About The Role We are seeking a highly analytical and technically proficient Data Scientist to join our fastpaced Fintech product team You will leverage statistical analysis machine learning and potentially Generative AI to build impactful solutions that drive business outcomes such as risk modeling fraud detection and predictive analytics This is a highownership role where you will take responsibility for projects from initial problem scoping and data discovery through feature engineering model building validation and final deployment into production systems You will work closely with data engineers and analytics engineers to ensure the reliability of data pipelines feeding your ML workflows We require candidates with a strong foundation in computer science specifically from toptier institutions who are comfortable working in a modern productiongrade AI environment Key ResponsibilitiesEndtoEnd Model Development Model Building Design and develop sophisticated machine learning models for predictive analytics fraud detection and decisioning systems within the fintech domain Production Deployment Take full ownership of deploying models into production environments ensuring they are scalable robust and deliver measurable business value Performance Monitoring Implement continuous learning systems for model evaluation data refresh and retraining to maintain high predictive accuracy in production Data Pipeline Infrastructure Integration Collaboration Partner with Data Engineers to source clean validate and integrate data pipelines that feed into ML workflows Data Quality Perform rigorous data analysis preprocessing and feature engineering to ensure highquality input for model training Big Data Analytics Extract transform and analyze data from large data warehouses utilizing big data technologies CrossFunctional Collaboration Compliance Stakeholder Engagement Translate complex ambiguous business problems into concrete data science objectives and communicate insights effectively to drive action Data Governance Ensure all data handling and processing complies with internal standards and external financial regulations e g DPDP 2023 maintaining strict data privacy What We Are Looking ForEducation Strict Requirement Dual Degree B Tech M Tech in Computer Science OR Tier 1 B Tech A Bachelor of Technology B Tech degree exclusively from a Tier1 engineering institute in India Recognized Tier1 institutions include IITs e g Madras Delhi Bombay Kanpur Kharagpur Roorkee Hyderabad Guwahati NITs e g Trichy Surathkal Warangal Rourkela IIITs e g Hyderabad Bangalore Delhi Premier Institutes BITS Pilani Jadavpur University Experience Skills Experience 2 to 5 years of handson proven experience in a Data Science Applied ML or Decision Science role preferably within the Fintech or BFSI sector Programming Scripting Expertlevel proficiency in Python for ML and data manipulation and SQL for writing efficient complex queries Machine Learning Solid grounding in ML fundamentals statistical modeling hypothesis testing and experience with frameworks like ScikitLearn TensorFlow or PyTorch Latest Tech Stack Experience with modern data science environments e g Jupyter DSW cloud platforms AWS preferred and MLOps tools e g MLflow Kubeflow SageMaker Bonus Not Mandatory Familiarity with integrating LLMs or Generative AI workflows LangChain OpenAI APIs into production environments What We Offer Competitive Salary Up to 30 00 000 LPA based on interview performance and specific skill sets Impactful Work The opportunity to build core models that directly impact risk management and business revenue Work Environment Fulltime WorkfromOffice setup in our up-to-date Bangalore or Gurgaon locations to foster tight collaboration Skills data scientist learning models engineers analytics data science collaboration machine learning data ml fintech

📌 Data Scientist Fintech Applied ML (Gurugram)
🏢 HYrEzy Tech Solutions
📍 Gurugram