Data Scientist (all genders)

Erste Bank der oesterreichischen Sparkassen AG ("Erste Bank")

Wien - vor 1 T

Working with us means believing in the future; in the great people who are shaping it together every day and in the wide-ranging career paths it opens up. #believeinyourself

Data Scientist (all genders)

Location: Vienna

Working Hours: Full-time

Occupation Area: Risk management, IT

Company: Erste Bank Oesterreich

Benefits

Culinary delights
Success through diversity
WeShare - Employee Share Program
Learning & Development
Financial services

Erste Bank Oesterreich is a leading domestic financial institution. As part of the international Erste Group, we are an attractive employer who offers interesting career opportunities.

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.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.

What to do

* Delivering typical data science tasks in data driven projects, 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, 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
* Showing genuine curiosity and thinking about how to bring innovative problem solutions into practical application in banking industry
* Delivering and supporting 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

Your check these boxes

* Bachelor's or Masters degree with a focus on quantitative disciplines
* Minimum of 3 years practical experience as a Data Scientist
* Good understanding of statistical methods and common machine learning algorithms
* Experience with data preparation process ML models development (ability to work independently from data preparation, model development to testing model results and bringing it to production)
* Good knowledge of Python, Spark and SQL (with practical experience). Hands-on experience with Databricks is a plus
* Experiences with reports and result presentations for business users, as well as know how in data visualization
* Basic understanding of the banking business
* Experience in development and implementation of generative AI solutions (prompt-engineering techniques for Large Language Models, training of LLMs) is a plus
* Language skills: German and English full professional proficiency

Our Offer

* Possibility to benefit and learn from our international, talented and passionate community at Erste
* Discover and enjoy the benefits of Erste Bank
* The minimum wage for this full-time position in accordance with the collective agreement with complete fulfillment of the functional profile is EUR 43.554,-- gross per year. But this is just a formality - we would be happy to talk about your actual salary in person!
* We offer our employees the opportunity to divide their hours between working from home and at the office.
* We consider the diversity of our 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.

Contact

Sarah Elisabeth Himler

Apply online

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