About the Client
Our client is a provider of IT solutions, systems, hardware and software services in banking sector. It operates data centres, bank systems, POS terminals and HW (servers and PC) and is responsible for development, implementation, support and servicing of banking software and its operations in Central and Eastern Europe.
About the Role
For our client, we are looking for experienced Data scientist
Responsibilities
As a Data Scientist, you closely collaborate with colleagues from business and IT to design data-driven solutions that will help improve our company. We will rely on you to build machine learning (ML) models or other solutions to identify patterns in our data and extract valuable business insights. In this role, you should be highly analytical with a knack for math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for modeling and algorithms.
In this position you will:
- You deliver typical data science tasks in data driven projects / programs, where development of predictive models and learning from data measurably supports our internal business customers (Retail, Corporate, Data Quality, etc.) in areas such as improved customer experience, sales, churn prevention, transaction classification, text classification, ...
- You are ready to deliver in team and independently, proactively searching for assistance of team and partner departments to deliver on time
- You show genuine curiosity and thinking about how to bring innovative problem solutions into practical application in banking industry
- You deliver and support in all phases of the full Data Science process, but with different level of expectations and time allocation, where data and feature engineering, as well as search for optimal parameters within chosen model class take the most of time
- You are open to learn how to serve banking business owners, even in international projects, through strong interest in data and technology
Requirements
Bachelor’s or Masters degree with a focus on quantitative disciplines
Minimum of 2 years practical experience as a Data Scientist
Good understanding of statistical methods and common machine learning algorithms
Hands-on experience in the design and development of applications utilizing the Retrieval Augmented Generation (RAG) pattern, which includes steps such as chunking, embedding, and querying a Large Language Model (LLM)
Good knowledge of Python, Spark and SQL (with practical experience).
Basic understanding of the banking business
Language skills: English full professional proficiency
Nice to Have Skills
Hands-on experience with Databricks