Senior Data Scientist (AI/ML) in India, India - Jobeax
Vacancy description
Senior Data Scientist (AI/ML) in India, India
Cashera
India, India
Senior Data Scientist (AI/ML) in India, India is listed on Jobeax. Browse 30,000+ vacancies available.
About Cashera Cashera is a fast-growing fintech and lending company that provides funding solutions to businesses across multiple industries in the United States and UK. Cashera combines technology, data-driven decision-making, and industry expertise to deliver fast, flexible financing options that traditional lenders often cannot provide.
As a Senior Data Scientist on the Credit & Fraud Risk Team, you will take ownership of the end-to-end lifecycle of predictive machine learning models. You'll play a foundational role in building systems that evaluate borrower creditworthiness, mitigate operational loss, and intercept real-time fraud vectors. This is a business-critical position reporting directly to Risk and Data Science Leadership, collaborating closely with Engineering, Product, Collections, and Finance teams.
Build, evaluate, and scale predictive models using XGBoost, LightGBM, and Deep Learning for underwriting, credit line assignment, and collections. Familiarity with gen-AI techniques for feature creation and transaction tagging on bank transactional data is a plus.
Credit Risk Modeling: Build credit risk models for sub-prime and near-prime customers in a fintech environment with short model build cycles.
Fraud & Risk Defense: Design and deploy real-time decisioning rules and ML systems to detect synthetic fraud, digital identity theft, account takeovers, and transactional fraud.
Feature Engineering: Mine complex, large-scale, and alternative data streams (bank transactional data, logs, credit bureau reports, structured/unstructured digital signals) to extract predictive signals.
Partner with Credit Risk Strategists to translate model outputs into actionable credit limits, cutoff thresholds, and loss-forecasting simulations.
Platform Architecture: Collaborate with Data Platform Engineers to build reliable pipelines and high-throughput feature extraction.
Raise the technical bar through peer reviews, reusable tooling, and pro-active communication to risk leadership and partners.
in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Data Science) or equivalent practical experience.
Experience: 2–4 years of Data Science experience, ideally including 3+ years focused on Credit Risk, Fraud Analytics, Lending, or Fintech.
Production-grade fluency in Python and advanced, highly analytical SQL.
Modern Stack Experience: Hands-on experience scaling data workflows over frameworks like Snowflake, Databricks, Spark, dbt, or similar platforms.
ROC-AUC curves, model drift scenarios) to non-technical stakeholders.
We are building a team around a Senior Data Scientist role focused on measurable AI outcomes through statistical analysis, machine learning, and NLP. You will work across the full lifecycle, from preparing data to deploying models, coordinating closely with multiple stakeholders. Responsibilities Deliver AI solutions such ...
... version control and code review. - Strong SQL skills and a successful track record of manipulating, processing and extracting value from large and heterogeneous datasets. - Practical experience developing AI/ML or generative-AI solutions, including prompt design, structured outputs and systematic evaluation. - Working knowledge ...
... problems and translate ML capabilities into measurable outcomes Communicate technical concepts, tradeoffs, and results to non-technical audiences, including senior leadership and clients Mentor junior data scientists and contribute to team standards around code quality, experimentation, and responsible AI Advanced degree ...
Role Summary : The Senior Data Scientist will lead advanced analytics initiatives, leveraging AI/ML, Generative AI (GenAI), and Agentic AI to deliver decision intelligence solutions. This role involves designing solutions, collaborating with cross-functional teams, and mentoring junior data https://jobeax.com/link/jOXlfQ8JM0UfgeL3 ...
... agricultural monitoring (raster processing, zonal statistics, ML classification, time-series modeling). - Integrate outputs with downstream systems (dashboards, APIs, ML models) to support digital agronomy and sustainability reporting. - Maintain data quality, document methodologies, and support junior geospatial analysts. - Promote ...
... applications for accuracy, latency, and cost. Implement data preprocessing, feature engineering, and ML model training workflows. Work with structured and unstructured datasets to solve business problems. Collaborate with Product Managers, Software Engineers, and Subject Matter Experts to deliver AI-driven features. Monitor model ...
... scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field - 3–8 years of relevant experience Skills: data scientist,genai,python,sql,pyspark,aiml,ml
... a skilled Data Scientist to join our team, focusing on the development and implementation of advanced AI models. The ideal candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop data models using generative AI ...
... Experience working with large, complex datasets in cloud-based or big data environments. - Practical understanding of Nixtla library is a plus. - Experience with MLOps , model monitoring, and CI/CD pipelines. Domain Knowledge Strong Supply Chain domain knowledge , especially demand forecasting, inventory planning, and sales ...
... while considering feasibility, governance and measurable value. Maintains a continuous-learning mindset and shares knowledge across the team. Mentors junior data scientists and provides constructive technical guidance. Experience and Qualifications Master's degree or PhD in Data Science, Statistics, Mathematics, Computer ...
... explainability, and business outcomes Contribute to best practices for model governance, feature lineage, documentation, testing, interpretability, and responsible AI Guide technical decisions on ML solution design, operationalization patterns, and production support expectations Mentor other data scientists and ML engineers ...
... looking for a Lead Data Scientist who can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, guide technical decisions, and help grow ProcDNA's data science practice through client relationships and new ...
... Scikit-learn) and statistical analysis. Time series models (Prophet, XGBoost, LSTM for Azure ML). Model performance tracking and retraining strategies using Azure ML. Exposure to AI based solutions in areas of Search, product meta-data generation or discovery. Experience in designing and implementing Data Science best practices ...
... Data Science (CDS) team partners with Shell's business units to deliver data-driven solutions through deep process understanding and technical excellence. As a Data Scientist within the Digital Process Twin (DPT) portfolio, you will apply process mining, optimization, and AI/ML techniques to process-centric data to identify ...
... knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving abilities Ownership mindset with a focus on quality and scalability Additional Details • Work Mode & Location: Full-time, Work from Client (Mumbai)
... standards, and best practices. Present findings, recommendations, and AI roadmaps to leadership teams. Provide technical guidance and mentoring to junior data scientists and analysts. Collaborate with global teams and external partners to deliver data-driven solutions. Advanced knowledge of Python, SQL, and modern data science ...
... seamlessly, and access financial tools tailored to their goals. We are working to build personalized financial journeys for our clients, powered by new-age tech, AI, Machine Learning and Data Science. Be part of a team that's scaling sustainably, thinking big, and building for the next billion. Tech Systems that run at Scale: ...
Position: Data Scientist Experience: 3 – 4 Years We are looking for a Data Scientist to help us see those patterns earlier: which investors need a nudge, which portfolios are drifting off-plan, and which programs are actually moving the needle. Investment and portfolio analytics- build models that surface portfolio drift, ...