Title: Data Scientist – Financial Services

Location: Hyderabad, India

Company: Blend360

About the Role:

Blend360 is seeking a highly skilled Data Scientist to join our team in Hyderabad, India. This role will support our financial services client in developing machine learning models, statistical analysis, and data-driven solutions for credit risk, fraud detection, customer segmentation, and marketing analytics. The ideal candidate will have strong experience in Python, SQL, machine learning, big data processing, and cloud platforms like AWS or GCP. You will work closely with data engineers, analysts, and business stakeholders to transform complex financial data into actionable insights.

Key Responsibilities:

• Design, develop, and deploy machine learning models for risk assessment, customer segmentation, and personalized recommendations.
• Utilize supervised and unsupervised learning techniques, including regression, classification, clustering, and anomaly detection.
• Implement NLP models for text-based financial data analysis, fraud detection, and automated customer interactions.
• Develop and optimize time series forecasting models for credit risk and financial trend analysis.
• Build scalable data pipelines for preprocessing, feature engineering, and model deployment using PySpark, Apache Airflow, or Prefect.
• Work with big data technologies such as Hadoop, Spark, and Databricks to handle large-scale financial datasets.
• Optimize SQL queries and work with relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL databases (MongoDB, Cassandra).
• Develop API-based integrations for real-time data ingestion and model inferencing using FastAPI, Flask, or Django.
• Deploy models in AWS Sagemaker, Vertex AI, or MLflow, ensuring efficient scaling and monitoring.
• Utilize A/B testing and experimentation frameworks to validate model performance and impact.
• Develop interactive dashboards and visualizations using Tableau, Power BI, or Streamlit to communicate insights to business stakeholders.
• Stay updated with the latest advancements in deep learning (PyTorch, TensorFlow), reinforcement learning, and generative AI to enhance model capabilities.
• Collaborate with data engineers and MLOps teams to implement CI/CD pipelines for model deployment.

Required Qualifications & Skills:

• 3-7 years of experience in data science, machine learning, or AI, preferably within financial services.
• Strong programming skills in Python, SQL, and experience with Jupyter Notebooks, Git, and Docker.
• Expertise in machine learning libraries such as Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
• Experience working with cloud platforms (AWS, GCP, or Azure) for model deployment and data processing.
• Proficiency in big data processing tools like Spark, Hive, and Databricks.
• Solid understanding of statistics, probability, and mathematical optimization techniques.
• Familiarity with graph analytics, knowledge graphs, and network-based fraud detection is a plus.
• Experience in financial modeling, credit risk analytics, or fraud detection is highly desirable.
• Strong problem-solving skills and ability to translate business challenges into analytical frameworks.

Preferred Skills:

• Experience with AutoML frameworks like H2O.ai, DataRobot, or Google AutoML.
• Knowledge of quantitative finance, derivatives modeling, or algorithmic trading.
• Exposure to blockchain analytics and decentralized finance (DeFi) models is a plus.
• Ability to work with streaming data using Kafka, Flink, or Apache Pulsar.

Why Join Blend360?

• Work with top-tier financial clients on cutting-edge data science projects.
• Collaborate with a global team of data scientists, engineers, and industry experts.
• Access to latest AI tools, cloud platforms, and big data technologies.
• Competitive compensation, benefits, and career growth opportunities.

If you're passionate about data science, AI, and financial analytics, and want to work on high-impact projects, apply now and be part of Blend360's data-driven innovation team!