Dataiku

3 Jobs

1,512 Employees

About the Company

Dataiku is The Universal AI Platform(tm), giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Aggressively agnostic, it integrates with all clouds, data platforms, AI services, and legacy systems to ensure full technology optionality -- empowering customers to future-proof their AI initiatives.

Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to build with AI using their existing skills and knowledge. Designed for the most demanding enterprise environments, Dataiku builds governance into every part of the platform, ensuring regulatory compliance and complete business alignment.

More than 700 companies worldwide use Dataiku, including leaders across industries including life sciences, logistics, retail, manufacturing, energy, financial services, software, and technology. With a strong focus on the Forbes Global 2000, Dataiku also supports non-profits and academic institutions through its AI-for-Good initiatives.

Listed Jobs

Company Name: Dataiku
Job Title: Product Analyst Intern
Job Description: **Job Title** Product Analyst Intern **Role Summary** Participate in the Technology Team’s Product Analytics unit to develop, monitor, and interpret product metrics, build user‑data prototypes, and deliver actionable insights that drive product improvements and feature adoption across Dataiku’s platforms. **Expectations** - Gain a holistic understanding of product analytics and data‑driven decision making. - Resolve ambiguous analytical problems with a focus on impact. - Collaborate closely with cross‑functional teammates and communicate findings to a broad audience. **Key Responsibilities** - Define and implement metric‑alerting systems to monitor data quality and product performance. - Design and build a prototype user‑base model that consolidates usage, assignment, community, and learning data. - Conduct feature launch analysis and usage studies on Mixpanel, Dataiku DSS, and community/academy sites. - Produce reporting dashboards and insights for new features and community engagement. - Respond to analytics requests related to product metrics, working with other data teams to ensure accurate, robust data foundations. **Required Skills** - Advanced SQL querying for large datasets. - Core statistical knowledge and experience with experimentation design. - Python proficiency is a plus. - Strong analytical reasoning and impact‑oriented mindset. - Excellent written and verbal communication in professional English. - Ability to thrive in ambiguous, collaborative environments. **Required Education & Certifications** - Bachelor’s, Master’s, or equivalent degree in a quantitative field (Economics, Data Analytics, Data Engineering, Computer Science, Statistics, Mathematics, Data Science, etc.).

Company Name: Dataiku
Job Title: Infrastructure Engineer
Job Description: **Job title**: Infrastructure Engineer **Role Summary**: Operates, maintains, and troubleshoots cloud‑based UNIX/Linux infrastructure that supports both internal and customer‑facing services. Works with AWS (primary), Azure, GCP, Terraform, Ansible, Kubernetes, and Python to ensure high availability, performance, and security. **Expactations**: - Be proactive and self‑directed in day‑to‑day operations. - Communicate clearly with teammates and stakeholders. - Follow and improve runbooks, incident procedures, and automation practices. - Continuously learn new tools and deepen technical expertise. **Key Responsibilities**: 1. Operate, maintain, and troubleshoot UNIX/Linux systems in cloud environments. 2. Support and maintain configuration‑management and Infrastructure‑as‑Code (IaC) setups (Terraform, Ansible). 3. Manage cloud resources: virtual machines, networking components, and managed services. 4. Monitor system health, investigate alerts, and participate in incident response and root‑cause analysis. 5. Perform routine updates, patching, and security hardening. 6. Operate Kubernetes clusters and container workloads, focusing on operational stability. 7. Collaborate with senior engineers on automation, monitoring, and best‑practice development. 8. Document procedures, runbooks, and troubleshooting guides to enhance team efficiency. **Required Skills**: - Hands‑on UNIX/Linux administration and shell scripting. - Understanding of networking fundamentals (TCP/IP, DNS, routing, firewalls, load balancing) in cloud or data‑center contexts. - Practical experience with AWS services (compute, networking, monitoring). - Basic scripting or development experience (Python preferred). - Clear communication, collaboration, and a growth mindset. - Basic familiarity with Terraform, Ansible, Kubernetes, and monitoring tools such as Grafana is a plus. **Required Education & Certifications**: - Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent practical experience. - Preferred certifications: AWS Certified Solutions Architect, Linux Foundation LFCS, Terraform Associate, or similar.

London, United kingdom

Remote

04-02-2026

Company Name: Dataiku
Job Title: Corporate Strategy Intern
Job Description: **Job Title** Corporate Strategy Intern **Role Summary** A short‑term internship focused on analysing win/loss data to inform corporate strategy. Interns will collaborate with an external provider, conduct customer interviews, distil actionable insights, and present findings to broader teams. **Expectations** - Complete assigned tasks within timeline - Maintain high data quality and confidentiality - Communicate insights clearly to non‑technical audiences **Key Responsibilities** - Identify key opportunities for strategic improvement from win/loss data. - Coordinate and support external win/loss provider activities. - Design, conduct, and record prospect/customer interviews. - Analyze qualitative and quantitative findings. - Prepare concise reports and slide decks. - Present actionable insights to cross‑functional stakeholders. **Required Skills** - Strong analytical and research abilities. - Excellent written and oral communication. - High level of organization and time‑management. - Ability to collaborate effectively in a team setting. - Full professional proficiency in English. **Required Education & Certifications** - Bachelor’s, Master’s, or equivalent degree in a quantitative or business discipline. - No mandatory certifications required.