Required skills
Job description
Project overview
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
Project details
- Start: ASAP
- Location: Remote, PL
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