About Angel one :Angel One Limited is a Fintech company providing broking services, margin trading facility, research services, depository services, investment education and distributes third party financial products to its clients, on a mission to become the No. 1 fintech organization in India. With over 2 crore+ registered clients, we are onboarding an average of over 900k new clients every month in the current financial year. We are working to build personalized financial journeys for our clients via a single app, powered by new-age tech, AI, Machine Learning and Data Science.We have a flat structure, with ample opportunity to showcase your talent and a growth path for engineers to the very top. We are aggressively hiring Engineers, Product Managers & Data science rockstars across India. Join our team and experience the best of both worlds at Angel One! Check out our careers section!Job Title:Staff Data ScientistLocation:Bengaluru, KarnatakaRole Overview:As a Staff Data Scientist, you will leverage your expertise in classical modeling, deep neural networks, and Generative AI/LLMs to solve complex, data-intensive business problems. You will collaborate closely with product, marketing, engineering, and leadership teams, significantly contributing to Angel One's growth through advanced, hands-on analytics and machine learning initiatives.Key Problem Areas You'll Tackle:Develop and enhanceUser Quality Scoring modelsusing classical statistical methods and deep learning architectures. Build robust predictive models to estimateCustomer Lifetime Value (LTV)utilizing deep neural networks and classical regression techniques. Design and implement predictive analytics solutions, including sequential deep learning models (e.g., LSTM, GRU) to accurately forecastUser Churnbased on user behavioral data. Engineer personalizedProduct and Feature Recommendation systemsemploying deep neural network embedding techniques and collaborative filtering methods. Leverage analytics and classical machine learning techniques for strategicCross-Selling and Up-Sellingof financial products. Create predictive frameworks assessingLoan Risk and Recoverabilityusing advanced statistical modeling and deep learning techniques. Develop sophisticated NLP-drivenChat Botsusing Generative AI/LLM models for improved customer interactions across product support, recommendations, pre-sales, and FAQs. Apply classical time-series modeling, deep learning, and Generative AI to predict and interpretUser Trading Behaviorsbased on market analytics, macroeconomic trends, and news sentiment. Segment and classify users based on theirApp Interactions and Behavioral Patterns , integrating classical clustering methods and deep neural classification models. Optimize and fine-tunePerformance Marketing Campaignsusing deep neural networks, classical model optimization, and Generative AI-driven experimentation for scalable user acquisition.Required Skills & Qualifications:Technical Expertise:Demonstrated hands-on proficiency in Python, SQL, machine learning frameworks (TensorFlow, PyTorch), Generative AI (e.g., OpenAI, Hugging Face), and classical analytics tools. Deep Learning & Gen AI:Proven experience in building deep neural network models (CNN, RNN, Transformers) and leveraging Generative AI / Large Language Models (LLMs) for NLP and predictive analytics. Predictive Modeling:Strong background in classical statistical modeling and machine learning techniques (regression, clustering, classification). NLP & Chatbot Development:Hands-on experience developing and deploying NLP models and conversational AI solutions. Marketing Analytics:Deep understanding of digital marketing strategies, performance optimization, and customer acquisition analytics using classical and neural network models. Data Visualization & Reporting:Ability to clearly communicate analytical insights through intuitive visualizations (Tableau, Power BI, etc.). Analytical Thinking:Strong analytical mindset with the capability to transform complex datasets into actionable insights. Educational Background:Bachelors in Computer Science, Master's (preferred) or PhD in Statistics, Computer Science, Mathematics, Economics, or related quantitative field. Professional Experience:Minimum of 6+ years of experience in data science, predictive analytics, or related fields, preferably within fintech, trading, banking, or e-commerce sectors, with demonstrated hands-on experience in classical models, deep learning, and Generative AI applications.Why Join Angel One?Engage in cutting-edge analytics using state-of-the-art deep learning, Generative AI, and classical modeling approaches. Collaborate with talented, multidisciplinary teams committed to innovation and excellence. Benefit from continuous professional growth opportunities in a rapidly evolving fintech landscape.
Job Title
Staff Data Scientist