776 to 800 of 896 Remote Databricks Jobs

to be obtained through the Institute and Faculty of Actuaries in the UK. Our team values continuous learning, you can enjoy free access to top training platforms like DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum … methods - in particular GLMs. Knowledge of relevant machine learning techniques - in particular GBMs. Proven experience in working with large data sources. Good command of Advanced Excel, Python, SQL, SAS, Databricks or similar coding languages. Experience of Willis Towers Watson software such as Radar and Emblem. Good stakeholder management skills, including communication, expectation management and the ability to convey technical concepts More ❯

Data Science & ML Expert in Python , data wrangling, EDA, modelling, validation, and deployment Strong in supervised & unsupervised learning ; exposure to NLP/OCR a plus Proficient with AWS SageMaker , Databricks ; Palantir Foundry/AIP is a big plus Insurance/underwriting/claims background is a bonus Confident communicator with client-facing experience 🎯 Interview Process: Round 1: Technical/scenario More ❯

Data Science & ML Expert in Python , data wrangling, EDA, modelling, validation, and deployment Strong in supervised & unsupervised learning ; exposure to NLP/OCR a plus Proficient with AWS SageMaker , Databricks ; Palantir Foundry/AIP is a big plus Insurance/underwriting/claims background is a bonus Confident communicator with client-facing experience 🎯 Interview Process: Round 1: Technical/scenario More ❯

Data Science & ML Expert in Python , data wrangling, EDA, modelling, validation, and deployment Strong in supervised & unsupervised learning ; exposure to NLP/OCR a plus Proficient with AWS SageMaker , Databricks ; Palantir Foundry/AIP is a big plus Insurance/underwriting/claims background is a bonus Confident communicator with client-facing experience Interview Process: Round 1: Technical/scenario More ❯

in modern data architecture (dimensional modelling, data mesh, data lake) & best practices (agile, CI/CD, IaC, observability). Experience with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to learn more? Get More ❯

build multiple MMM's, conduct A/B tests, and apply statistical modeling techniques. Proficiency in Python and/or R. Strong SQL skills, familiar with data warehousing (Snowflake, Databricks). Ability to translate technical results into clear presentations and actionable insights. Excellent communication and stakeholder management skills, including engaging with senior stakeholders. Additional Information We welcome applicants from diverse More ❯

A/B tests and other statistical modelling techniques. Proficiency in Python and/or R. Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). Ability to use data visualisation tools such as Looker/Tableau. Ability to convert technical outputs into succinct and compelling presentations with clear narrative and actionable recommendations. Strong clarity More ❯

A/B tests and other statistical modelling techniques. * Proficiency in Python and/or R. * Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). * Ability to use data visualisation tools such as Looker/Tableau. * Ability to convert technical outputs into succinct and compelling presentations with clear narrative and actionable recommendations. * Strong clarity More ❯

A/B tests and other statistical modelling techniques. • Proficiency in Python and/or R. • Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). • Ability to use data visualisation tools such as Looker/Tableau. • Ability to convert technical outputs into succinct and compelling presentations with clear narrative and actionable recommendations. • Strong clarity More ❯

A/B tests and other statistical modelling techniques. • Proficiency in Python and/or R. • Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). • Ability to use data visualisation tools such as Looker/Tableau. • Ability to convert technical outputs into succinct and compelling presentations with clear narrative and actionable recommendations. • Strong clarity More ❯

as customers. To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just More ❯

Coordinate with infrastructure teams to ensure proper connectivity between on-premises systems and Azure cloud environments. The role will require you to stay updated on Azure Data Factory and Databricks features and recommend enhancements to improve ingestion workflows. There will also be an element of Troubleshooting and resolving pipeline failures, minimizing downtime and ensuring data availability. About You You have More ❯

stakeholders and business users. Key Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. Strong stakeholder management - able to More ❯

stakeholders and business users. Key Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. Strong stakeholder management - able to More ❯

stakeholders and business users. Key Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. Strong stakeholder management – able to More ❯

stakeholders and business users. Key Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. Strong stakeholder management – able to More ❯

stakeholders and business users. Key Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. Strong stakeholder management - able to More ❯

stakeholders and business users. Key Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. Strong stakeholder management - able to More ❯

stakeholders and business users. Key Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. Strong stakeholder management - able to More ❯

stakeholders and business users. Key Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. Strong stakeholder management - able to More ❯

stakeholders and business users. Key Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. Strong stakeholder management - able to More ❯

stakeholders and business users. Key Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. Strong stakeholder management - able to More ❯

stakeholders and business users. Key Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. Strong stakeholder management - able to More ❯

stakeholders and business users. Key Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. Strong stakeholder management – able to More ❯

stakeholders and business users. Key Skills: Proven background in platform selection, configuration, and onboarding (ideally across AWS, cloud, or on-prem solutions). Hands-on familiarity with tools like Databricks, Python, and SaaS analytics environments. Experience working within a CTO or principal engineering team to translate complex technical concepts into language understood by functional users. Strong stakeholder management – able to More ❯