Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Help users master AI tools and co-develop impactful data science projects.
- Company: Join Dataiku, a leader in AI technology with a focus on collaboration.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Why this job: Make a real difference by solving real-world problems with cutting-edge AI.
- Qualifications: Experience in data science and strong communication skills are essential.
- Other info: Be part of a dynamic team with endless learning opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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 endeavours 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.
Key Areas of Responsibility (What You’ll 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
Senior Data Scientist in London employer: Dataiku
Contact Detail:
Dataiku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Dataiku on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those that align with what Dataiku does. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and data analysis techniques. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we can tailor our CVs and cover letters to match the job description perfectly.
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist role. Highlight your data science projects, especially those involving client interaction or training, as these are key to what we do at Dataiku.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our mission. Be sure to mention any experience you have with user training or co-developing projects.
Showcase Your Technical Skills: We love seeing your technical prowess! Include specific tools and technologies you've worked with, especially those relevant to AI and analytics. If you've used Dataiku before, definitely mention that!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Dataiku
✨Know Your Dataiku Inside Out
Before the interview, make sure you’re familiar with the Dataiku platform. Understand its features, especially the no-code and low-code capabilities. This will help you demonstrate how you can assist users in mastering the platform during your discussions.
✨Showcase Your Client-Facing Skills
Since the role involves client interaction, prepare examples of past experiences where you've successfully communicated complex data science concepts to non-technical stakeholders. This will highlight your ability to bridge the gap between technical and non-technical teams.
✨Prepare for Real-World Problem Solving
Think of specific real-world problems you’ve solved using data science. Be ready to discuss your approach, the tools you used, and the impact of your solutions. This will show your practical experience and how you can contribute to co-developing projects.
✨Ask Insightful Questions
Prepare thoughtful questions about Dataiku’s approach to AI and how they support their clients. This not only shows your interest in the company but also gives you a chance to understand their culture and expectations better.