Data Scientist (all humans)

Állás info
Város
Cégnév
Erste Bank
Céginfo
55 állás a cégnél
Cég címe
Wien Am Belvedere 1
Cég weboldal
http://www.erstebank.at/karriere
Cég link
https://www.karriere.at/f/erste-bank
Hirdetés aktiválása
Jan. 14, 2025, 4:53 p.m.
Hirdetés utoljára aktív
Jan. 28, 2025, 9:38 a.m.
Link
https://www.karriere.at/jobs/7421890
Farkas Kiss Endre Data Scientist (all humans) bei  nudist vlogger
Pontszám
Vienna,Wien
15
java
5
javascript
5
python
-10

Farkas Kiss Endre legjobb állása Erste Bank

Erste Bank email

Email tárgya

Bewerbung fur Senior Fullstack Java Software Developer (all humans)

Levél szövege

Lieber  Erste Bank !

Ich möchte mich bei Ihrem Unternehmen als Data Scientist (all humans) bewerben. 
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.

Ich habe meinen Lebenslauf an diese E-Mail angehängt.

Wir freuen uns darauf, von Ihnen zu hören!


Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger

https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org

Álláshirdetés szövege

One bank. Many career paths. #makeITmatter Data Scientist for ERSTE Hey George (all humans)Location: Vienna, AustriaWorking-Hours: fulltime_permanentDivision: Group Digital BankingCompany: Erste Digital Apply now We are part of Erste Group - the largest banking group in Central and Eastern Europe with more than 2,500 branches and over 45,000 employees. Our more than 2,000 IT experts and enthusiasts are the bank's Digital Muscle. In our cluster we are developing a future of internet banking - an AI driven banking chatbot Hey George to help millions of our customers in Europe with their daily banking requirements as well as with improving their financial health. We have already achieved significant results with our chatbots, but as you can imagine, this poses many wonderful questions for Data Science - how do we measure the quality and correctness of Hey George answers? Especially for questions requiring financial calculations? How do we protect Hey George from attacks? How can we further optimize it to become a personalized financial assistant helping our clients becoming financially stronger? As a Data Scientist, you will closely collaborate with colleagues from business and IT to answer these questions with data-driven solutions as well as search for new questions 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 modelling and algorithms. What to do:Analyse chatbot usage and its user's requirements (in collaboration with product colleagues) in order to drive chatbot feature development across six markets. You deliver typical data science tasks in data driven projects, including data pipelines and monitoring engineering, development of predictive models and learning from data, text classification, conversation understanding etc. You are ready to deliver in team and independently, proactively searching for assistance of team and partner departments to deliver on time. 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. You check these boxes:A genuine curiosity and thinking about how to bring innovative problem solutions into practical application in a banking industry. Good understanding of statistical methods and common machine learning algorithms. In-depth experience with data analysis and visualization. Experience in development and implementation of generative AI solutions (prompt-engineering techniques for Large Language Models, training of LLMs). Good knowledge of Python, Spark and SQL (with practical experience). Expertise in Databricks. Practical experience with agentic systems (e.g. LangGraph). Practical knowledge of JavaScript (since our backend runs on Node.js). Basic understanding of the banking business. Language skills: English full proficiency, German or Czech intermediate is a plus. A Bachelor's or Master's degree with a focus on quantitative disciplines. Minimum of 3 years practical experience as a Data Scientist. Why you will like us:Possibility to benefit and learn from our international, talented and passionate community at Erste Interest groups and clubs: Take part in discussions and get involved in projects. Numerous interest groups invite you to engage with a topic Health Care - Taking care of your health is important. That's why we contribute to your above standard medical examination and provide a helpline in case of hard lifetime situations. You also receive a salary compensation during sick leave Work-Life-Balance - Sabbatical, paternity leave, contribution to marriage & childbirth, 4 days of extra holiday per year, contribution to the 3rd pillar and MultiSport card. This is how we promote a balance between work, leisure, and family Employee Referral Program - Become a talent scout for career opportunities in IT. We are rewarding every successful referral for Erste Digital A competitive and performance-related salary dependent on your professional and personal qualifications is granted - the minimum wage for this position in accordance with the respective collective agreement is EUR 56.448,-- gross per year. But this is just a formality, we are more than happy to discuss your actual expectations. The way we are:Erste Group considers the diversity of its employees as key to innovation and success. As employer we are proud to offer everyone equal chances, irrespective of age, skin colour, religious belief, gender, sexual orientation or origin. Apply now