Data Scientist UK
Data Scientist UK
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Job Description
Dataiku is The Universal AI Platform giving organizations control over their AI talent processes and technologies to unleash the creation of analytics models and agents. Providing no- low- and full-code capabilities Dataiku meets teams where they are today allowing them to begin building with AI using their existing skills and knowledge.
The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only develop solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform helping integrate Dataiku with other tools and technologies providing user training and co-developing data science projects from design to deployment.
Just as the non-technical skills are important so too are the technical. Our Data Scientists work on the Dataiku platform on a daily basis. Aside from the visual tools our team uses mostly Python with occasional work in other languages (e.g. R SQL Pyspark JavaScript etc.). An ideal candidate is excited to teach data science and how to use the Dataiku platform to customers and learn about new technologies.
Key Areas of Responsibility (What Youll Do)
- Help users discover and master the Dataiku platform via user training office hours and ongoing consultative support
- Co-develop production-level data science projects with our customers across different industries and use cases
- Provide strategic input to the customer and account teams that help make our customers successful.
- Provide data science expertise both to customers and internally to Dataikus sales and marketing teams
- Run demo booth/tech talk duties at company public events (e.g. Everyday AI)
- Contribute to internal assets (internal best practice or external blog post/project on the public gallery)
Experience (What Were 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 Dataikus customers and the general public
- The ability to clearly explain complex topics to technical as well as non-technical audiences
- 2-10 years of experience with Python and SQL
- 2-10 years of experience with building ML models and using ML tools (e.g. sklearn)
- Experience with LLM
- Experience with data visualisation and building web apps with Python frameworks (Dash Streamlit)
What are you waiting for!
At Dataiku youll be part of a journey to shape the ever-evolving world of AI. Were not just building a product; were crafting the future of AI. If youre ready to make a significant impact in a company that values innovation collaboration and your personal growth we cant wait to welcome you to Dataiku! And if youd like to learn even more about working here you can visit our Dataiku LinkedIn page.
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 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:
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 activityhere.
Employment Type
Full-Time
