Senior Data Scientist (AI/ML) in Bengaluru, India

... 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 ...

... 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 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 ...

• Hybrid

... 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 ...

... Develop GenAI/NLP applications, and/or time-series, computer vision, commercial analytics models. Build production-ready solutions applying MLOps best practices (MLflow, CI/CD, monitoring, data quality). Apply data science methods, machine learning tools, visualization and/or statistical techniques along with domain knowledge ...

... 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 ...

• Hybrid

... 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 ...

... 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, ...

... Expertise in tools required to execute a data science project - SQL, Python, R, ML algorithms - Expertise in using Cloud solutions(AWS, Azure, etc.) for deploying data science projects - Synthesizing findings and insights through effective story telling through visualization tools such as Power BI /Tableau - Detail-oriented ...

$100 USD

... novel measurement approaches Ideal For: Senior and Staff data scientists who want one of the hardest, most consequential analytics surfaces in AI software Applied ML practitioners who'd rather build the pipeline than wait for one Analysts who moved into ML and never stopped shipping Anyone drawn to where classical ML, LLM-native ...

DATA SCIENTIST - TIME SERIES FORECASTINGAre you a Data Scientist who loves turning historical data into accurate predictions and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that ...

... cross-validation, hyperparameter tuning, feature engineering, and model comparison. Experience selecting appropriate algorithms based on business objectives, data characteristics, interpretability requirements, and model performance. Experience with model interpretability and explainability, using techniques such as SHAP, ...

• Remote

... comfortable using LLMs/AI copilots as part of daily workflow (analysis, documentation, communication, process design), not just as a novelty. - Experience working with AI/ML teams and understanding of how annotated data feeds into model training. - Strong understanding of quality frameworks (QA/QC) for spatial data and annotation ...

... clients span autonomous mobility, medical AI, agriculture, and more—powering next-generation AI systems with high-quality data services. We are seeking a skilled Data Engineer to help scale and enhance our internal data observability and analytics platform. This platform integrates with data annotation tools and ML pipelines ...

... worker safety across thousands of licensed US facilities Greenfield data platform work on a modern AWS stack — you will shape the architecture, not inherit it Senior-level autonomy with cross-functional influence across product, backend engineering, and AI/ML teams Competitive senior compensation package, equity participation, ...

... Pipeline, ETL/ELT, and Data Warehousing. - Effective use of AI and/or LLMs to increase efficiency in deliverables. - Extensive experience working with various data sources (DB2, SQL,Oracle, flat files (csv, delimited), APIs, XML, JSON). - Experience implementing data integration techniques such as event/message based integration ...