Senior Data Scientist
EPAM Systems (Poland) sp. z o.o.
⚲ Wrocław, Krzyki
Wymagania
- Python
- Pandas
- Scikit-learn
- TensorFlow
- Generative AI
Opis stanowiska
Nasze wymagania: 3+ years of experience as a Data Scientist or in a similar role Strong Python programming for data analysis and modeling (using libraries like pandas, scikit-learn, TensorFlow) Statistical analysis and machine learning expertise Understanding of business context and ability to translate data insights into actionable recommendations English proficiency at B2 level or higher Mile widziane: Experience with GenAI-assisted development (using Generative AI tools to support coding, testing, or solution design) O projekcie: We are looking for a Senior Data Scientist with expertise in Python. The project involves implementing a platform for developing and deploying portfolio models using ML and AI. The goal is to improve data analysis, enhance investment performance, and optimize costs. Our client is a leading global financial services firm providing wealth management, investment banking, and asset management services to clients worldwide. This is a hybrid role requiring presence in the Wrocław office three days a week, with flexible working hours. Zakres obowiązków: Collect, clean, and analyze data to identify trends and patterns Develop statistical models and machine learning algorithms Visualize data and communicate findings to stakeholders Experiment with different modeling techniques to improve predictions Collaborate with data engineers to access and use data efficiently Oferujemy: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English language classes Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events