Experian is the world's leading provider of data, analytics, and statistical models within financial and business information. Operating in 44 countries, Experian empowers its customers with insights through a combination of data, analytics, and software solutions. Experian employs approximately 200 people across Northern Europe.
JobbeskrivelseAre you passionate about data, analytics, and building predictive models that solve real business challenges?
Experian's Nordic Analytics team is looking for a Data Scientist to help develop innovative credit risk solutions and analytical products across the Nordics. This is an exciting opportunity to work with statistical modelling, machine learning, and large-scale data while developing expertise in one of the most impactful areas within financial analytics.
Whether you're building on a strong academic foundation or already have experience within credit risk analytics, we're looking for someone who is curious, technically skilled, and motivated to continue growing within data science and credit risk analytics.
What You'll Do
As part of our Nordic Analytics team, you will contribute to the development of data-driven solutions that help clients make smarter and more informed decisions.
Your key responsibilities will include:
- Delivering analytics projects with a primary focus on statistical and predictive modelling, applying regression techniques, machine learning, and other analytical methods to solve business challenges.
- Developing, testing, and validating predictive models, credit risk scorecards, and other analytical solutions to support better decision-making.
- Developing new credit risk-related scores, attributes, and use cases for Experian's analytics products and platforms.
- Exploring and analysing data to identify trends, patterns, risks, and opportunities, transforming complex data into actionable insights.
- Supporting client discussions to understand the client's problem, identifying analytics needs, and position scorecards, statistical models, and data analysis linked to business value.
- Communicating analytical findings and recommendations to both technical and non-technical stakeholders, translating complex analyses into business value.
- Collaborating with colleagues across the Nordics on client projects, innovation initiatives, and the continuous development of Experian's analytics capabilities.
Who We're Looking For
We're looking for someone with strong analytical capabilities, a solid technical foundation, and a genuine interest in predictive modelling and data science.
We believe you'll bring:
- A Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Engineering, or another quantitative field.
- Exposure to credit risk modelling, scorecard development, model validation, or risk analytics.
- Hands-on experience in data analysis, statistics, predictive modelling, or machine learning gained through professional employment.
- Strong programming skills in Python and SQL.
- A structured and analytical approach to problem-solving.
- Curiosity, initiative, and a desire to continuously learn and develop.
- Strong communication skills and the ability to explain complex analytical concepts clearly.
- Professional proficiency in English.
Nice to Have
- Experience within financial services, banking, fintech, consulting, or other data-driven industries.
- Experience with PySpark, cloud-based analytics environments, or large-scale data processing.
- Knowledge of credit risk management regulations.
Ytterligere informasjon
Why Join Experian?
At Experian, you'll join a collaborative and highly skilled analytics team that combines deep industry expertise with a passion for innovation.
You'll have the opportunity to:
- Work on impactful modelling and analytics projects across the Nordics.
- Learn from experienced analytics professionals and subject matter experts.
- Develop expertise in predictive modelling and credit risk analytics.
- Work with large and unique datasets within a global organisation.
- Grow your career in an international, inclusive, and supportive environment.
- 6 weeks Vacation
If you're motivated by solving complex problems through data and want to build innovative analytics solutions with real-world impact, we'd love to hear from you.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Skills Required
- Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Engineering, or another quantitative field.
- Hands-on experience in data analysis, statistics, predictive modelling, or machine learning gained through professional employment.
- Strong programming skills in Python.
- Strong programming skills in SQL.
- Exposure to credit risk modelling, scorecard development, model validation, or risk analytics.
- Structured and analytical approach to problem-solving.
- Strong communication skills and ability to explain complex analytical concepts clearly.
- Professional proficiency in English.
- Experience within financial services, banking, fintech, consulting, or other data-driven industries.
- Experience with PySpark, cloud-based analytics environments, or large-scale data processing.
- Knowledge of credit risk management regulations.
Experian Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.
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Healthcare Strength — Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
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Leave & Time Off Breadth — Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
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Retirement Support — Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.
Experian Insights
What We Do
Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.
