Senior Data Scientist, AVP

Job Description:Job Title: Senior Data Scientist, AVPLocation: Pune, IndiaRole DescriptionThe Deutsche India is seeking a talented and driven Senior Data Scientist to join our growing team. At the Service Solutions and AI Domain, our mission is to revolutionize our Private Bank process landscape by implementing holistic, front-to-back process automation. And being a Private Bank AI Centre of Excellence we are responsible for strategy building and execution of AI innovation, governance, and delivery across Private Bank, ensuring standardization, compliance, and accelerated adoption of AI solutions. We are dedicated to leveraging the power of data to drive innovation, optimize operations, and deliver exceptional value to our customers. We are committed to enhancing efficiency, agility, and innovation, with a keen focus on aligning every step of our process with the customers needs and expectations. Our dedication extends to driving innovative technologies, such as AI & workflow services, to foster continuous improvement. We aim to deliver best in class solutions across products, channels, brands, and regions, thereby transforming the way we serve our customers and setting new benchmarks in the industry.As a Senior Data Scientist, you will play a pivotal role in the full lifecycle of data science projects, from strategic problem definition and advanced data acquisition to robust model deployment and continuous performance monitoring. We are seeking a highly skilled and motivated individual with deep expertise in traditional data science methodologies, coupled with practical experience and a keen interest in Generative AI, Large Language Models (LLMs), Agentic AI, and Transformer architectures. You will work closely with cross-functional teams, including product managers, engineers, and business stakeholders, to identify transformative opportunities for data-driven and AI-powered solutions, translating complex business needs into innovative technical requirements. We are looking for someone passionately dedicated to uncovering hidden patterns in data, developing state-of-the-art solutions leveraging both conventional and Generative AI to solve various business problems, and effectively communicating complex findings to both technical and non-technical audiences.What well offer you:As part of our flexible scheme, here are just some of the benefits that youll enjoyBest in class leave policyGender neutral parental leaves100% reimbursement under childcare assistance benefit (gender neutral)Sponsorship for Industry relevant certifications and educationEmployee Assistance Program for you and your family membersComprehensive Hospitalization Insurance for you and your dependentsAccident and Term life InsuranceComplementary Health screening for 35 yrs. And aboveYour key responsibilitiesStrategic Problem Framing & Generative AI Opportunity Identification:Business Problem Definition: Define and frame complex business problems into clear, actionable data science questions, actively identifying and exploring opportunities where Generative AI, LLMs, and Agentic AI can deliver significant business value.Data Source Identification: Strategically identify and evaluate the most relevant data sources to address defined business and AI problems.Advanced Data Management & Preparation:Data Acquisition & Wrangling: Oversee and execute the collection, cleaning, and preprocessing of large and complex datasets from various internal and external sources, ensuring high data quality and readiness for both traditional ML and advanced Generative AI applications.Statistical Foundation & Data Understanding:Statistical Understanding: Apply basic and advanced statistical understanding to thoroughly analyze and interpret data, ensuring robust insights and model validity.Exploratory Data Analysis (EDA): Perform in-depth exploratory data analysis to understand data characteristics, identify critical trends, and formulate robust hypotheses for model development.Cutting-Edge Algorithm & Generative Model Development:Algorithm Research & Implementation: Drive research and implementation of suitable Machine Learning (ML) algorithms and tools, staying at the forefront of the latest ML and Generative AI research. This includes selecting and customizing the most effective algorithms for specific business challenges, with a strong emphasis on Transformer-based architectures (e.g., BERT) and Large Language Models (LLMs).Model Development & Evaluation: Architect, develop, implement, and rigorously evaluate advanced machine learning models (e.g., supervised, unsupervised, reinforcement learning) and Generative AI models (including LLMs and Agentic AI implementations) to solve complex business problems, ensuring high performance, scalability, and interpretability. This includes specialized evaluation for generative outputs.Experimentation & Impact Measurement:Experiment Design & Hypothesis Testing: Design and execute sophisticated experiments to test Job