Data Scientist
Iute GroupEstonia13 days ago
Full-timeEngineering, Information Technology
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Who We Are
Iute Group is a fast-growing fintech company founded in 2008 in Estonia, operating in Albania, Moldova, North Macedonia, and Bulgaria. We provide consumer finance, payments, banking, and insurance services with a mission to deliver an outstanding personal finance experience powered by technology and elevated by the human touch.
About The Role
We are looking for a Data Scientist to join our Data Science team and develop analytical models that support business decisions across Iute Group. You will work with financial and customer data, build machine learning solutions, and collaborate with business and engineering teams. Your work will directly influence customer behaviour insights, operational efficiency, pricing, risk, and strategic decision-making.
Your Key Responsibilities
Our hiring process is straightforward and transparent. It starts with a short screening call, where we get to know each other better and discuss your background. After that, you will have an interview with the Group Head of Data Science to talk through your experience and interests in more detail. Throughout the process, we keep communication clear and provide timely feedback so you always know where things stand.
Please note: This is a full-time, on-site role based in Tallinn, Estonia.
We only consider candidates currently residing in Estonia.
Iute Group is a fast-growing fintech company founded in 2008 in Estonia, operating in Albania, Moldova, North Macedonia, and Bulgaria. We provide consumer finance, payments, banking, and insurance services with a mission to deliver an outstanding personal finance experience powered by technology and elevated by the human touch.
About The Role
We are looking for a Data Scientist to join our Data Science team and develop analytical models that support business decisions across Iute Group. You will work with financial and customer data, build machine learning solutions, and collaborate with business and engineering teams. Your work will directly influence customer behaviour insights, operational efficiency, pricing, risk, and strategic decision-making.
Your Key Responsibilities
- Collect, clean, and preprocess data from various internal and external sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop data science use cases such as predictive analytics, segmentation, churn analysis, demand forecasting, sentiment analysis, and pricing optimization.
- Build and maintain machine learning models, including feature engineering, training, validation, and hyperparameter tuning.
- Deploy models into production environments and support ongoing monitoring and retraining.
- Develop methodologies to evaluate use case impact and communicate results to stakeholders.
- Collaborate with data engineers, analysts, and business teams to align solutions with business needs.
- Present insights and model outputs clearly to non-technical audiences.
- 2+ years of hands-on experience in Data Science or a similar analytical role.
- Degree in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Data Science) or equivalent experience.
- Strong analytical thinking, problem-solving skills, and understanding of statistical and machine learning methods.
- Proficiency in Python and SQL for data manipulation, analysis, and model development.
- Experience with data preprocessing, feature engineering, and ML model evaluation.
- Familiarity with data visualization tools (e.g. Tableau, Power BI, Looker) for communicating insights.
- Ability to explain technical concepts clearly to non-technical stakeholders.
- Curiosity, adaptability, and willingness to learn new technologies and approaches.
- Experience in fintech or financial services.
- Experience with model deployment, monitoring, or cloud platforms.
- Opportunity to make a real impact on business decisions through high-value data science work.
- Professional growth opportunities, including training and development support.
- Competitive salary with share options or annual performance bonus.
- Health or sports benefits, extra vacation days, and support for life events.
- Supportive, collaborative, and multicultural team environment.
- Flexible work arrangement and a modern office in central Tallinn.
Our hiring process is straightforward and transparent. It starts with a short screening call, where we get to know each other better and discuss your background. After that, you will have an interview with the Group Head of Data Science to talk through your experience and interests in more detail. Throughout the process, we keep communication clear and provide timely feedback so you always know where things stand.
Please note: This is a full-time, on-site role based in Tallinn, Estonia.
We only consider candidates currently residing in Estonia.
Key Skills
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