Data Scientist

 We are a trailblazer in AI-powered Anti-Money Laundering (AML) solutions, offering cutting-edge technology to fintechs, banks, and regulatory bodies worldwide. Our mission is to enhance trust in financial transactions, ensuring compliant and innovative business growth.  Our technology empowers customers to expand into new markets and introduce groundbreaking products.

We are looking for a Data Scientist for customer-facing projects that combine data science with deep knowledge and understanding of machine learning and big data technologies to create solutions for customers’ challenges and needs, defining and developing appropriate technical and business solutions. The Data Scientist will work closely with our Product Management, Algorithm, Engineering, and Customer Success teams and lead external partners to successful implementations of our platform and solutions.

Key Responsibilities

• Deliver successful deployment and Pilots
• Manage and design the Customer-specific technical solution throughout the project life cycle
• Technical leadership of Data Science & Engineering aspects and team members including partners
• Work on various data sources and apply sophisticated feature engineering capabilities
• Bring and use business knowledge
• Extract insights and actionable recommendations from large volumes of data and Investigate anomalies in Big Data
• Build and manage technical relationships with customers and partners
• Provide product requirements input to the Product Management team
• Train the customers on the system – system usage and monitoring aspects
• Travel to customer locations both domestically and abroad

Position Requirements: 

• BSc in Computer Science, Statistics, Mathematics, Engineering, or related field.
• 2+ years of experience as a Data Engineer, Data Scientist, or Big Data Developer.
• Hands-on experience with Apache Spark, Python/PySpark, and SQL.
• Familiarity with Hadoop ecosystem (Hive, Impala, HDFS, Sqoop) and data pipeline optimization.
• Practical experience building or integrating AI agents and working with LLMs.
• Strong skills in data transformation, ML feature engineering, and analytics for financial services.
• Experience with workflow automation tools (Airflow, MLflow, n8n) and version control (GIT).
• Ability to work with customers, train teams, and deliver technical solutions.
• Fluent in English