Details of the Division and Team:

We are seeking a dedicated and experienced individual to join our team as a Data Scientist supporting the Emerging Markets (EM) region. The successful candidate will be responsible for delivering advanced analytics and data-driven insights to support strategic decision-making and operational efficiency across EM markets.

You will act as the primary point of contact for all data science initiatives within the region, ensuring timely delivery of high-quality models, dashboards, and analytical solutions. Your role will involve collaborating closely with regional stakeholders and global teams to understand business requirements, translate them into actionable data solutions, and proactively identify opportunities for optimization. Based in Singapore, you will work with cross-functional teams to ensure data integrity, resolve analytical challenges quickly, and escalate any systemic issues that could impact multiple markets.

What we will offer you:

A healthy, engaged and well-supported workforce is better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That's why we are committed to providing an environment with your development and wellbeing at its center.

You can expect:

• Flexible benefits plan including virtual doctor consultation services
• Comprehensive leave benefits
• Gender Neutral Parental Leave
• Hybrid working arrangement
• 25 days of annual paid leave, plus public holiday
• A culture of continuous learning to aid progression

Your key responsibilities:

• Collaborate with EM region stakeholders to identify data needs and translate them into actionable insights.
• Design and implement data models and pipelines using tools such as Python, SQL, and Google Cloud Platform.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
• Build and fine-tune machine learning models for the regional use cases.
• Implement algorithms for personalization and anomaly detection aligned with compliance requirements.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.
• Ensure robust documentation of data processes, standards, and controls in line with the Bank's data governance policies.
• Participate in Agile ceremonies and contribute to sprint planning, backlog grooming, and delivery cycles.
• Support the rollout of data science and AI initiatives and ensure alignment with regional and global data strategies.

Your skills and experience:

• Bachelor's or Master's degree in Data Science, Data Analytics, Computer Science, or a related field, with a minimum of 3 years of professional experience as a Data Scientist or Data Engineer.
• Proficient in Python, with a strong command of advanced syntax, popular libraries (e.g., Scikit-Learn), and the ability to extend existing structures. Exhibits proficiency in Object-Oriented Programming (OOP) by implementing S.O.L.I.D. principles and in data structures & algorithms by analyzing complexities and making efficient choices (e.g., Numpy vs. Pandas).
• Demonstrates expert-level knowledge in the theoretical and practical application of machine learning. This includes mathematical understanding of both traditional and deep learning algorithms, expert skill in hyperparameter optimization, and the ability to evaluate model performance using task-specific losses and scores. Possesses an expert grasp of the underlying mathematics and statistics essential for AI/ML, including distributions, statistical methods, and probability theory.
• Demonstrates basic knowledge and practical experience in core software engineering practices, including navigating operating systems, programming and querying languages (e.g., Java, SQL), version control (e.g., Git), development methodologies (Agile, Waterfall), CI/CD concepts (e.g., Jenkins), testing principles, and monitoring. Possesses a foundational understanding of design patterns, software architecture, and core cloud technologies (e.g., GCP, AWS, or Azure).
• Capable of conducting code reviews for team members if needed. Shows proficiency in the end-to-end data lifecycle, including advanced data engineering across traditional and cloud databases with a focus on query optimization. Highly skilled in data preprocessing, from comprehensive cleaning and encoding to advanced feature creation. A proficient communicator, capable of translating complex technical findings into clear, influential data stories for diverse audiences, including senior leadership. Possesses a foundational ability to create data visualizations (e.g., using Tableau) to support insights.
• Leverages proficient knowledge of Deep Learning and Natural Language Processing (NLP) to execute advanced tasks such as classification, entity recognition, and summarization. Experienced in using various neural architectures and evaluating performance with task-specific metrics (e.g., ROUGE). Skilled in effectively utilizing large pretrained models through techniques like transfer learning and prompt optimization.
• Strong analytical and problem-solving skills with a data-driven mindset.
• Ability to apply advanced techniques such as Graph Neural Networks, model risk management. Excellent communication skills, both written and verbal.
• Ability to work independently and collaboratively in the context of global cross-functional teams.
• Familiarity with Agile methodologies and user story documentation.

About us and our teams:

Deutsche Bank is the leading German bank with strong European roots and a global network. click here to see what we do.

Deutsche Bank & Diversity

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.