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Senior Machine Learning Engineer for a credit scoring project

From Data & Machine Learning department


EUR 4 600 - 6 700

Before Tax (Business Contract)

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Our mission at Netguru is to help entrepreneurs and innovators shape the world through beautiful software. We care about trust, taking ownership, and transparency. As a Certified B Corporation®, we offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback. If you want to work from home and be a full time employee, great! We want to create the right opportunities for you.

  • Required skills: 3+ years in ML, using Python, knowledge of Scikit-learn, Pandas, IPython Notebooks, Weights of Evidence (WoE), SQL, AWS Redshift, English B2+.
  • Nice to have: Survival Analysis (Kaplan Maier, Weibull Distribution), AWS Sage Maker, AWS QuickSight
  • We offer: 100% remote work, flextime & flexplace, dev-friendly processes, long-term collaboration.
We are looking for a Senior Machine Learning Engineer who would like to join one of our key projects within the area of mobility financing, and develop a durable relationship with our client - a startup that develops their platform revolutionizing vehicle financing across countries that have limited or no access to services as such.

Project description:

  • You will join a team of experts, building a large product for millions of users, already existing in 6 countries, with a possibility of expanding to various continents,
  • You will co-create cutting-edge solutions with clients, partners, fin-techs, and other technology leaders,

Apply if you have:

  • 3+ years of experience in Machine Learning, using Python,
  • knowledge and understanding of theoretical concepts behind Machine Learning,
  • experience working with scientific and machine learning libraries (Pandas, Scikit-learn),
  • experience working with IPython Notebooks,
  • familiarity with the Weights of Evidence (WoE) approach,
  • strong knowledge of SQL,
  • experience with AWS (esp. Redshift)
  • knowledge of data structures, object-oriented programming, and software engineering principles,
  • experience working with Agile,
  • the ability to communicate freely in spoken and written English (CEFR B2+).

Nice to have:
  • experience in survival analysis (Kaplan Maier, Weibull Distribution),
  • experience with AWS Sage Maker, AWS QuickSight

What will happen next?

  • You will get an e-mail from our recruitment team with the information about whether your experience matches the requirements.
  • If your profile will match our requirements - we will invite you for hr call.
  • We want to check your practical skills :) You will receive a task to solve within a certain deadline.
  • The next step will be 2 technical interviews (theoretical and practical).
  • For all of those who complete the previous steps – we’ll also invite you for a meeting with a client.

In return, we offer:

  • 100-percent remote work;
  • work with an experienced team and continued the development of your hard and soft skills;
  • dev-friendly processes such as Continuous Integration, Continuous Delivery, Code Review, and bug bashes.

If you need any disability-related adaptation at any step of the recruitment process – simply let the recruiter know! We'd be happy to help.

Got questions? Feel free to contact Aleksandra!


Aleksandra Kabać

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