... Generative AI to design, build, and deploy scalable data-driven solutions. The ideal candidate will work closely with business and engineering teams to transform data into actionable insights and production-grade AI systems. Key Responsibilities Data Science & Analytics Analyze large, complex datasets to identify trends, patterns, ...
... pipelines. Develop data set processes for data modeling, mining, and production. Analyze and organize raw data, ensuring it is accessible and usable. Collaborate with data scientists and architects on data initiatives and ensure the data is aligned with business needs. Create and maintain data documentation including data flow diagrams ...
Front face customer to understand data requirements and analyse data Build solutions and systems to manage data and analytics workload Improve reliability, quality, and time-to-market of our suite of software solutions. Responsibilities: Using SQL/Python to extract data from primary and secondary sources Performing analysis ...
Role Overview:As a Data Scientist II, you will serve as a pivotal bridge between complex data architecture and actionable business strategy. Your day-to-day involves architecting sophisticated machine learning models, conducting deep-dive exploratory data analysis, and translating technical findings into high-impact narratives ...
... Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured ...
... Experience selling research or some form of subscription service Experience with Salesforce or other CRM system Previous professional exposure to energy economics, power markets and power networks would be an advantage Accidental, term life and medical insurance Hybrid Work model Maternity leave A fun, informal, collaborative ...
Position : Senior Databricks Data EngineerEmployment Type : Full TimeLocations : Bangalore / Chennai / Hyderabad- 10+ years of experience in Data Engineering, Data Platforms, and Analytics, with 10+ years of overall consulting experience in enterprise technology environments.- Strong hands-on experience with Databricks, ...
... teams to integrate predictive models into live production environments, ensuring low-latency performance and high reliability.- Conduct deep-dive exploratory data analysis on large-scale financial datasets to uncover hidden patterns that drive product strategy and business growth.- Partner with stakeholders to define key ...
... building strong relationships with FMCG/CPG clients, understanding the commercial challenges facing consumer brands, and successfully demonstrating the value Mintel data can provide. Data-driven: You understand how to leverage the power of data and forward-looking metrics to drive better performance results for your clients. You ...
... Data and Applied Scientist at SAP, you'll build the context engine grounded in SAP’s Business ontology: the semantic infrastructure that transforms raw business data into the knowledge layer powering SAP's AI agents and assistants. What you'll build - The semantic and contextual foundation of SAP's AI. While generic AI agents ...
... NoSQL data stores. - Solid hands-on knowledge of cloud platforms (AWS, GCP, or Azure). - Proven ability to design for performance, reliability, and security in data-intensive systems. - Startup experience - specifically in building product from 0-1 Exposure to AI/ML-powered systems, data engineering, or large-scale data processing. ...
... ongoing optimization.- Strategic Leadership : Define the data science roadmap, align initiatives with business priorities, and influence senior leadership through data-driven insights.- Team & Culture Building : Lead, grow, and inspire a high-performing team of data scientists, fostering innovation, collaboration, and continuous ...
... products, while leveraging the scale and innovation of technology from across the Amazon family, including AWS. You will use object-oriented concepts, algorithms and data structures to build systems at Amazon scale You will design, launch, and re-architect multi-tier systems with large amounts of data Bachelor's degree or higher ...
... with marketing automation or CRM tools (Good to Have) - Exposure to conversion rate optimization (CRO) practices (Good to Have) - Basic understanding of SQL or data visualization tools (e.g., Looker, Power BI) (Good to Have) Benefits & Perks - Full ownership of a real, growing consumer brand – not a narrow function within ...
... today's always on, AI driven marketing world. WPP is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered ...
Front face customer to understand data requirements and analyse data Build solutions and systems to manage data and analytics workload Improve reliability, quality, and time-to-market of our suite of software solutions. Responsibilities: Using SQL/Python to extract data from primary and secondary sources Performing analysis ...
... including airlines, accommodation, transport, cards, visa services, meetings and events, and marketing communications. Proficiency in executive reporting and data analytics tools such as Excel, Power BI, and SAP. Ability to manage multiple projects with strong attention to detail and strategic impact. A collection of over ...
... develop, and maintain scalable data pipelines using Python and Apache Spark.- Implement efficient ETL/ELT processes for large-scale structured and unstructured datasets.- Develop and optimize complex SQL queries, data models, and transformations.- Ensure data quality, integrity, and reliability across the https://jobeax.com/link/KGEJVg5sFMkW48k2 ...
... Monitor and troubleshoot data pipelines and jobs. Strong experience in Azure Data Factory, Azure ADLS, Azure Databricks (PySpark, SQL). Good understanding of data modeling (Star/Snowflake schema) and data warehousing concepts. Hands-on experience with Power BI integration and enabling data for reporting. Hands-on experience ...