Lead Data Scientist

intrum; Stockholms kommun; Hybrid; SEK 900,000 - 1,200,000; Full time

Job summary

Intrum is seeking a Lead Data Scientist in Stockholm (Sickla) to apply financial analysis, statistics and machine learning to meaningful business challenges. You will collaborate with business, operations, finance, technology, risk and compliance to turn complex analysis into actionable recommendations.

You will lead model development, segmentation and forecasting efforts, ensuring robust validation and clear communication of results.

Qualifications

• It's essential to have experience developing statistical or machine-learning models.
• Strong analytical and problem-solving skills are required.
• Good working knowledge of Python and SQL, or equivalent tools.
• Experience analysing financial, customer or behavioural data.
• Ability to connect analytical results to business decisions.
• Experience in credit, banking, payments or portfolio analysis is valuable.

Responsibilities

• Develop models that predict customer behaviour and financial outcomes.
• Create customer and case segments that support more relevant treatment strategies.
• Analyse payment patterns, recovery trends and portfolio performance.
• Build forecasts that support planning and investment decisions.
• Explain findings, assumptions and limitations to technical and non-technical audiences.
• Document your work and contribute to responsible use of data and AI.

Skills

Python

SQL

Data analysis

Machine learning

Statistics

Education

University degree in quantitative field

Tools

Databricks

Azure

Model deployment

Job description

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 Lead Data Scientist?

As a market-leading credit management company, Intrum has broad competence in debt collection services and we do business in 20 countries in Europe. We have more than 10,000 experienced employees in our group.

Our business is about helping others. Helping indebted individuals to get out of difficult situations. Helping businesses get paid so they can grow, hire and prosper. Which in turn is positive for the entire economy. You become an essential part of this circle with us, which gives your job at Intrum a deeper meaning. Regardless of your role or title .

Being at the forefront is everyone's job. As the market leader, it is up to us to be at the forefront. Shaping the industry. Setting new standards. And wherever in the world your Intrum career path takes you, whatever role you play, you will contribute to growth, innovation and impact that makes a real difference.

To have the opportunity to grow. In our organization there are many opportunities to advance, specialize and rotate. Or even try your wings abroad. It's up to you to make it happen. The fact that our business is about helping others - individuals and companies, means that your work also develops on a more personal level. Simply put, you will grow by making a difference.

The role

We are looking for a Lead Data Scientist who is skilled at applying financial analysis, statistics and machine learning to meaningful business challenges. Your work may include predicting payment behaviour, grouping customers based on their needs and behaviour, estimating future recoveries and supporting the evaluation of debt portfolios. You will work closely with colleagues from business, operations, finance, technology, risk and compliance. and turning complex analysis into recommendations that people can understand and use.

The role will report to Head of Data, AI, & Automation

Location for this position is Stockholm (Sickla)

Hybrid work. We see that hybrid work, where we as employees can work either from home or from the office, creates opportunities to perform and work effectively in virtual and real environments.

Responsibilities of role

• Develop models that predict customer behaviour and financial outcomes.
• Create customer and case segments that support more relevant treatment strategies.
• Analyse payment patterns, recovery trends and portfolio performance.
• Build forecasts that support planning and investment decisions.
• Identify opportunities to improve recovery, customer experience and operational efficiency.
• Translate business questions into clear analytical approaches.
• Test different modelling methods and recommend practical solutions.
• Work with data and technology teams to put models into use.
• Monitor model performance and improve models over time.
• Explain findings, assumptions and limitations to technical and non-technical audiences.
• Document your work and contribute to responsible use of data and AI.

Your Background

You have a university degree, or equivalent experience, in a quantitative field such as finance, economics, statistics, mathematics, data science, engineering or computer science.

We believe you also have:

• Experience working as a data scientist, quantitative analyst, financial analyst or in a similar role.
• Strong analytical and problem-solving skills.
• Experience developing statistical or machine-learning models.
• Good working knowledge of Python and SQL, or similar tools.
• Experience analysing financial, customer or behavioural data.
• The ability to connect analytical results to business decisions.
• Good communication and collaboration skills.
• An understanding of how models should be tested, documented and monitored.
• Experience from credit, banking, payments, insurance, debt collection or portfolio analysis is valuable, but it is not essential.
• Experience with cloud-based data platforms, Databricks, Azure or model deployment is also an advantage.

Who are you

We at Intrum want to contribute to an inclusive and diverse working life. We accept our differences and know that this is a strength. We know that we are all a resource for society, regardless of age, functional ability, gender, religion, ethnicity or sexual orientation. Therefore, we encourage everyone to apply for a job with us. Come as you are.

You act according to our values. Our values are not words. They are everything.

Behind our global expansion and major digital transformation are four simple but powerful values. Ethics. Devotion. Solutions. Empathy. It is the value that drive our everyday life, regardless of how big we become. Others may think they are small things. But for us, they are everything.

Are you curious or have questions?

You are welcome to contact the recruitment manager for more information: Misbah Uddin.