About Us
For three decades, Angel One has been making investing and wealth creation more accessible and engaging for Indians. Today, millions of customers trust Angel One across investing, trading, wealth creation, and credit. We are one of the best fintech platforms building simple, intelligent and seamless financial experiences for millions of users across the country. From investing and trading to wealth creation and credit, everything we build is focused on making financial journeys easier, faster, more accessible and engaging. We believe strong fundamentals matter, in investing, in technology and in the way we build our teams. Trust, simplicity, speed and long-term thinking shape how we work and what we build. Here people work on real problems at real scale. Millions of users interact with our platform every day, and every team plays a role in shaping that experience. We move fast, take ownership and keep learning along the way. No matter the role, people here are encouraged to share ideas, challenge the usual and build things that create real impact. If building for the next generation of India excites you, let’s chat Job Title: Lead Data Scientist

Location:
Bengaluru, Karnataka Role Overview: As a Lead 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 enhance User Quality Scoring models using classical statistical methods and deep learning architectures.
• Build robust predictive models to estimate Customer 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 forecast User Churn based on user behavioral data.
• Engineer personalized Product and Feature Recommendation systems employing deep neural network embedding techniques and collaborative filtering methods.
• Leverage analytics and classical machine learning techniques for strategic Cross-Selling and Up-Selling of financial products.
• Create predictive frameworks assessing Loan Risk and Recoverability using advanced statistical modeling and deep learning techniques.
• Develop sophisticated NLP-driven Chat Bots using 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 interpret User Trading Behaviors based on market analytics, macroeconomic trends, and news sentiment.
• Segment and classify users based on their App Interactions and Behavioral Patterns, integrating classical clustering methods and deep neural classification models.
• Optimize and fine-tune Performance Marketing Campaigns using 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.
• Skilled

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. At Angel One, our thriving culture is rooted in Diversity, Equity, and Inclusion (DEI). As an Equal opportunity employer, we wholeheartedly welcome people from all backgrounds irrespective of caste, religion, gender, marital status, sexuality, disability, class or age to be part of our team. We believe that everyone's unique experiences and viewpoints make us stronger together. Come and be a part of #OneSpace*, where your individuality is celebrated and embraced.

📌 Lead Data Scientist (Bengaluru)
🏢 Angel One
📍 Bengaluru