Data Scientist II : Experience : 2 - 4 years.About Setu : At Setu, we believe "Every Day is Game Day." We bring our best selves to work each day to realize our mission of enriching the world through the power of digital commerce and financial services.About the Role : At Setu, we believe that every company can become a fintech company. Any tech - enabled business that wants to offer or build financial products can consume Setu APIs. Our Data Science team is working on understanding the financial behaviour of 1.4 billion Indians across a broad spectrum of fintech sectors - including personal lending, collections, personal finance management (PFM), and BBPS. we are building the intelligence layer for the future of fintech. As a Data Scientist II, you will explore, experiment, and build critical, scalable, and high - value data science solutions. This role offers the opportunity to solve challenging problems while working on data that can directly influence financial products and customer experiences.We are constantly pushing the boundaries of data science to drive business growth, improve customer experiences, and streamline operational processes. Computer Vision- Tabular Data- Natural Language Processing (NLP)- Generative AI- Credit Risk and Alternate Data- Financial transaction intelligenceFor example, our Sesame model understands bank transactions with state - of - the - art accuracy. As part of the team, you will : - Translate business problems into data science and machine learning solutions.- Build, validate, and iterate on machine learning models.- Develop scalable data pipelines and features using Python/PySpark.- Work on model deployment and contribute to production - grade ML systems.- Experiment with new approaches and techniques across different data science domains.- Measure model performance and continuously improve solutions based on business outcomes.Consistently creates value for customers and stakeholders through high - quality outcomes.- Can independently take a problem from business understanding through modelling, experimentation, deployment, and monitoring.To excel in this role, you should have : - A Bachelor's or Master's degree in Engineering or an equivalent discipline.- 2+ years of experience in Data Science / Machine Learning.- Prior experience with one or more of the following : 1. BBPS data exploration.Alternate data credit risk models.Bank statement / financial transaction data.Alternate data for lenders or NBFCs.Relevant fintech or financial services use cases.- Hypothesis testing.Machine learning techniques.Tree - based algorithms such as Random Forest and XGBoost.Experience independently converting business problems into ML models and taking them through their lifecycle.- Experience with financial sector modelling, preferably in a startup or fast - paced workplace.- Experience working with unstructured, noisy, or messy data.- Hands - on experience deploying models to production, or strong experience through relevant self - driven projects.- Strong Python programming skills.- Experience building data pipelines using Python and/or PySpark.- Strong experience with feature engineering.- SQL.4. Good to Have : - Understanding of DevOps/MLOps practices.- Experience creating Docker containers and deploying models to production.- Experience with platforms such as Amazon SageMaker or Kubernetes.- Experience with deep learning techniques.- Exposure to LoRA fine - tuning and Generative AI.At Setu, you will have the opportunity to : - Work closely with the founding team that has built and scaled public digital infrastructure such as UPI, GST, and Aadhaar.- Work on challenging problems at the intersection of technology, data, and financial services.- Use our learning and development allowance for subscriptions, courses, certifications, music classes, and more.When you demonstrate these six behaviours, you demonstrate "Every Day is Game Day."- Join Us : Join Setu if you want to be part of a company building infrastructure that directly impacts financial inclusion and improves millions of lives. Every Day is Game Day. (

📌 Data Scientist (Python, ML, SQL) (Bengaluru)
🏢 Setu
📍 Bengaluru