EU remote
Data scientist
About this role
Description We are seeking a highly motivated Data Scientist to join our growing team and help deliver innovative machine learning and analytics solutions for complex business challenges. In this customer-facing role, you will work with large-scale datasets, develop advanced analytical models, and collaborate cross-functionally with product, engineering, and business stakeholders to drive measurable impact. Responsibilities Design and implement data science solutions throughout the project lifecycle.
Analyze large and complex datasets to identify trends, anomalies, and actionable insights. Develop and optimize machine learning models and advanced analytics workflows. Perform feature engineering and data preparation for predictive modeling initiatives. Collaborate with Product, Engineering, and Customer Success teams to translate business requirements into technical solutions. Lead the data science aspects of customer implementations, pilots, and production deployments.
Build strong technical relationships with customers and external partners. Provide recommendations to improve products, algorithms, and analytical capabilities. Deliver training and knowledge transfer to end users and stakeholders. Support investigation and resolution of data-related and analytical challenges. Requirements Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative field.
2+ years of experience in Data Science, Data Engineering, Machine Learning, or Big Data development. Strong programming skills in Python and experience with PySpark . Hands-on experience working with large-scale data processing frameworks and machine learning pipelines. Experience with ML lifecycle and workflow management tools such as MLflow , Airflow , or similar platforms. Strong analytical, problem-solving, and statistical modeling skills.
Ability to communicate complex technical concepts to both technical and non-technical audiences. Experience working directly with customers or external stakeholders is a plus. Preferred Qualifications Experience in financial services, fraud detection, risk analytics, compliance, or transaction monitoring. Familiarity with cloud-based data and machine learning environments. Experience investigating anomalies and extracting insights from high-volume datasets.