At a Glance
- Tasks: Qualify deals, conduct discovery meetings, and showcase Dataiku's business value.
- Company: Join Dataiku, a leader in AI solutions with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on cloud infrastructures and analytics.
- Why this job: Leverage your data science skills to make a real impact in enterprise solutions.
- Qualifications: 5+ years in predictive modelling, SQL knowledge, and strong customer engagement skills.
The predicted salary is between 60000 - 80000 £ per year.
Dataiku is looking for a Senior Sales Engineer in Greater London who will operate with a strong data science background. The role includes qualifying deals, conducting discovery meetings, and demonstrating how Dataiku can deliver business value.
The ideal candidate has:
- 5+ years of predictive modelling experience
- SQL understanding
- Comfort engaging with customers at all levels
This position offers a chance to leverage cloud infrastructures and analytics to meet client needs.
Senior AI Solutions Engineer for Enterprise Data in London employer: Dataiku
Dataiku is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer extensive training opportunities and the chance to work with cutting-edge technologies in AI and data science. Our commitment to diversity and inclusion ensures that every team member's voice is valued, making it a rewarding place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Solutions Engineer for Enterprise Data in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and AI fields. Attend meetups or webinars where you can chat with industry folks and get the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive modelling projects and SQL expertise. This will give potential employers a taste of what you can do and how you can add value to their team.
✨Tip Number 3
Prepare for those discovery meetings! Research common challenges faced by businesses in the data space and think about how Dataiku can solve them. Being able to discuss these insights will impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Solutions Engineer for Enterprise Data in London
Some tips for your application 🫡
Show Off Your Data Science Skills:Make sure to highlight your strong data science background in your application. We want to see your predictive modelling experience and SQL knowledge shine through, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Senior AI Solutions Engineer role. Mention how your skills can help us deliver business value and meet client needs, just like we do at StudySmarter.
Engage with Us:Since this role involves engaging with customers, let us know about your experience in conducting discovery meetings and qualifying deals. We love seeing candidates who can connect with clients at all levels!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and get you on the path to joining our team at StudySmarter.
How to prepare for a job interview at Dataiku
✨Know Your Data Science Stuff
Make sure you brush up on your predictive modelling skills and SQL knowledge. Be ready to discuss specific projects where you've used these skills, as this will show your expertise and how you can bring value to Dataiku.
✨Understand the Business Value
Before the interview, research how Dataiku helps businesses leverage data. Think about how you can articulate the business value of AI solutions in your past roles, as this will resonate well with the interviewers.
✨Engage with Confidence
Since you'll be engaging with customers at all levels, practice your communication skills. Prepare to explain complex concepts in simple terms, and think of examples where you've successfully communicated technical information to non-technical stakeholders.
✨Prepare for Discovery Meetings
Anticipate questions that might come up during discovery meetings. Think about how you would qualify deals and what questions you would ask to uncover client needs. This will demonstrate your proactive approach and understanding of the sales process.
