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Senior Data Scientist
At UNION, we believe in keeping communication simple, clear and human – not only with our customers, but also with one another. According to the results of our employee surveys, our strengths include flexibility, diverse and meaningful work, a positive atmosphere and a genuine openness to learning and new ideas. At the same time, we offer the stability and resources of a large corporate organization, combined with opportunities for individual professional growth. Based on feedback from our employees, UNION has earned the Great Place to Work certification, recognizing us as one of the best workplaces in Hungary. In 2025, UNION was also named the most attractive employer in the financial services sector in Hungary, according to the Randstad Employer Brand Research. Our principal shareholder is the Austrian VIENNA INSURANCE GROUP, one of the largest insurance groups in Central and Eastern Europe, with a history spanning nearly 200 years.
- At Union, you will join a newly established team working on a greenfield initiative to build a modern, enterprise-scale AI & Data Platform.
- The team is building a centralized Data Lakehouse (DLH) platform, providing a scalable and secure foundation for enterprise data management, analytics, and AI/ML workloads.
- Beyond developing the underlying cloud infrastructure and platform capabilities, the team focuses on enabling AI and machine learning solutions across business processes, working in close collaboration with business stakeholders to deliver tangible business value.
- As a Senior Data Scientist, you will play a key role in identifying, designing and delivering AI and machine learning solutions that address complex business challenges and support data-driven decision-making.
- In this role, you will combine advanced analytics, machine learning and Generative AI capabilities with a strong business-oriented mindset. You will collaborate closely with business stakeholders, Data Engineers and Cloud Platform Engineers to transform business needs into scalable, production-ready AI/ML solutions.
- Collaborate with business stakeholders to identify opportunities and translate business challenges into actionable Data Science and AI use cases.
- Design, develop and evaluate machine learning models using statistical methods, supervised and unsupervised learning techniques.
- Develop predictive analytics solutions for business use cases such as customer behavior analysis, risk assessment, forecasting and process optimization.
- Explore and implement Generative AI and Large Language Model (LLM) solutions, including Retrieval-Augmented Generation (RAG) and intelligent automation.
- Perform exploratory data analysis, feature engineering and model experimentation on large and complex datasets.
- Develop scalable and reusable Data Science components using Python, SQL and Azure Databricks.
- Collaborate with Data Engineers and Cloud Platform Engineers to deploy, monitor and continuously improve machine learning models in production.
- Ensure model quality, explainability and reliability through appropriate evaluation, validation and monitoring techniques.
- Communicate analytical findings, model performance and business impact to technical and non-technical stakeholders.
- Contribute to Data Science best practices, reusable methodologies and continuous improvement of the enterprise AI & Data Platform.
- 5+ years of experience in Data Science, Applied Machine Learning, Advanced Analytics or a related field.
- Strong hands-on experience with Python and SQL, including commonly used Data Science libraries such as pandas, NumPy and scikit-learn.
- Solid understanding of statistics, probability, machine learning algorithms and predictive modeling techniques.
- Proven experience developing and evaluating supervised and unsupervised machine learning models, including classification, regression and clustering.
- Experience with feature engineering, data pre-processing, model validation and performance evaluation.
- Practical experience working with large, complex datasets and combining data from multiple sources.
- Experience with Generative AI, Large Language Models (LLMs) or Natural Language Processing (NLP) solutions.
- Familiarity with cloud-based data platforms and distributed data processing, preferably Microsoft Azure and Databricks.
- Experience with version control systems such as Git and collaborative software development practices.
- Ability to translate business requirements into analytical approaches and communicate complex technical concepts to business stakeholders.
- Strong analytical and problem-solving skills, with the ability to work independently and take end-to-end ownership of Data Science initiatives.
- Excellent professional communication skills in English.
- Hands-on experience with Azure Databricks, Apache Spark or PySpark.
- Experience with Generative AI frameworks and technologies such as Hugging Face, vLLM, LangChain or Azure OpenAI.
- Experience designing and implementing RAG pipelines, LLM-based applications or AI agents.
- Knowledge of deep learning frameworks such as PyTorch or TensorFlow.
- Experience with MLOps practices, MLflow, model lifecycle management and production deployment.
- Experience with model explainability, interpretability, responsible AI and AI governance.
- Experience developing APIs or integrating machine learning models into enterprise applications.
- Familiarity with time-series forecasting, anomaly detection, recommendation systems or optimization techniques.
- Experience working in the insurance, banking or financial services industry.
- Knowledge of insurance-related use cases such as risk modeling, fraud detection, claims analytics or customer analytics.
- Relevant academic background in Data Science, Computer Science, Mathematics, Statistics or a related quantitative field.
- You’ll have the opportunity to take on meaningful responsibilities and make a real impact.
- Our flexible working model allows you to work from home most of the month, helping you balance work and everyday life.
- We look forward to seeing you in the office on team days, where you’ll enjoy a modern, comfortable and inspiring working environment.
- We offer an attractive benefits package, including a cafeteria package, , a company mobile phone and employee discounts.
- Your health and well-being matter to us. That’s why we provide health insurance to all our employees, which can also be extended to cover family members.
- We’re more than just a workplace – we’re a community. You’ll have plenty of opportunities to take part in community and CSR initiatives, as well as company events throughout the year.
Állás azonosító: B-1227
Pozíció pontos megnevezés: Senior Data Scientist
Munkavégzés helye: 1082 Budapest, Baross u. 1.
Szakterület: Biztosítástechnika és elemzés
Munkaszerződés típusa: Határozatlan idejű
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