2,049 good data lab jobs in India.

... Knowledge of process simulation, optimization, or operations research methods. - Exposure to big data frameworks (Spark, Databricks) for handling large-scale event data. - Ability to actively engage in professional communities and forums to share insights and collaborate on advancements in data science and analytics. - Experience ...

... production-ready code and perform data analysis with Python and SQL Create workflows for model development and apply feature engineering methods Use Azure AI Search to make data and models easier to consume for business needs Coordinate with developers and project managers using GitLab and Jira Refine data pipelines and tune model performance ...

... sustainability sectors. Position: Senior Android Developer Develop and deploy satellite-based crop classification models using multispectral, hyperspectral, and SAR datasets (Sentinel-1/2, Landsat, NISAR). - Design Earth Engine Python API workflows for cropland segmentation, sowing date estimation, acreage mapping, and in-season ...

... data transformations. Reporting Enablement: Ensure the platform reliably feeds downstream BI tools (Power BI or similar) with clean, curated, analytics-ready data. Performance Optimization: Analyze and optimize Spark/pipeline workloads for performance, scalability, and reliability. Data Governance: Implement RBAC, data ...

Role Overview : As a commercially savvy Lead Data Scientist, you will lead your team on client briefs whilst collaborating closely with consultants and Trade Partner stakeholders. You'll bring fresh ideas and innovative thinking to push the boundaries of what's possible with consumer analytics. You will drive AI excellence ...

... SQL, PLSQL, and database query optimization.- Experience of developing and applying conceptual and logical data models (3NF).- Experience of using at least one data modelling tool, ideally ERStudio or Erwin.- Understanding of fundamental design principles behind a scalable application and data design.- Strong Exposure to ...

... workflows, and structured output pipelines for LLM applications. Fine-tune, evaluate, and optimize LLM-powered 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 ...

... Primary Skills (must have): Strong Azure or AWS knowledge Strong working 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 ...

... This includes building secure, observable and human-governed AI-assisted workflows, evaluating their quality, and integrating them responsibly into existing data pipelines and business processes. Data Science, Engineering & Quality Design, build and maintain scalable data-processing and analytical workflows using Python, ...

... SAP teams, data stewards, project teams, and implementation partners. Strong team player who collaborates well across business and IT to solve complex master data issues and actively Should have managed data governance forums, regulatory/audit discussions, partner teams, and senior stakeholder Enterprise data strategy and ...

... refactor it into scalable, well-documented models without disrupting downstream consumers. Enable Data Producers: Work with domain engineering teams to improve data quality at the source. You help producers understand how their data flows through the Medallion layers and what 'good' looks like. Drive Production Excellence: ...

... and broadcast data. Working under the guidance of an experienced Data Engineers and Architects, you will gain hands-on experience designing and maintaining scalable, efficient data pipelines that support enterprise web applications, analytics, and business intelligence. We are seeking a Lead Data Engineer to join our Measurement ...

... opportunities, and business insights. Create dashboards, visualizations, and reports that communicate insights effectively to technical and non-technical stakeholders. Data Engineering & Solution Delivery Collaborate with data engineering teams to establish scalable data pipelines and AI-ready data platforms. Ensure data quality, ...

... of experience in Python Experience working with databases and expert knowledge of SQL Proficiency in statistical ML algorithms and statistics analysis methods Good knowledge of machine learning tools such as Scikit-Learn, Pytorch/Tensorflow Experience in Deep Learning applications is a plus Experience with Big Data technologies, ...

... improvement of data pipelines, scalable and reusable frameworks, and implement data governance and data quality engines. The position enables trusted, governed data across systems, supporting analytics, compliance, and business operations at ELGi. Data Engineering & Architecture Design scalable, production-grade ETL/ELT pipelines ...

Data Pipeline Development & Operations - Design, build, and operate scalable and reliable data pipelines on the Databricks platform - Develop end-to-end data workflows from ingestion through transformation to consumption - Implement robust error handling, monitoring, and alerting mechanisms - Ensure data pipeline reliability, ...

... not notebook-level scripting Implement robust data quality controls: schema validation, deduplication, referential integrity checks, and anomaly detection Collaborate on data modeling (star/snowflake, data vault, medallion architecture) and define data contracts and lineage Build CI/CD for data pipelines (tests, linting, ...

... visualization, distributed architectures, and modern data engineering https://jobeax.com/link/TtkK7BHPbancvnFq Responsibilities:- Design, develop, and maintain scalable ETL/ELT data pipelines.- Build and manage distributed and event-driven architectures for large-scale data processing.- Develop backend services and data infrastructure ...

... data-quality issues. - Support business intelligence and analytics projects. - Help convert raw data into clear, actionable insights. - Research and evaluate relevant datasets, metrics, and analytical approaches. - Document analysis, assumptions, findings, and conclusions. - Collaborate with the team on data-driven problem solving. ...

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, ...