About Ryewalk At Ryewalk, we go beyond solving problems - we engineer smart, scalable solutions that drive business success. ● Salesforce Experts – We don’t just implement CRM solutions; we tailor Salesforce tofit your business, ensuring seamless adoption and maximum impact. ● Cloud Strategists – We design and build cloud architectures in AWS that are robust, scalable, and ready for the future. ● Tech Trailblazers – When technology challenges stall progress, we step in, streamline, and deliver. No jargon, no fluff—just outcomes that matter. If it’s a complex tech challenge, we’re the team that makes it workAbout the Role We are looking for a highly motivated Data Analyst / Data Scientist to join our team and help solve complex business challenges using data-driven insights. This role blends analytics, business intelligence, and advanced data science, giving you the opportunity to drive insights at every level - from operational reporting to predictive modeling. The ideal candidate is someone who enjoys working end-to-end with data: extracting, transforming, and analyzing large datasets, designing intuitive dashboards, generating actionable insights for business stakeholders, and building scalable machine learning models to improve decision-making.?Key Responsibilities Data Analysis & Business Intelligence ● Conduct comprehensive data analysis to identify trends, patterns, and opportunities within financial datasets ● Generate actionable business insights to support strategic decision-making across product, risk, and operations teams ● Perform statistical analysis and hypothesis testing to validate business assumptions ● Monitor key performance indicators (KPIs)



and financial metricsReporting & Visualization ● Design and develop interactive Tableau dashboards and reports for various stakeholders ● Create automated reporting solutions to track business performance and operational metrics ● Present complex data findings to both technical and non-technical audiences ● Maintain and optimize existing reporting infrastructureMachine Learning & Predictive Analytics ● Design, develop, and implement end-to-end machine learning models for various fintech applications (fraud detection, credit scoring, customer segmentation, risk assessment) ● Perform feature engineering, model selection, and hyperparameter tuning ● Deploy models into production environments and monitor model performance ● Collaborate with engineering teams to integrate ML solutions into existing systemsWhat We’re Looking For Must-Have: ● 2–4+ years of experience in business analytics / data science or a related role. ● Strong SQL skills for querying large-scale datasets. ● Proficiency in Python for data analysis and ML modeling. ● Hands-on experience with Tableau (or similar BI tools) for reporting/dashboarding. ● Solid understanding of statistics, data visualization best practices, and hypothesis testing. ● Experience with ML libraries/frameworks (e.G., scikit-learn, XGBoost, TensorFlow, PyTorch). ● Excellent communication skills to explain technical concepts to non-technical stakeholders. ● Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Nice-to-Have: ● Experience working with cloud data platforms (AWS, GCP, Azure). ● Exposure to MLOps / model deployment pipelines. ● Background in fintech, credit risk, or lending analytics.



● Knowledge of version control (Git), CI/CD, and modern data workflows.What Makes You a Great Fit ⭐ Problem-Solver Mindset - You enjoy tackling challenges and finding innovative solutions ⭐ Excellent Troubleshooting Abilities - You can quickly diagnose and resolve technical issues under pressure ⭐ Curiosity & Continuous Learning - You stay updated with the latest Data Engineering trends and technologies ⭐ Ownership & Accountability - You take responsibility and drive projects to completion ⭐ Collaboration & Communication - You work well across teams and can explain technical concepts clearly ⭐ Adaptability - You thrive in a dynamic environment and embrace change⭐ Proactive Approach - You anticipate challenges, take initiative, and suggest improvements before issues arise Why Ryewalk? ? Impact from Day One - As a startup, we move fast, make bold decisions, and your work truly matters. No red tape - just pure problem-solving and execution. Wear Multiple Hats (If You Want To!) - 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. Work With the Best - Join a team of smart, passionate, and hands-on tech pros who thrive on collaboration, innovation, and challenging the status quo. Grow at Startup Speed - Unlike rigid corporate hierarchies, here you get to learn, lead, and level up - fast. Hybrid-Friendly & Flexible - We trust you to deliver without micromanagement. (Yes, really!) Solve Real Problems - We work with clients who come to us with big, complex tech challenges - and we love cracking them. If you enjoy making a real impact, you’ll fit right in. Culture That Feels Like Home - Expect team-oriented brainstorming, inside jokes, and an environment where everyone has a voice.

📌 Data Scientist (Chennai)
🏢 Ryewalk
📍 Chennai