Data Scientist (Project-Based)

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the client:
Our client is a UK fintech creating successful neobanks in emerging markets in partnerships with local traditional banks.

About the role:
We are looking for an experienced Data Scientist to join the team.

Requirements:
– 2 to 4 years of experience in Data Science, with proven experience in building scoring models.
– Deep knowledge and practical experience in machine learning and statistical analysis.
– Experience with the Python programming language and libraries for data processing and machine learning (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
– Skills in feature engineering and model selection for solving specific tasks.
– Ability to analyze large volumes of data and turn analytical insights into concrete actions.
– Experience with SQL and databases.
– Ability to work independently and as part of a team, as well as interact with non-technical colleagues.

Responsibilities:
– Develop and implement risk-scoring models to assess client creditworthiness, including both application and behavioral models.
– Perform feature engineering processes to enhance the quality and efficiency of predictive models.
– Analyze data to identify new opportunities and trends that can be utilized to improve scoring models.
– Collaborate with development teams and business analysts to integrate models into business processes.
– Monitor and analyze the performance of models in production, and propose and implement improvements.

The company offers:
– Work at the intersection of AI, LLMs, and groundbreaking enterprise solutions.
– Join the stock option program and grow with us as we redefine the industry.
– Thrive in a creative, fast-paced environment that values curiosity and experimentation.
– Choose what works best for you — remote, hybrid, or in-office.
– Be part of a company that values your ideas, skills, and drive to make a tangible difference.

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