
Senior Data Science Engineer, (f/m/x)
- București
- Permanent
- Full-time
- Delivery of AI and ML applications on modern infrastructure in an international business context.
- Stays up to date on most recent Data Science / AI trends and integrates into model development.
- Engages into Data Science / AI education within PB / TDI organization.
- Strong communication and interpersonal skills, with the ability to work effectively in a global environment with mixed teams and cultures at different time zones.
- Excellent problem-solving skills coupled with a sharp attention to detail.
- Outstanding communication abilities and proficiency in English
- Capability to work in a fast paced and changing environment.
- Understanding and translating business requirements into technical concepts as preparation for AI application development.
- Turning unstructured data into useful information by e.g., applying NLP.
- Advanced pre-processing of data as required by the respective AI application.
- Advanced analytics of business data using modern statistical approaches and analytical systems.
- Implementation of AI and ML applications in company with the Deutsche Bank IPB Business Organisation.
- Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
- Train and retrain systems when necessary.
- Operating and governing the delivered ML models.
- Research and implement appropriate ML algorithms and tools.
- Execute data science experiments to gain new insights into the available data, which allows generating new business opportunities.
- Visualisation of data using common BI tools.
- Extend existing ML libraries and frameworks if necessary.
- Rollout and document changes and applications according to regulatory requirements.
- Maintain and deliver Bugfixes for existing AI and ML applications.
- Stay up to date with the latest trends, technologies, and research on Data Science field (e.g. Graph neuronal networks, Transformer based neuronal network etc.) and integrates them into model development.
- BSc in Data Science, Statistics, Computer Science or similar field. Master’s degree is a plus.
- Proven experience as a Machine Learning Engineer or similar role.
- In-depth knowledge of mathematics, statistics, and algorithms.
- Proficiency in at least one of programming language (ideally Python) with a strong understanding of object-oriented programming principles and design patterns.
- Understanding of different database technologies, including relational and non-relational databases.
- Knowledge of common Python frameworks for data processing, data science and machine learning e.g. Pandas, Scikit-Learn, Numpy, Tensorflow and others.
- Comprehensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.
- Experience with appropriate techniques for data visualization and processing of large data sets.
- Knowledge of industry standard processes for build, deploy, release and support (CI/CD, incident/problem/change management etc.)
- Experience with cloud computing ideally GCP or similar.
- Effective management of the ML projects lifecycle and associated models.
- Exposure to ML models deployment, monitoring, and governance, preferrable GCP or similar.
- Background with specific NLP frameworks e.g. NLTK, Spacy.
- Knowledge of finance industry and understanding of financial products and business processes.
- Empowering managers who value your ideas and decisions. Show your positive attitude, determination, and open-mindedness.
- A professional, passionate, and fun workplace.
- A modern office with fun and relaxing areas to boost creativity.
- Continuous learning culture with coaching and support from team experts.
- A culture where you can openly speak about mental health.
- Kids@TheOffice - support for unexpected events requiring you to care for your kids during work hours.
- 24 days holiday, loyalty days, and bank holidays (including weekdays for weekend bank holidays).
- Hybrid working model with flexible working options
- Enjoy retailer discounts, cultural and CSR activities, workshops, and more.
- Competitive income, performance-based promotions, and a sense of purpose.
- Meal vouchers, bonuses for referrals