• Gathering data from diverse sources, including SQL databases, APIs, website scraping, and IoT devices;
• Processing, cleaning, and validating data integrity to handle missing values, outliers, and formatting inconsistencies;
• Normalizing and structuring data to make it suitable for analysis and modeling;
• Examining data to identify hidden patterns, trends, correlations, and anomalies;
• Applying statistical techniques (e.g., hypothesis testing) to understand the underlying data structure;
• Designing and running experiments to validate model performance and business impact;
• Tuning model hyperparameters to improve accuracy;
• Implementing models into production systems to provide real-time recommendations or forecasts;
• Creating interactive dashboards and reports using tools like Tableau, Power BI, Matplotlib, or Seaborn to present findings;
• Translating complex technical results into clear, actionable business recommendations for non-technical stakeholders.

• Experience with Data Visualization Tools;
• Familiarity with AWS, GCP, or Azure is essential for handling large datasets;
• Experience with Apache Spark/Kafka or Hadoop is often requested;
• Mastery of Pandas and NumPy for data processing;
• SQL is mandatory for querying relational databases;
• Proficiency knowledge of PySpark;
• Architect and implement scalable and secure data storage solutions in cloud environments (e.g., AWS, Google Cloud, Azure);
• High knowledge of Integrating data from various sources and ensure data accuracy and consistency across systems;
• Experience in deploying/configuring messaging-oriented middleware (e.g. Kafka, RabbitMQ) on cloud-hosting platforms;
• Experience of software integration, testing and release on cloud platforms using GitOps with technologies such as TeamCity, Tekton and ArgoCD;
• Strong analytical skills, ownership and the ability to communicate technical integration topics clearly to technical and non-technical stakeholders;
• Ability to proactively drive solutions and take ownership of tasks to deliver results;
• Customer orientation and ownership attitude for the assigned responsibilities to deliver results on time and in line with the clients needs;
• Excellent collaboration and communication skills;
• Ability to apply a risk-based approach to problem solving;
• High flexibility and adaptability to a fast-changing environment;
• Good team player with high ability to work in cross-locational and international teams;
• Good command of English in speaking and writing.

In return, we offer:

• Good work-life balance, including 25 days annual paid leave (increasing with 1 day per year up to 31 in total), flexible working hours, work-from-home and work from abroad opportunities;
• Luxury package of additional health and dental insurance;
• Food vouchers in the amount of EUR 80 monthly;
• 6 additional annual days off for exceptional circumstances
• Employee assistance program for psychological, financial and legal consultations;
• Multisport card;
• Annual contribution of EUR 153.39 net per child for a summer camp/school/kindergarten for children up to age of 15;
• Possibilities for building career-advancing skills by covering training/certification courses and conferences based on individual learning and development needs, access to an online learning platform;
• Opportunities for long-term professional development in a stable, 150-year-old company while contributing to the vision of a new, just starting Digital Technology Center;
• Friendly and supportive multicultural environment, open to new opinions and ideas.

Commerzbank is proud to be an equal opportunity employer, committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to gender, race, color, national origin, religion, gender identity or expression, sexual orientation, genetics, disability, age, or any other characteristics.

Learning Platforms; Children Summer Camp Contribution; Employee assistance program; 6 Exceptional Days Off; Food vouchers; 25 up to 31 annual paid leave; Multisport Card; Health& Dental Insurance; Work-life balance; Work internationally

Commerzbank is a leading international commercial bank with branches and offices in almost 50 countries. The world is changing, becoming digital, and so are we. We are leaving the traditional bank behind us and we are choosing to move forward as a digital enterprise.

As part of this strategy, Commerzbank continues the expansion of its Digital Technology Center in Sofia, Bulgaria. We need motivated people who will join us on this journey and we are looking for a Senior Data Scientist Engineer in our flexhub team.

Flexhub is Commerzbank's internal delivery capability a team of engineers, architects, analysts and experts working directly with business units. Unlike external consultancies, we are colleagues who stay. Based in Frankfurt, Sofia, and d, we drive high-priority initiatives while building internal expertise that lasts.

Apply now with your up-to-date CV in English!

Due to the high volume of applications, we contact only the candidates who best match the role requirements. If you do not hear from us within 14 days, please consider that we won't proceed with your application at this stage.