Senior Data Science Engineer (f/m/x)

DB Global Technology is Deutsche Bank’s technology center in Central and Eastern Europe. Since its set-up in 2013, Bucharest Technology Centre (BEX) has constantly proven its capacity to deliver global technology products and services, playing a dynamic role in the Bank’s technology transformation.

We have a robust, hands-on engineering culture dedicated to continuous learning, knowledge-sharing, technical skill development and networking. We are an essential part of the Bank’s technology platform and develop applications for many important business areas.

Corporate Banking is a technology centric business, with an increasing move to real-time processing, an increasing appetite from customers for integrated systems and access to supporting data. This means that technology is more important than ever for the business.  

Deutsche Bank is one of the few banks with the scale and network to compete aggressively in this space, and the breadth of investment in this area is unmatched by our peers. Joining the team is a unique opportunity to help rebuild the core of some of our most mission critical processing systems from the ground-up. 

Our Corporate Bank Technology team is a global team of 3000 coders (and growing!) across 30 countries. The primary businesses that Corporate Bank support are Cash Management, Securities Services, Trade Finance and Trust & Agency Services.  CB Technology support these businesses through CIO aligned teams and also by 'horizontals' such as Client Connectivity, Surveillance and Regulatory, Infrastructure, Architecture, Production, and Risk & Control.

We are seeking an experienced and motivated Senior Data Science Engineer to join our AI Tribe. This individual will be responsible for implementing cutting-edge data science solutions, leveraging their expertise to tackle complex business challenges and contribute to development and delivery targets. The ideal candidate has a strong technical background in data engineering and data science, a deep understanding of the latest methodologies and technologies, and a proven track record of delivering impactful results in a cloud-based environment, preferably Google Cloud Platform (GCP).

Responsibilities

• Deliver data science projects aligned with business objectives.
• Plan and implement key data science initiatives in a timely manner.
• Implement parts or the entire data science lifecycle, from data collection and preprocessing to model development, deployment, and evaluation.
• Demonstrate a deep understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Build and deploy predictive models, recommender systems, and other data driven solutions.
• Hands-on experience with big data technologies and cloud platforms, preferably GCP (including BigQuery, Dataflow, Dataproc, AI Platform, Airflow or similar).
• Effectively communicate complex technical concepts to both technical and non-technical audiences.
• Collaborate with cross-functional teams, including product management, engineering, and business stakeholders, to translate business requirements into data science solutions.
• Present findings and recommendations to managers.
• Stay abreast of the latest advancements in data science and machine learning.
• Explore and evaluate new technologies and methodologies to improve effectiveness and drive innovation.

Skills

• Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, or related field.

• 10+ years of experience in data science, analytics, or related field.

• Proven track record of developing and deploying data science solutions that have delivered tangible business impact.

• Strong programming skills in Python.

• Expertise in cloud computing platforms, with a strong preference for GCP (BigQuery, Dataflow, Dataproc, AI Platform). Experience with other cloud platforms (AWS, Azure) considered.

• Excellent communication, presentation, and interpersonal skills.

• Ability to work independently and as part of a team in a fast-paced environment.

• Experience in the financial services industry.

• Familiarity with data visualization tools (e.g., Tableau, Looker).

• Experience with MLOps practices and tools.

• 5+ years of experience in leading and managing data science teams.

Well-being & Benefits

Emotionally and mentally balanced:

• Empowering managers who value your ideas and decisions. Show your positive attitude, determination, and open-mindedness.

• A professional, passionate, and fun workplace with flexible Work from Home options.

• A modern office with fun and relaxing areas to boost creativity.

• Continuous learning culture with coaching and support from team experts.

Physically thriving:

• Private healthcare and life insurance with premium benefits for you and discounts for your loved ones.

Socially connected:

• Enjoy retailer discounts, cultural and CSR activities, employee sport clubs, workshops, and more.

Financially secure:

• Competitive income, performance-based promotions, and a sense of purpose.

• 24 days holiday, loyalty days, and bank holidays (including weekdays for weekend bank holidays).

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.