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(Senior) Data Scientist

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Denmark
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
(Senior) Data Scientist (Machine Learning/Fintech): Designing, deploying, and operating machine learning and statistical models for fraud detection, transaction monitoring, loan risk assessment, customer risk scoring, and growth with an accent on production ML, experimentation frameworks, and feature engineering. Focus on building reliable evaluation benchmarks, translating technical insights into business decisions, and applying current ML and GenAI advances in regulated financial services.

Location: Aarhus, Denmark; four days per week in the office.

Company

hirify.global is a fully licensed Nordic digital bank building cloud-native, real-time financial services with AI for customers across Denmark, Sweden, and Norway.

What you will do

  • Design, build, and deploy machine learning and statistical models for fraud detection, transaction monitoring, loan risk assessment, customer risk scoring, and sales and lead generation.
  • Build and operate experimentation and evaluation frameworks using MLflow and Metaflow.
  • Develop strong test sets and benchmarks across machine learning projects.
  • Perform data analysis and feature engineering to improve model performance.
  • Partner with data engineers, analysts, and business stakeholders to define requirements and turn insights into decisions.
  • Document models, methodologies, and results, while incorporating current ML and GenAI advances.

Requirements

  • Experience developing and deploying machine learning models in production.
  • Proficiency in Python and relevant machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
  • Experience with cloud-based ML platforms such as AWS SageMaker or Kubeflow.
  • Strong knowledge of machine learning, statistical modeling, and data analysis.
  • Strong problem-solving and communication skills, including the ability to translate technical concepts into business insights.
  • Availability to work from the Aarhus office four days per week.

Nice to have

  • Experience in financial services or another regulated industry.

Culture & Benefits

  • Collaborative office-based working environment.
  • State-of-the-art computer and peripheral equipment.
  • Pension and health insurance.
  • Enhanced parental leave.
  • Employment may require a criminal record check depending on local regulations and is conditional on not being registered in RKI.

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