---
title: 'Data Scientist at Dataiku'
canonical: 'https://feeny.ai/job/data-scientist-dataiku-london-n28n8zhv73zs'
type: 'job'
last_seen: '2026-09-14'
---

# Data Scientist at Dataiku

- **Company:** Dataiku
- **Location:** London, United Kingdom
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-14
- **Apply:** https://job-boards.greenhouse.io/dataiku/jobs/6186414004

## Job description

[Dataiku](https://www.dataiku.com/?utm_source=newswire&utm_medium=press-release&utm_campaign=PlatformforAISuccess) is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku [blog](https://blog.dataiku.com/?_gl=1*17edvf4*_ga*MjA1Mjk5NzY4OC4xNjY3MjMyMDUz*_ga_B3YXRYMY48*MTY2OTA1MDY5NS4xMi4xLjE2NjkwNTA2OTguNTcuMC4w), [LinkedIn](https://www.linkedin.com/company/dataiku/), [X](https://x.com/dataiku), and [YouTube](https://www.youtube.com/dataiku).

The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.

Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team mostly uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques and to explain their work to other data scientists and clients.

## Key Areas of Responsibility (What You’ll Do)

- Scope and co-develop production-level data science projects with our customers across different industries and use cases
- Help users discover and master the Dataiku platform via user trainings, office hours, and ongoing consultative support
- Provide strategic input to the customer and account teams to help our customers succeed
- Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
- Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality

Experience (What We’re Looking For):

- Curiosity and a desire to learn new topics and skills
- Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
- The ability to clearly explain complex topics to technical as well as non-technical audiences
- Over 2 years of experience with Python and SQL
- Over 2 years of experience with building ML models and using ML tools (e.g., sklearn)
- Familiarity with data visualisation in Python and R
- Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL

Bonus points for any of these:

- Experience with Consulting and/or Customer-facing Data Science roles
- Experience with Data Engineering or MLOps
- Experience developing WebApps in JavaScript, RShiny, or Dash
- Experience building APIs
- Experience using enterprise data science tools
- Passion for teaching or public speaking

What are you waiting for!

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our [Dataiku LinkedIn page](https://www.linkedin.com/company/dataiku/).

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: [reasonable-accommodations@dataiku.com](http://reasonable-accommodations@dataiku.com/)

Protect yourself from fraudulent recruitment activity

Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity [here.](https://www.dataiku.com/legal/dataiku-recruitment-scams/)

## About Dataiku

## Company Overview
- **One-liner**: Dataiku provides an enterprise orchestration layer for building, deploying, and governing AI, connecting data, ML, LLMs, and agents in a single platform.
- **Entity Type**: Private (venture-backed; notable investors include FirstMark Capital and Battery Ventures)
- **Headquarters**: New York, United States (with a co-headquarters in Paris, France and offices in 13 global locations)
- **Founded**: 2013
- **Founders**: Florian Douetteau (CEO), Clément Sténac (CTO), Marc Batty (Co-Founder)

## Core Business
- **Primary industry**: Enterprise AI platform / Data Science & Machine Learning / Generative AI
- **Target customers**: B2B, primarily large enterprises and highly regulated industries (e.g., healthcare, financial services, consumer goods)
- **Mission**: "Unite your people, data, governance, and technology with the Platform for AI Success."

## Products & Services
- **[Dataiku Platform]**: A unified SaaS / on-premise environment for analytics, machine learning, generative AI, and autonomous agents. Core capabilities include:
  - **Orchestration** – connecting data, ML, LLMs, and agents across any infrastructure.
  - **Governance** – unified visibility, cost controls, and audit-ready oversight for compliance and risk management.
  - **People** – collaborative workflows enabling business and technical teams to work together without handoffs.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: $350M in Annual Recurring Revenue (ARR)
- **Notable Investors/Partners**: FirstMark Capital, Battery Ventures, Alexandre Dayon (former President & CPO of Salesforce)
- **Growth Signals**:
  - Over 1,200 employees across 13 offices and remote locations worldwide.
  - Trusted by 1 in 4 of the world’s top companies (based on 2024 Forbes Global 2000, excluding China).
  - Named a Leader in the Gartner® Magic Quadrant™ for AI Platforms for Data Science and ML for five consecutive years (2022–2026).
  - 650+ customers globally, including Johnson & Johnson.

