At a Glance
- Tasks: Co-develop data science projects and support clients in mastering the Dataiku platform.
- Company: Join Dataiku, a leader in AI technology and innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal growth.
- Other info: Diverse and inclusive workplace with a commitment to fairness.
- Why this job: Shape the future of AI while working on exciting real-world problems.
- Qualifications: Experience with Python, SQL, and a passion for learning and sharing knowledge.
The predicted salary is between 28800 - 48000 £ 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 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 primarily 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 while being able to explain their work to other data scientists and clients.
In this role, you will help the team:
- Co-develop production-level data science projects with our customers
- Analyse and investigate various kinds of data and machine learning applications across industries and use cases
- Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
- 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
You might be a good fit for the role if you have:
- 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
- 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)
- Familiarity with data visualisation in Python, R
- Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
Technical skills that may help you in the role:
- 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
At Dataiku, you will be part of a journey to shape the ever-evolving world of AI. We are not just building a product; we are crafting the future of AI. If you are 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.
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.
Data Scientist in London employer: Dataiku
Dataiku is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Software Engineers in Test to thrive. With flexible remote or onsite options in vibrant cities like Paris, London, Berlin, and Amsterdam, employees benefit from a diverse work environment that values individual contributions and promotes professional growth through mentorship and cutting-edge technology. The company's commitment to quality and inclusivity ensures that every team member is empowered to make a meaningful impact in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current Dataiku employees on LinkedIn, join relevant groups, and attend industry meetups. Building connections can give you insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those using Python and SQL. This will not only demonstrate your technical abilities but also your problem-solving skills.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Practice explaining complex data science concepts in simple terms, as you'll need to engage with both technical and non-technical audiences at Dataiku.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Dataiku team and being part of our AI journey.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Show Your Passion for Data Science:When writing your application, let your enthusiasm for data science shine through! Share specific examples of projects you've worked on and how they relate to the role at Dataiku. We love seeing candidates who are genuinely excited about the field.
Tailor Your Skills to the Job:Make sure to highlight your experience with Python, SQL, and any machine learning tools you've used. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your technical prowess!
Communicate Clearly:Remember, you’ll be explaining complex topics to both technical and non-technical audiences. Use clear and concise language in your application to demonstrate your ability to communicate effectively. This is a key skill we value at Dataiku!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about joining our team at Dataiku!
How to prepare for a job interview at Dataiku
✨Know Your Tech Inside Out
Make sure you're well-versed in Python and SQL, as these are crucial for the role. Brush up on your machine learning tools like sklearn and be ready to discuss how you've used them in past projects.
✨Show Off Your Communication Skills
Since you'll be interacting with clients, practice explaining complex data science concepts in simple terms. Think of examples where you've successfully communicated technical information to non-technical audiences.
✨Demonstrate Your Curiosity
Express your eagerness to learn new technologies and modelling techniques. Share instances where you've taken the initiative to explore new tools or methods, showing that you're not just a coder but a lifelong learner.
✨Prepare for Client-Facing Scenarios
Think about how you would approach user training or support. Prepare some scenarios where you've helped others understand a platform or tool, highlighting your empathy and teaching skills.
