Senior Data Scientist

Job Description:

About Banking Processes and Operations

As part of our ongoing digitalization transformation, we are optimizing and redefining the way that banking processes are handled. We are implementing advanced workflow management systems to streamline operations, reduce manual tasks, and boost efficiency.

AI and Advanced Optimization Algorithms play a crucial role in this transformation.

Your profile

Experienced Data Scientist with experience in Operations Baking Sector, able to conduct research, generate requirements, solution design, technical concepts and architectures and delivery of solutions. Capable of managing teams and projects.

We`ll trust you to:

• Conceptualize and design ML models to optimize and transform bank processes in the Operations Area
• Contribute on both technical and business process transformation by introducing data science & ML/AI with focus on language models, pattern recognition, forecasting, optimization methods and reinforcement learning agents.
• To come with a good understanding of the current software development state of the art and contribute to architectural design of the automation of processes and workflows workflows in a microservice environment.
• Understand and translate business requirements into technical concepts; run experiments, research and implement appropriate ML algorithms and tools to solve them or to gain new insights into available data
• Develop relevant visualizations, either as part of exploratory data analysis or to show results using relevant libraries and/or BI tools such as Tableau
• Ensure that the results of the models are robust, comparable and maintainable over time
• Monitor performance of the models in production; ensure no degradation occurs below established metrics and retrain when needed
• Work with Data Engineers to deploy and maintain models in production or to analyze/build data pipelines for new data sources
• Help create a culture of learning and continuous improvement within your team and beyond
• Actively support the business strategy, plan and value, contributing to the achievement of a high-performance culture
• Take ownership for own career management, seeking opportunities for continuous development of personal capability and improved performance contribution.
• Perform knowledge sharing sessions and workshops to further shape the future of processes within operations

We`d love you to bring:

• In-depth knowledge of mathematics, statistics and algorithms.
• Ability to write robust code in Python and use version control systems such as Git
• Proficiency in Data Science:
• Reflex Models - Supervised Learning/ Unsupervised Learning Methods for Regression and Classification; Gradient Boosting Models (LightGBM, XGBoost), Deep Learning Architectures with Neural Networks (ConvNets, Attention Models - Transformers, Recurrent Layers - GRU, LSTM
• State Based Models - Markov Decision Process - Reinforcement Learning and Deep Reinforcement Learning
• Variable Based Models - Constraint Satisfaction Problem - Large Scale Optimization Methods with Non-Linear Programming and Mixed Integer Linear Programming
• Advanced Topics: Meta Learning and Multitask Learning, Transfer Learning, NLP, Large Language Models, Generative AI, Fine Tuning and Few Shot Learning
• Python Libraries and Frameworks: scikit-learn, pytorch, keras, tensorflow, transformers, scipy, numpy, pandas, h5py, hyperopt, pyomo, ipopt, rlutil, lightgbm, langchain, huggingface
• Proficiency in Software Development with Python:
• Microservices Arhitecture and Environment: Flask, Django, FastAPI with Design Patterns and Security Frameworks
• CI/CD with Jenkins/Teamcity
• Kubernetes/Docker Platform
• Experience with training, evaluation and deployment of ML models
• Good knowledge of working with various data structures and formats
• Experience with Ops Transformation in banking sector
• Data Driven – decision making approach for process optimization and analysis
• Recommended experience with GCP, AWS or Azure Platform for Big Data and ML/AI Capabilities
• Good knowledge of Unix/Linux environments
• Awareness/information about DevOps practices like CI/CD
• Excellent communication skills
• Fluent in German (Speaking and writing)
• Ability to work in a team
• Outstanding analytical and problem-solving skills
• Structured and intrinsically motivated way of working
• Capability to work in a fast paced and changing environment

Nice to haves:

• Graduated AI, Data Science, ML, NLP, Statistics courses/certifications from a major university
• Banking Certification from a major university
• Hands on knowledge of Shell Scripting
• Experience working in an Agile setup, practicing Scrum or Kanban
• Familiarity with Atlassian stack: Jira, Confluence, Bitbucket
• Familiarity with Elastic Search
• Familiarity with Camunda 7 and 8
• Familiarity with Kafka Event Streaming Methodology

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.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.