## Competitive Advantages
- Single platform that unifies analytics, ML, LLMs, and agents with built-in governance from day one – reducing fragmentation and risk.
- Strong positioning for highly regulated industries: offers full visibility into compliance, cost, and risk across multi-vendor environments.
- Proven ability to operationalize new AI technologies (gen AI, agents) while maintaining stability and trust – a key differentiator in the enterprise market.

## Strategic Focus
- Continue to lead the enterprise AI platform market by enabling organizations to build and deploy agents grounded in their own data, pipelines, and models.
- Deepen governance capabilities to control cost and risk across the entire AI stack.
- Expand adoption in regulated verticals and support multi-cloud / hybrid deployments.

## Why Work Here
- **Culture**: Dataiku emphasizes "accountable camaraderie," work-life balance, dedicated learning, tolerance, and open-mindedness. Diversity of people and perspective is core to the company.
- **Work model**: Hybrid and remote-friendly – 30% of employees are fully remote; others are expected in the office at least once a week. All employees are welcome to use office spaces as frequently as they like.
- **Recognition**: Great Place to Work Certified™, Inc. Best Workplaces (2019–2022), Forbes America’s Best Startup Employers (2020–2023).
- **Benefits**: Vary by country but focus on health, family support, learning opportunities, and community involvement. The company states it "truly cares about people" and counts progress, not hours.
- **Engineering culture**: Geeky, learning-oriented environment where teams work with cutting-edge AI technologies (agents, LLMs, ML) at enterprise scale.

## Sources
1. [dataiku.com](https://www.dataiku.com/) – Company overview, product details, mission, customer data
2. [dataiku.com/company](https://www.dataiku.com/company) – Leadership team, investors, ARR, employee count, values
3. [dataiku.com/company/careers](https://www.dataiku.com/company/careers) – Working styles, benefits, culture, office locations
4. [linkedin.com/company/dataiku](https://www.linkedin.com/company/dataiku) – Company size, industry, headquarters
5. [job-boards.greenhouse.io/dataiku](https://job-boards.greenhouse.io/dataiku) – Current job openings (40+ as of search date)

## Other roles at Dataiku

- [Sr Data Scientist](https://feeny.ai/job/sr-data-scientist-dataiku-united-states-q7ayn9wp93qw) — United States, NY
- [Senior Data Scientist (German-speaking)](https://feeny.ai/job/senior-data-scientist-german-speaking-dataiku-germany-en45ncxjvmm6) — Germany
- [Senior Data Scientist](https://feeny.ai/job/senior-data-scientist-dataiku-singapore-w88xpddbv77n) — Singapore
- [Motion Designer / Video Editor — Apprenticeship (1 or 2 years)](https://feeny.ai/job/motion-designer-video-editor-apprenticeship-1-or-2-years-dataiku-paris-3yags7qsgg4z) — Paris, France
- [Technical Account Manager - UK](https://feeny.ai/job/technical-account-manager-uk-dataiku-london-48d7kdfyb4kz) — London, United Kingdom
- [Head of Design](https://feeny.ai/job/head-of-design-dataiku-united-states-95cprg3jdmjn) — United States, NY / United States
- [Senior Infrastructure Engineer](https://feeny.ai/job/senior-infrastructure-engineer-dataiku-france-yww9n7xnp6yf) — France
- [Sr Technical Account Manager - West](https://feeny.ai/job/sr-technical-account-manager-west-dataiku-united-states-17vkcpty0pmw) — United States
- [RVP, Northeast](https://feeny.ai/job/rvp-northeast-dataiku-united-states-gwwsdc55jw7x) — United States, NY
- [Technical Account Manager - France](https://feeny.ai/job/technical-account-manager-france-dataiku-paris-qar9chsqq2n6) — Paris, France