We are seeking a highly motivated Junior Data Scientist to join our growing team and help deliver innovative machine learning and analytics solutions for complex business challenges.

Analyze complex financial services data to identify patterns, anomalies, suspicious activities, and potential risks using forensic data analysis techniques.
Develop and implement data processing and analytical solutions using Python, PySpark, and relevant big data technologies.
Design, build, and manage data science workflows and pipelines using tools such as MLflow and Airflow.
Collaborate directly with technical and business stakeholders to understand customer challenges, translate requirements into analytical solutions, and drive projects independently from concept to delivery.
Explore and implement innovative solutions using machine learning, LLMs, and agentic AI workflows to improve analytical capabilities and automate data-driven processes.
2+ years of experience as a data scientist/data engineer/big-data developer
BSc or equivalent in Mathematics, Statistics, Computer Science, Economics, or another related field
Must have proven professional experience in data analytics for financial services with forensic skills
Must have Hands-on experience and knowledge of scripting languages: Python/PySpark as well as DS workflow management tools including MLflow, Airflow, etc.
Experience in LLM and agentic workflow – an advantage
Able to solve tech problems for customers, improvise and cope with unexpected challenges
Ability to design creative solutions for complex requirements
Ability to learn and lead projects independently, and to work with minimal supervision with customers (tech & business)
Ability to execute multiple projects and drive key business results under tight deadlines

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