Data Scientist – Financial Services

Data Engineering & Integration

Change Management & Enablement

Required Skills & Qualifications

• Client-facing experience, including delivering presentations/product demos, running workshops, and managing client expectations
• Experience delivering complex business or technology solutions, from requirements gathering to solution design
• Excellent communication skills, both written and verbal; able to communicate confidently and effectively at any level
• Ability to grasp technical concepts and translate them into business solutions
• Good working knowledge of SQL and experience with databases (Oracle, DB2, SQL Server, Postgres)
• Good working knowledge of Python (Pandas, NumPy, scikit-learn) or similar
• Expertise in industry standard modelling tools and methods
• Experience with software development lifecycle practices (preferably Agile)
• Good knowledge of IT systems, architectures, and terminology
• Strong interpersonal/leadership skills

Preferred Skills & Qualifications

• Understanding of compliance processes and workflows in financial services
• Experience and exposure with Unix (Solaris, AIX, Linux, HP UX)
• Knowledge of financial regulatory modules such as AML, KYC, FATCA, CRS, and related topics
• Diversity & Inclusion Statement: We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply.
• SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.