Our Client Currently looking for Senior Data Scientist
In this position, you will:
– Configure, validate, and deploy machine learning models to customers around the world.
– Conduct Proof-of-Value exercises with customers to demonstrate model performance and business impact.
– Contribute to the research, development, and evaluation of new fraud, scam, and mule detection solutions.
– Support and improve production models as customer needs and fraud patterns evolve.
– Partner with Product, Customer Delivery, and Data Science colleagues to enhance our solutions and deliver greater customer value.
– Analyse complex datasets to identify opportunities for improved detection performance and customer outcomes.
– Contribute to a culture of learning, continuous improvement, and practical problem solving.
All About You
Essential
– Experience developing, evaluating, and deploying machine learning models in a commercial environment.
– Strong proficiency in Python for data science and machine learning.
– Experience working with structured and large-scale datasets.
– Ability to apply scientific thinking and sound analytical approaches to solve complex problems.
– Strong communication skills, with the ability to explain technical concepts and results to a variety of audiences.
– Curiosity and a willingness to challenge assumptions, learn new approaches, and continuously improve solutions.
– Ability to work independently while collaborating effectively across teams.
– A customer-focused mindset and an interest in understanding how data science creates real-world value.
Desirable
– Experience with PySpark and distributed data processing.
– Experience building machine learning solutions for fraud, scams, mule detection, or broader financial crime use cases.
– Knowledge of the Account-to-Account (A2A) payments ecosystem.
– Familiarity with modern software development and model deployment practices.
– Experience working with payment, banking, or financial services data.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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