Data Scientist / AI Engineer, AVP

Deutsche Bank AG; Bengaluru; On-site; INR 3,600,000 - 6,000,000; Full time

Benefits offered by this job

Best-in-class annual leave policy

Gender-neutral parental leaves

Childcare assistance reimbursement

Certifications and education support

Employee Assistance Program

Hospitalization Insurance for you and/

Accident and term life Insurance

Health screening 35+ years

Job summary

Deutsche Bank AG is seeking a Data Scientist / AI Engineer (AVP) to drive development of AI solutions for Corporate Banking and Investment Banking Operations and Controls. You will work with a cross‑functional team across CBIBOC, IT (TDI), and Deutsche Bank globally to deliver scalable AI platforms and data products.

You will lead end-to-end AI projects, including design, development, testing, validation, and monitoring, while aligning with governance, security, and ROI targets.

Qualifications

• Experience with classical ML methods and modern AI tools in production environments.
• Proficiency with data science/dev tools listed in the job description.
• Experience using no-code/low-code AI tools to rapidly build AI solutions.
• Strong data engineering knowledge and familiarity with modern data platforms.

Responsibilities

• Lead adoption of AI and analytics best practices across CBIBOC and Deutsche Bank teams.
• Stay updated on trends in data warehousing, BI, and cloud analytics, esp. Google Cloud.
• Ensure AI governance per bank policy and regulatory requirements; provide demos and training.
• Hands-on development of AI solutions; design, build, test, validate, and monitor implementations.

Skills

Machine Learning

Python

AI Tools

SQL

Java

No-code AI

Data Platforms

Tools

Github

VS Code

PyTorch

TensorFlow

scikit-learn

MLflow

Weights & Biases

Jupyter Notebook

Hugging Face

Langchain

Langgraph

Google Vertex

Neo4J

Job description

Job Description: Job Title: Data Scientist / AI Engineer, AVP Location: Bangalore, India Role Description Driving the creation of new AI solutions for Corporate Banking and Investment Banking Operations and Controls (CBIBOC). As Deutsche Bank enters into a phase where a variety of data and AI development tools are becoming more accessible, we are seeking a Data Scientist / AI Engineer to help drive the implementation of the Corporate Banking and Investment Banking Operations and Controls data, AI and analytics strategy. The role holder will report up to the Head of Data Science and AI Engineering for Corporate Banking and Investment Banking Operations and Controls, and will be a key part of a collaborative, respected and growing team consisting of Data Scientists / AI Engineers, Product Managers, data experts, and transformation leads (~20 individuals based in London, Bangalore, and New York). The role holder will be expected to contribute to the design, development and implementation of new AI solutions for stakeholders across CBIBOC. These solutions will vary in terms of complexity, but all will have the goal of simplifying and accelerating Operations and Controls activities, achieving cost save targets, and driving revenue growth. The design and development of new AI solutions will be done in collaboration with staff from IT (TDI) and other teams across CBIBOC and Deutsche Bank more broadly. Development activities will range from the use of no-code / low-code platforms (e.g. to build new workflow automations or multi-agent solutions) to the engineering of new data products, models, and scalable AI solutions in collaboration with IT.

Your Contribution: You will be instrumental in shaping the future of the CB IB operations and controls landscape by re-imagining how existing processes could be improved using AI, and driving the development of new solutions to make this vision a reality. Its key responsibility is to support the rapid turnaround of new AI solutions to enhance efficiency, increase effectiveness, and drive business growth.

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy:

• Best-in-class annual leave policy
• Gender-neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender-neutral)
• Sponsorship for industry-relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive hospitalization Insurance for you and your dependents
• Accident and term life Insurance
• Complementary health screening for 35 yrs. and above

Your key responsibilities

• Leadership (5%): Help drive the adoption of AI and analytics best practice across CBIBOC, IT (TDI), and Deutsche Bank more widely
• Stay abreast of industry trends and emerging technologies in data warehousing, business intelligence, and cloud analytics, particularly within the Google Cloud Platform ecosystem.
• Stakeholder Management and Governance (20%): Ensure AI governance requirements, as mandated by bank policy, regulation, or law, are adhered to for all new solutions developed Provide demos of new solutions, training materials, slides, and other materials as required to support the CBIBOC communication and upskilling agenda
• Hands-on Development of AI Solutions (75%): Lead by example, working with other Squad members to design, develop, and implement novel AI solutions Partner with business stakeholders and other Squad members to understand their needs and priorities, and identify new opportunities for the development or use of AI solutions Ensure new AI use cases (Squad projects) are rigorously evaluated and prioritized based on expected ROI, strategic alignment, technical feasibility and risk Ensure all new AI solutions are thoroughly tested, validated, controlled (e.g. implementation of guardrails, access permissions, etc.), and monitored on an ongoing basis Ensure all new AI solutions are recorded in a centralized inventory and brought through the required approval steps prior to production implementation Track against agreed KPIs to demonstrate the effectiveness and value of each AI solution (e.g. costs and benefits as well as accuracy/consistency/performance)

Your skills and experience

• Demonstrable experience using classical Machine Learning algorithms/models and/or cutting-edge AI tools to deliver new solutions into production, ideally at a tier 1 / G-SIB bank
• Demonstrable experience using Data Science / AI developer tools and platforms such as: Github, VS Code, PyTorch, TensorFlow, scikit-learn, MLflow, Weights and Biases, Jupyter Notebook, Hugging Face, Langchain, Langgraph, Google Vertex, Neo4J, etc.
• Experience using no-code / low-code AI tools to rapidly generate new AI and automation solutions (e.g. Microsoft AI Builder / Power Automate, Google AI Studio, Claude Cowork, etc.)
• Experience with data / feature engineering and modern data solutions such as BigQuery, Looker, PostgreSQL, Pinecone, Spark, Clickhouse, MongoDB, Redis, Databricks, Denodo, Snowflake, etc.
• Strong knowledge of current best practice for AI risk management across the solution lifecycle, and how to leverage technology to implement these controls (e.g. from development, testing, and validation of new solutions to setting access controls/permissions, implementing guardrails, and automating performance monitoring and reporting / dashboards)
• Ability to write / review Python code and experience using AI coding assistants (Claude Code, Github Copilot, etc.).
• SQL and Java experience desirable but not essential.
• The desire to grow and learn, keep up with the latest developments and new AI offerings emerging across the industry, and progress their Data Science / AI career.
• Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

How we’ll support you

• Training and development to help you excel in your career
• Coaching and support from experts in your team
• A culture of continuous learning to aid the progression of your career
• A range of flexible benefits that you can tailor to suit your needs

About us and our teams

Please visit our company website for further information: https://www.db.com/company/company.html 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. For over 150 years, our dedication to being the Global Hausbank for our clients has been driven by our people – in around 60 countries and across more than 150 nationalities. Their deep understanding, insights, expertise, and passion help our clients navigate an increasingly complex world – be it in our Corporate Bank, our Private Bank, our Investment Bank or our Asset Management (DWS) division. Together we can make a great impact for our clients at home and abroad, securing their lasting success and financial security. More information at: Deutsche Bank Careers (db.com)