Senior Data Scientist (B-1227)

Nálunk ezekkel fogsz foglalkozni:

• 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.

Te vagy az emberünk, ha:

• 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.

Előnyt jelent:

• 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.

Van még érvünk:

• 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.