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Join Intrum and grow by making a difference in a highly international and supportive environment where effort truly counts.
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Intrum is a market leader in credit management services, operating across 24 European countries with 10,000 professionals, setting the standard in debt collection.
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Created in 2017 from the merger of Intrum Justitia and Lindorff, Intrum combines deep expertise and innovation to lead the way to a sound economy.
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The Data Scientist will develop and implement machine learning models to solve complex financial challenges, requiring proficiency in SQL, Python, and financial modeling.
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Work in the AI & Advanced Analytics Global department and collaborate with business stakeholders to solve financial challenges using cutting-edge machine learning solutions.
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Candidates must have a Master's degree in Statistics, Mathematics, Computer Science, or related field, with 3+ years experience in data science, proficiency in SQL and Python, and strong analytical skills.
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Develop machine learning models for financial applications such as fraud detection, credit risk assessment, and customer lifetime value, making a critical societal impact.
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Based in Vilnius, but with HQ in Stockholm, this role offers a cozy office environment and the opportunity to work within a supportive, global team.
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Intrum offers a culture that values effort, supports career growth, and facilitates learning through various learning arenas, ensuring you always advance.
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Become part of a company where everyone is a leader, contributing to a sound economy and supported by motivated, skilled colleagues globally. Apply now!
 

Data Scientist (Data Analyst)

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About the role

At Intrum, you will grow by making a difference. You will do it in a highly international environment and in a supportive culture where effort counts. Are you our new Data Scientist (Data Analyst)?About the Role: We are seeking a skilled Data Scientist to join our AI & Advanced Analytics Global department. You will be responsible for developing and applying machine learning models to solve a variety of complex financial challenges. This role requires a strong foundation in data analysis, machine learning algorithms, and financial modelling. What will you do:

  • Analyze and model financial data using SQL and Python.
  • Develop and implement machine learning models for classification, regression, and optimization problems in finance (e.g., fraud detection, credit risk assessment, CLTV).
  • Evaluate and interpret model performance metrics to ensure robustness and business value.
  • Communicate complex data insights to technical and non-technical audiences, including creating clear visualizations.
  • Collaborate with business stakeholders to identify and solve financial challenges using machine learning. What we’re looking for:
  • Master's degree in Statistics, Mathematics, Computer Science, or a related field (or equivalent experience).
  • 3+ years of experience working as a Data Scientist or similar role.
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Intrum Global Business Services is open for

  • People for
    Other
  • Interested to work in
    Riga
  • And have following skills
    Machine Learning or Python or SQL or Apache Spark or Tensorflow or Data Analyst or Tableau or Analytics, BI or Data Science
  • We are looking to fill a
    Full-time position
  • For talents with seniority
    Mid-level
  • With a capacity of
    40 hours per week
  • And we are happy to pay
    Get the app to see

The story

Leading the way towards a sound economy.
There are

201 – 500

employees in the company

5M to 10M

Company annual revenue

Offices

Our HQ are in Stockholm, but our office in Vilnius is very cozy!
  • Lithuania flagVilnius
    Flexible hours
    Health insurance
    Gym membership
    Team events
    Company retreats
    Free parking
Office image

Markets

Intrum Global Business Services serves clients from around the world.

Intrum Global Business Services is open for

  • People for
    Other
  • Interested to work in
    Riga
  • And have following skills
    Machine Learning or Python or SQL or Apache Spark or Tensorflow or Data Analyst or Tableau or Analytics, BI or Data Science
  • We are looking to fill a
    Full-time position
  • For talents with seniority
    Mid-level
  • With a capacity of
    40 hours per week
  • And we are happy to pay
    Get the app to see