Data Scientist @ 7N in 7N

For our client, a leader in innovative banking, we are looking for experienced Data Science Specialists/Experts. The team is currently working on an original system for detecting anomalies and analyzing customer transactions for the needs of the AML project. 90% of the team works remotely from anywhere in Poland. Team meetings (one-day) at the client's office in Warsaw are held once every two weeks.

We offer:

• Remuneration adequate to the commercial experience and the result of the technical interview on the client's side. Estimated budget: PLN 120-160 + VAT/H
• Tools necessary to provide services
• Transparent settlement model and long-term cooperation based on a B2B contract
• Support in professional development. We subsidize training and technical certificates, participation in conferences and learning foreign languages. Additionally, Consultants have the opportunity to participate in internal training and training developing interpersonal skills under the 7N Secret Code
• Possibility to benefit from the support (and join) the 7N Inspiration Team, a group of 7N Consultants actively sharing knowledge in the industry
• Cooperation with experts (the average professional experience of a 7N Consultant is 10 years)
• Comprehensive support on the project by a personal guardian-agent. Priority treatment of project continuity and the quality of implemented projects
• Financing health care and the Benefit Multisport card and life insurance regardless of the form of cooperation.
• Access to the psychological support and personal development platform Mindgram

• Higher education in computer science, econometrics, physics, mathematics, quantitative methods or a related field
• Experience in programming using Python, in particular the Pandas, NumPy, scikit-learn, hyperopt libraries
• Min. 3 years of commercial experience in building statistical models, e.g. logistic regression, random forests, xgboost , isolation forest and their evaluation
• Very good knowledge of SQL, GIT
• Experience in working with Big Data tools: Spark, Hadoop, Hive, Impala etc.

Welcome:

• Knowledge of AML issues
• Knowledge of LLM issues
• Experience in writing REST applications (e.g. Spring, FastAPI)
• Experience in working with the Azure/GCP cloud
• Experience in working with PowerBI
• Experience in working with CI/CD tools

For our client, a leader in innovative banking, we are looking for experienced Data Science Specialists/Experts. The team is currently working on an original system for detecting anomalies and analyzing customer transactions for the needs of the AML project. 90% of the team works remotely from anywhere in Poland. Team meetings (one-day) at the client's office in Warsaw are held once every two weeks.

We offer:

• Remuneration adequate to the commercial experience and the result of the technical interview on the client's side. Estimated budget: 120-1PLN 60 + VAT/H
• Tools necessary to provide services
• Transparent settlement model and long-term cooperation based on a B2B contract
• Development support professional. We subsidize training and technical certificates, participation in conferences and learning foreign languages. Additionally, Consultants have the opportunity to participate in internal training and training developing interpersonal skills under the 7N Secret Code
• Possibility to benefit from the support (and join) the 7N Inspiration Team, a group of 7N Consultants actively sharing knowledge in the industry
• Cooperation with experts (the average professional experience of a 7N Consultant is 10 years)
• Comprehensive support on the project by a personal guardian-agent. Priority treatment of project continuity and the quality of implemented projects
• Financing health care and the Benefit Multisport card and life insurance regardless of the form of cooperation.
• Access to the psychological support and personal development platform Mindgram
, [Developing applications that touch millions of customers every day, Writing code with attention to every detail, Creating and supporting pipelines and processing data, Creating new ML models or developing existing ones]
Requirements: Python, pandas, NumPy, scikit-learn, hyperopt, SQL, Git, Big Data, Spark, Hadoop, Hive, Impala, AML, LLM, Spring, FastAPI, Azure, GCP, PowerBI, CI/CD
Additionally: Training budget, Sport subscription, Private healthcare, Small teams, Free coffee, Free parking, Modern office, No dress code, In-house training.