Senior Data Scientist- Hybrid (Chennai)

Senior Data Scientist- Hybrid (Chennai) Company: Ryewalk Job Location: Chennai, Tamil Nadu, India Employment Type: Full-time Experience Required: 4+ years About Ryewalk Salesforce Experts We don't just implement CRM solutions; we tailor Salesforce to fit your business, ensuring seamless adoption and maximum impact. Cloud Strategists We design and build cloud architectures in AWS that are robust, scalable, and Tech Trailblazers When technology challenges stall progress, we step in, streamline, and deliver. we turn data into insight and insight into actioncombining analytics, modeling, and decision science to drive smarter business decisions. If it's a complex tech challenge, we're the team that makes it work. About the Role We're looking for a Senior Data Scientist to help deliver data science and business analytics solutions for our fintech clients. Key Responsibilities You'll spend most of your time deep in the data building models, running analysis, and shipping work that clients act on while taking full ownership of your workstreams and helping level up more junior members of the team. Qualifications Deep technical craft you're excellent in the data and hold a high bar for your own work. If you love being close to the work, take pride in producing rigorous analysis, and enjoy turning messy Hands-On Data Science & Analytics Write SQL and Python, build models, run analysis, and create dashboards this is the core of the Design, build, and deploy end-to-end ML models for lending use cases such as credit scoring, risk assessment, default and early-warning prediction, fraud detection, and customer segmentation. Own the full modeling lifecycle: exploratory analysis, feature engineering, model selection, validation, and performance monitoring. Partner with client stakeholders to answer key business questions with data running ad hoc deep-dives and recurring analyses that inform product, risk, pricing, and operational decisions. Own portfolio and performance analytics tracking and explaining metrics such as application performance. Credit Risk Analytics to evaluate changes to credit policy, product, and pricing, and translate the Design intuitive Tableau dashboards and automated reporting that drive decisions across product, risk, and operations. Follow and help improve best practices for reproducible, scalable, production-ready work. Work directly with client stakeholders on your areas of the project, building trusted relationships Communicate progress clearly, surface risks early, and keep your work on track. Mentorship & Quality Mentor junior data scientists and analysts, sharing your expertise and helping them grow. Bring a quality-first mindset to your own work, and contribute to code, model, and dashboard reviews to help maintain a high bar across the team. Help unblock teammates and support them on both technical craft and communicating their work. 4+ years of hands-on experience in data science / business analytics, with a track record of owning meaningful workstreams and delivering high-quality work. Expert SQL for querying and shaping large-scale datasets. Strong Python for data analysis and ML modeling. Hands-on expertise with Tableau (or a similar BI tool) for dashboarding and reporting. Deep understanding of statistics, hypothesis testing, and data visualization best practices. Strong experience with ML libraries/frameworks (e.g., Experience taking ML models from prototype to production. non-technical and executive audiences, and comfortable presenting your work directly to clients. A quality-first mindset: strong attention to detail and pride in producing rigorous, reliable work. Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field. Background in fintech, credit risk, or lending a strong plus that will help you ramp quickly with the Experience mentoring junior data scientists or analysts. Experience with cloud data platforms (AWS, GCP, Azure). Familiarity with MLOps and model deployment pipelines. Experience in a consulting environment. Knowledge of Git, CI/CD, and modern data workflows. You've ramped up on the client's data and priorities, built valuable working relationships You're consistently shipping high-quality, high-impact work, trusted to run with Curiosity & Continuous Learning - You stay updated with the latest Data Engineering trends and technologies Ownership & Accountability - You take responsibility and drive projects to completion Love coding but also want to dabble in architecture Curious about Consulting At Ryewalk, you'll have the freedom to explore beyond your job title. Hybrid-Friendly & Flexible - We trust you to deliver without micromanagement. ( .