Data Scientist / Analyst (FC Detection and DE)

HSBC Service Delivery (Polska) Sp. z o. o. is a member of the HSBC Group, one of the largest banking and financial services organizations in the world, providing a comprehensive range of financial services to around 100 million customers globally.

• Strong experience in data science or related roles, with a focus on Machine Learning.
• Strong understanding of statistical concepts and their application in ML algorithms.
• Decent knowledge of Machine Learning and Artificial Intelligence concepts.
• Hands-on knowledge of developing code in SQL, Python, and BigQuery.
• Experience with Google Cloud Platform and/or cloud-based technologies.
• Very good communication, stakeholder management, and collaboration skills.
• Very good understanding of Agile framework and ability to operate within an agile environment.
• Proven ability to develop subject matter expertise quickly and convert complex analysis outcomes into non-technical, business-friendly presentations.

• Develop a clear understanding of the model and development-deployment pipeline aligned with business goals and user needs, ensuring it meets approved minimum performance criteria and articulating outcomes to stakeholders and the team.
• Engage in team management activities to deliver program objectives cohesively and collaboratively; mentor and coach junior/new team members.
• Communicate technical outcomes in a business-friendly manner to senior stakeholders, ensuring correct understanding, prioritization, and alignment with strategic goals.
• Maintain a clear understanding of the product roadmap for the pod, prioritize features and initiatives based on business value and market trends.
• Help POD members deliver prioritized product features using the Value Stream model, ensuring optimal value delivery through each iteration.
• Lead data analyst/scientist responsibilities within an Agile Scrum framework, ensuring correct and optimized code writing by POD members.
• Drive transparency and collaboration within and across PODs (Analytics, Product, IT, and Transformation), focusing on continuous improvement.
• Ensure all model documents are updated to the right standard and present models in relevant forums for approval before deployment.
• Participate and defend models in internal/external review forums (Independent Model Review, Audit, Regulator).
• Support follow-up analysis to close outstanding findings.
• Support model development as per strategic development/deployment framework of Financial Crime to keep solutions optimized, enriched, and future-ready.
• Actively participate in a culture of continuous improvement, fostering innovation and experimentation to optimize product performance and customer satisfaction.