Senior Data Scientist (Fintech)

TL;DR

Senior Data Scientist (ML/AI): Developing and deploying predictive models and AI-driven solutions for a global insurer with an accent on customer intelligence, financial forecasting, and fraud detection. Focus on building time series models, customer churn prediction, and operationalizing ML solutions in production environments.

Location: Hybrid in Ljubljana, Slovenia

Company

One of the largest global insurance companies providing risk management and insurance solutions.

What you will do

• Develop and deploy statistical, ML, and AI models to support strategic business objectives.
• Design forecasting solutions for customer and financial KPIs using time series and predictive modelling techniques.
• Build customer intelligence solutions for segmentation, lifetime value estimation, and churn prediction.
• Apply machine learning techniques to fraud detection, claims analytics, and risk assessment.
• Collaborate with business stakeholders and data engineering teams to translate business problems into analytical solutions.
• Contribute to data science best practices, model governance standards, and analytical methodologies.

Requirements

• 6+ years of experience in data science, advanced analytics, and machine learning.
• University degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative discipline.
• Strong foundation in statistical modelling, predictive analytics, and ML techniques (regression, tree-based methods, clustering).
• Practical experience with time series modelling and forecasting methods.
• Strong programming skills in Python and/or R, as well as SQL.
• Fluent written and spoken English.

Nice to have

• Experience with Azure-based analytics ecosystems and cloud platforms.
• Background in insurance, financial services, or other customer-centric industries.
• Hands-on experience with Databricks, Spark, or similar distributed data processing frameworks.
• Familiarity with MLOps practices and model deployment frameworks.
• Knowledge of responsible AI, bias assessment, and model risk management.

Culture & Benefits

• Flexible working arrangements tailored to individual needs.
• Equal opportunity employer valuing diversity, individuality, and collaboration.
• Optimistic corporate culture focused on exploring new possibilities ("What can go right?").