12 of 12 Dataiku Jobs in England

with sensitive corporate data. Industry Knowledge: Experience within the insurance industry is required. Technologies & Tools Snowflake Data Cloud and related technologies (e.g., Fivetran, DBT, Dataiku, Collibra preferred). Microsoft Azure, including Azure Synapse and Azure DevOps. Microsoft SQL Server tools, including Master Data Services, SSIS, SSAS, and SSRS. Programming experience ...

with sensitive corporate data. Industry Knowledge: Experience within the insurance industry is required. Technologies & Tools Snowflake Data Cloud and related technologies (e.g., Fivetran, DBT, Dataiku, Collibra preferred). Microsoft Azure , including Azure Synapse and Azure DevOps. Microsoft SQL Server tools , including Master Data Services, SSIS, SSAS, and SSRS. Programming experience ...

with sensitive corporate data. Industry Knowledge: Experience within the insurance industry is required. Technologies & Tools Snowflake Data Cloud and related technologies (e.g., Fivetran, DBT, Dataiku, Collibra preferred). Microsoft Azure , including Azure Synapse and Azure DevOps. Microsoft SQL Server tools , including Master Data Services, SSIS, SSAS, and SSRS. Programming experience ...

insurance sector About You You’ll bring: Previous experience as a Data Engineer in insurance Hands-on expertise with Snowflake , dbt , Fivetran, Dataiku, and ideally Collibra Working knowledge of Azure technologies such as Synapse and DevOps Experience with Microsoft SQL Server stack including MDS , SSIS , SSAS , and SSRS Familiarity with ...

insurance sector About You You’ll bring: Previous experience as a Data Engineer in insurance Hands-on expertise with Snowflake , dbt , Fivetran, Dataiku, and ideally Collibra Working knowledge of Azure technologies such as Synapse and DevOps Experience with Microsoft SQL Server stack including MDS , SSIS , SSAS , and SSRS Familiarity with ...

Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ● Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ● Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. ● Ability to work cross-functionally with marketing, CRM, and engineering teams. ● Excellent communication ...

Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ● Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ● Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. ● Ability to work cross-functionally with marketing, CRM, and engineering teams. ● Excellent communication ...

Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) ● Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. ● Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. ● Ability to work cross-functionally with marketing, CRM, and engineering teams. ● Excellent communication ...

extraction to model evaluation. Collaborating with cross-functional teams to turn insights into actionable business decisions. Tech Stack & requirements: Python | SQL | Snowflake | DBT | Tableau | Dataiku 3+ years of experience in Data Science or Machine Learning. Strong Python & SQL skills, with experience working in cloud-based data environments. A problem-solver ...

extraction to model evaluation. Collaborating with cross-functional teams to turn insights into actionable business decisions. Tech Stack & requirements: Python | SQL | Snowflake | DBT | Tableau | Dataiku 3+ years of experience in Data Science or Machine Learning. Strong Python & SQL skills, with experience working in cloud-based data environments. A problem-solver ...

Azure, GCP). ML Ops tools and deployment workflows. AI-assisted development tools (e.g., GitHub Copilot, Tabnine). Familiarity with data platforms like Dataiku, Databricks. Strong software engineering fundamentals (Python preferred; others welcome). Key Skills & Experience Ideally 5+ years of professional experience, including 3+ years in AI and data ...

Azure, GCP). ML Ops tools and deployment workflows. AI-assisted development tools (e.g., GitHub Copilot, Tabnine). Familiarity with data platforms like Dataiku, Databricks. Strong software engineering fundamentals (Python preferred; others welcome). Key Skills & Experience Ideally 5+ years of professional experience, including 3+ years in AI and data ...