Data Scientist – Banking and Financial Services

Our client is a leader in online banking, focusing on digital banking innovation and data-driven projects in the financial services sector.

• At least 3 years of experience in data science or related roles
• Strong foundation in machine learning concepts and algorithms
• Proficiency in SQL for data querying and manipulation
• Experience with Python and libraries such as NumPy, Pandas, SciPy, Matplotlib
• Familiarity with big data tools like Hadoop and Apache Spark
• Ability to translate business problems into analytical solutions
• Understanding of statistical analysis and data visualization techniques
• Strong communication and stakeholder management skills
• A product-oriented mindset with an engineering approach to problem solving

Nice to have:

• Knowledge of DevOps principles and basic Linux administration skills
• Experience with Java or Scala for machine learning applications

• Build and validate machine learning models tailored to business needs
• Analyze and interpret complex data to extract actionable insights
• Collaborate with business stakeholders to define product vision and data strategy
• Identify, collect, and prepare internal and external data sources
• Engage in cross-functional teams to integrate data solutions into products
• Visualize and present findings to both technical and non-technical audiences
• Design scalable data workflows and pipelines using appropriate technologies
• Leverage statistical methods to support decision-making processes
• Participate in the continuous improvement of data infrastructure and tools
• Contribute to a culture of data-driven product development

Only candidates with an existing legal right to work in the European Union will be considered for this role.