies/methodologies. We don’t believe in super-heroes but rather in super-teams 🙂

  • Culture of trust, constructive feedback and self-organization, agile mindset, regular face-to-face team building events and regular knowledge sharing (E.g.: through tech talks , including invited keynotes as well)
  • Be paid a high competitive compensation (at Central European standards) that recognizes your talent – without excuses, vouchers or other shortcuts. Just a fair salary for YOU
  • Get to make a real impact on thousands of small businesses every day, contributing for more equal and inclusive economy around the globe
  • Work with the best and learn from other competent and brilliant people
  • Get access to our Internal Tech Academy – where the company invests on your continuous training and professional growth (individual growth plan, internal top-flight coaches, paid conferences/courses/learning materials, dedicated working time for learning purposes)
  • Be supported to grow and take leadership from day one
  • Enjoy 24 days of paid holidays
  • Benefit from flexible working hours and additional Company Holidays on 24th and 31st December
  • Possibility of participating in our company equity program (senior level-above)



Finiata is a technology provider that enables small businesses to focus on what matters most: their business. As a data-first organisation, we wake up everyday to challenge the established practices in the B2B Fintech landscape. We do it by building cutting-edge AI technology in-house that enables us to personalise profitable lending offers at scale and in real-time. 

Our direct-to-market Finiata app enables businesses to have working-capital approved in less than 7 minutes. Our lending-as-a-service platform allows online marketplaces, payment providers and any other product company focused on solving small business’ needs  to underwrite customers and solve the working-capital problem with little-to-no technological background or lending expertise. Ultimately, we strongly believe in solving our customers’ challenges regardless of their geographical footprint, business model, product channels or industrial vertical through extreme data-driven customer centricity.

Finiata was founded in 2016 and is funded by top European investors. Our team is filled with curious people who want to learn while having fun and consists of more than 50+ talents from 20+ nations located in three offices in Germany and Poland, Ukraine, as well as globally (remote). We appreciate the power of diversity and share a passion for product development, technology and creating exceptional user experiences that have a real impact on our customers’ lives. Join a fast-growing company of smart and ambitious people to support more than 1 million small businesses over the next 5 years!

Before you apply, please check if any restrictions apply in terms of time zone or country.

This job has a geo-restriction in place:Europe: selected countries RO/IT/PL/PT/DE.

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